When exploring the best embedded analytics platforms for SaaS products, research insights highlight a few key players that stand out. Customer review analysis indicates that platforms like Tableau and Looker consistently earn high marks for their user-friendly interfaces and robust data visualization capabilities. In fact, many consumers report that Tableau's ability to seamlessly integrate with other tools is a game-changer for their analytics needs. Meanwhile, market research shows that Power BI is often praised for its cost-effectiveness and extensive customization options, making it a favorite among budget-conscious startups. However, not all features are equally essential. Expert evaluations suggest that while advanced predictive analytics can be beneficial, they may not be necessary for every SaaS provider.When exploring the best embedded analytics platforms for SaaS products, research insights highlight a few key players that stand out. Customer review analysis indicates that platforms like Tableau and Looker consistently earn high marks for their user-friendly interfaces and robust data visualization capabilities.When exploring the best embedded analytics platforms for SaaS products, research insights highlight a few key players that stand out. Customer review analysis indicates that platforms like Tableau and Looker consistently earn high marks for their user-friendly interfaces and robust data visualization capabilities. In fact, many consumers report that Tableau's ability to seamlessly integrate with other tools is a game-changer for their analytics needs. Meanwhile, market research shows that Power BI is often praised for its cost-effectiveness and extensive customization options, making it a favorite among budget-conscious startups. However, not all features are equally essential. Expert evaluations suggest that while advanced predictive analytics can be beneficial, they may not be necessary for every SaaS provider. Instead, focus on platforms that offer solid integration capabilities and straightforward reporting tools—essential features that can significantly enhance decision-making without overwhelming users. Interestingly, industry reports indicate that nearly 70% of companies prioritize platforms with strong community support, which is a testament to the importance of user engagement in the analytics space. And let’s not forget about the history: Looker was founded in 2012 and quickly gained traction for its innovative approach to data exploration, which may explain its high ratings in user satisfaction surveys. So, what's the takeaway? If you're on the hunt for an embedded analytics platform, consider your specific needs and budget—there's no one-size-fits-all solution here. After all, choosing the right platform is a bit like picking a favorite pizza topping; it really depends on your taste!
Helical Insight is a powerful embedded analytics tool designed for SaaS. It offers advanced integration of reporting, dashboards, and interactive data visualizations directly into an application. Its features are customized to address the complex data analysis needs of SaaS businesses, providing real-time insights to enhance decision-making processes.
Helical Insight is a powerful embedded analytics tool designed for SaaS. It offers advanced integration of reporting, dashboards, and interactive data visualizations directly into an application. Its features are customized to address the complex data analysis needs of SaaS businesses, providing real-time insights to enhance decision-making processes.
Best for teams that are
Cost-conscious SaaS companies preferring flat pricing over per-user fees.
Developers seeking an open-source, API-driven extensible framework.
Teams needing pixel-perfect, print-ready canned reporting.
Skip if
Teams wanting a fully managed, zero-setup cloud service.
Non-technical users requiring a completely code-free environment.
Simple internal dashboards without custom workflow needs.
Expert Take
Our analysis shows Helical Insight uniquely bridges the gap between modern interactive dashboards and traditional pixel-perfect reporting, a combination rarely found in a single platform. Research indicates its flat pricing model is a game-changer for SaaS scaling, eliminating the punitive per-user costs typical of competitors. Based on documented API capabilities, it offers exceptional extensibility for developers who need to embed analytics deeply into their products without vendor lock-in.
Pros
Flat pricing model with no per-user fees
Open-source framework prevents vendor lock-in
Over 300 APIs for deep customization
Pixel-perfect canned reporting for formal documents
Full white-labeling and multi-tenancy support
Cons
Performance can lag with very heavy datasets
Smaller community compared to Power BI/Tableau
Direct database querying may require optimization
Permissions management can be complex
Fewer pre-built native integrations than giants
This score is backed by structured Google research and verified sources.
Overall Score
9.7/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.9
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of analytics features, including dashboard creation, reporting types, and data handling capabilities specific to embedded SaaS environments.
What We Found
Helical Insight offers a comprehensive suite including ad-hoc reporting, a dashboard designer, and a unique 'Instant BI' NLP interface. Version 6.0 introduces a 'Canned Reporting' module for pixel-perfect, multi-page documents (invoices, statements), addressing a gap often found in modern BI tools.
Score Rationale
The score is high due to the rare combination of modern interactive dashboards and traditional pixel-perfect reporting in a single platform, though it lacks the massive pre-built connector libraries of larger competitors.
Supporting Evidence
It supports cross-database joins, allowing users to combine multiple data sources in a single report. Cross-Database Joins: Combine multiple data sources effortlessly.
— helicalinsight.com
The platform features 'Instant BI' which utilizes NLP and Machine Learning to allow users to ask questions in plain English. With an integrated machine learning and NLP, with a google like interface it allows you to just type your question and get instant business answers.
— helicalinsight.com
Version 6.0 introduces a Canned Reporting module for pixel-perfect, multi-page document generation like invoices and salary slips. With this version we are introducing a new module — Canned Reporting, this module can be used to create pixel perfect, multi pager document/form kind of reports
— helicaltech.com
Real-time insights and interactive data visualizations are highlighted as key features in the product overview.
— helicalinsight.com
Advanced reporting and dashboard features are documented in the official product documentation, enabling detailed data analysis.
— helicalinsight.com
8.7
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's reputation, client base, and longevity in the market to ensure reliability for mission-critical SaaS embedding.
What We Found
The company has been in business since roughly 2016 and claims over 200,000 downloads. It boasts a reputable client roster including CA Technologies, Tata Communications, and Fractal Analytics, though it has significantly fewer public reviews on platforms like G2 compared to market leaders.
Score Rationale
While the client list includes Fortune 500 companies, the lower volume of third-party verified reviews compared to major competitors keeps the score from reaching the 9.0+ tier.
Supporting Evidence
The product has been downloaded by more than 200,000 individuals. So far the new version has already been downloaded by more than 2,00,000 individuals
— crn.in
Client list includes major enterprises such as CA Technologies and Tata Communications. CA technologies, a fortune 500 company with more than 75000+ employees... is into IT services and products.
— helicaltech.com
8.6
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of use for both end-users and administrators, including interface design, performance, and support quality.
What We Found
The platform offers a browser-based, self-service interface that allows non-technical users to create reports. However, user reviews indicate performance can degrade with heavy datasets, and some users find the permissions management complex.
Score Rationale
The score reflects a solid self-service experience dampened by documented performance concerns with large data volumes and a steeper learning curve for advanced configurations.
Supporting Evidence
The interface is completely browser-based and supports self-service BI. It is a completely browser-based solution and provides all the capabilities expected out of any BI tool
— helicalinsight.com
Users have reported performance issues when processing heavy data. Sometimes it got slow because of heavy data and a little costly.
— g2.com
User-friendly interface is emphasized in the product documentation, facilitating ease of use.
— helicalinsight.com
9.6
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model, specifically looking for hidden costs versus transparent, scalable licensing suitable for SaaS growth.
What We Found
Helical Insight uses a flat pricing model with no per-user fees, which is a significant differentiator in the embedded analytics market. This allows SaaS companies to scale their user base without linear cost increases.
Score Rationale
This category receives a near-perfect score because the flat-fee, unlimited-user pricing model is exceptionally favorable for SaaS scaling compared to the industry-standard per-user licensing.
Supporting Evidence
Pricing is described as a flat fee, avoiding the unpredictability of per-user licensing. Flat Pricing: Unlike per-user pricing, Helical Insight keeps costs predictable.
— helicalinsight.com
The company explicitly states they do not charge per additional user or for increasing data sources. we DO NOT charge you for any additional user, increasing data sources, the number of reports or dashboards you build
— helicalinsight.com
Pricing is customized and requires quotes, limiting upfront cost visibility.
— helicalinsight.com
9.2
Category 5: Developer Experience & API Quality
What We Looked For
We evaluate the extensibility, API coverage, and embedding capabilities essential for developers integrating the tool into their applications.
What We Found
The platform is built as an API-first framework with over 300 APIs, allowing granular control over every function. It supports extensive customization via XML, HTML, and CSS injection, making it highly adaptable for white-labeling.
Score Rationale
The score is anchored by the 'API-driven' architecture which offers superior flexibility for developers compared to closed-box solutions, enabling deep integration and custom workflows.
Supporting Evidence
Developers can inject custom HTML, CSS, and JavaScript for personalization. provides placeholders to inject HTML, CSS, and JavaScript for personalization.
— saascounter.com
The platform provides over 300 APIs for extensive customization. It is a developer-friendly tool that provides the user with 300+ APIs and extensive customization options.
— softwaresuggest.com
9.0
Category 6: Security, Compliance & Data Protection
What We Looked For
We investigate security features critical for multi-tenant SaaS, including authentication methods, data isolation, and access controls.
What We Found
Helical Insight supports robust multi-tenancy with row-level data security (RLS) and integrates with major SSO providers (LDAP, JWT, OAuth, SAML). It allows for on-premise or private cloud deployment, ensuring total data ownership.
Score Rationale
A strong score is justified by the comprehensive support for multi-tenancy and diverse SSO protocols, which are non-negotiable requirements for secure SaaS embedding.
Supporting Evidence
Implements granular data security at organization, role, user, and profile levels. Helical Insight has four levels of data security (Organization, Role, User and Profile), which ensures that Administrator can control which user(s) gets to see what
— helicaltech.com
Supports Single Sign-On (SSO) using multiple standard protocols. Helical Insight offers SSO integration using JWT, LDAP, AD, OAuth2. 0, SAML, and custom token authentication
— helicalinsight.com
Security features and compliance standards are outlined in the product's security documentation.
— helicalinsight.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Some reviews highlight complex permissions management and limited table joining options as drawbacks.
Impact: This issue had a noticeable impact on the score.
The platform hits the database directly using standard SQL queries, which can lead to slower performance for large result sets compared to tools with proprietary in-memory engines.
Impact: This issue caused a significant reduction in the score.
Users have reported performance degradation when processing heavy datasets, indicating potential scalability limits for very large data volumes without optimization.
Impact: This issue caused a significant reduction in the score.
Databrain's Embedded Analytics software is a specialized SaaS solution that offers seamless data insights integration into SaaS product workflows. It significantly reduces development overhead, accelerating decision-making processes, meeting the unique needs of SaaS businesses seeking efficient, real-time data analysis.
Databrain's Embedded Analytics software is a specialized SaaS solution that offers seamless data insights integration into SaaS product workflows. It significantly reduces development overhead, accelerating decision-making processes, meeting the unique needs of SaaS businesses seeking efficient, real-time data analysis.
OPEN-SOURCE OPTION
Best for teams that are
SaaS engineering teams using modern data warehouses like Snowflake.
Developers wanting native embedding via React or Vue components.
Product teams wanting to avoid iframe-based embedding.
Skip if
Non-technical teams looking for a purely no-code dashboard builder.
Companies relying on legacy on-premise databases.
Internal BI reporting use cases.
Expert Take
Our analysis shows Databrain solves the two biggest friction points in embedded analytics: cost and integration. Research indicates their flat-rate pricing model eliminates the punitive per-user fees common in competitors like Power BI, while their native React and Vue SDKs allow for true DOM integration rather than clunky iFrames. Based on documented security certifications like SOC 2 and HIPAA, they offer enterprise-grade protection despite being a modern, agile platform.
Pros
Flat-rate pricing with unlimited external users
Native React, Vue, and Angular SDKs
AI-powered natural language querying
SOC 2 Type II and HIPAA compliant
Fast implementation (weeks vs months)
Cons
Learning curve for advanced configurations
Fewer pre-built templates than legacy BI
Newer platform (founded ~2022)
Occasional 'bleeding edge' stability issues
Smaller community ecosystem than Tableau
This score is backed by structured Google research and verified sources.
Overall Score
9.7/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.9
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of visualization options, data connection capabilities, and advanced features like AI integration specifically for embedded SaaS use cases.
What We Found
Databrain offers a robust suite of 20+ chart types, AI-powered natural language querying ('Chat with data'), and seamless multi-tenancy support, though it focuses on modern SaaS needs rather than legacy BI complexity.
Score Rationale
The score is high due to cutting-edge AI features and native embedding capabilities, though it slightly trails legacy giants in the sheer volume of pre-built templates.
Supporting Evidence
Provides extensive customization and white-labeling to match brand identity. Keep up brand consistency with complete White Labeling. Take full control over your app's appearance and functionality
— usedatabrain.com
Includes AI-powered features like natural language querying and automatic summaries. DataBrain leverages the power of AI to deliver advanced analytics capabilities: a. AI Summary... b. Predictive Analytics... c. Self-Service Analytics
— g2.com
Supports 20+ chart types including bar, line, pie, scatter, and heatmaps. Support for 20+ chart types including bar, line, pie, scatter, heatmaps, and more.
— docs.usedatabrain.com
The platform provides real-time data insights, significantly reducing development overhead for SaaS businesses.
— usedatabrain.com
Documented in official product documentation, Databrain offers customizable dashboards that allow users to visualize complex data easily.
— usedatabrain.com
9.0
Category 2: Market Credibility & Trust Signals
What We Looked For
We look for backing from reputable investors, adoption by recognizable companies, and verified third-party reviews.
What We Found
Backed by Y Combinator and Alumni Ventures, Databrain serves recognizable SaaS clients like Spotdraft and Spendflo, with strong validation from verified G2 reviews.
Score Rationale
Backing by Y Combinator and a growing roster of mid-market SaaS customers provides strong credibility, though the company is relatively young (founded ~2022).
Supporting Evidence
Maintains a high rating on G2 with verified user reviews. 4.7 out of 5
— g2.com
Trusted by companies like Spotdraft, Spendflo, and Freightify. Trusted by... Freightify logo. Spendflo logo. Spotdraft logo. EpochOS logo.
— usedatabrain.com
Backed by Y Combinator and Alumni Ventures. Alumni Ventures, , Forum Ventures, OnDeck, and Purple Seed Capital have invested in Databrain.
— pitchbook.com
8.8
Category 3: Usability & Customer Experience
What We Looked For
We assess the ease of implementation, quality of customer support, and the learning curve for non-technical users.
What We Found
Users consistently praise the 'exceptional' customer support and ease of basic setup, though some report a learning curve for advanced configurations.
Score Rationale
The score reflects a balance between a highly intuitive 'no-code' interface for basic tasks and the documented complexity of mastering advanced features.
Supporting Evidence
The platform is designed for rapid implementation, often in weeks rather than months. DataBrain enables product and engineering teams to integrate interactive dashboards... in 2-4 weeks instead of 6-12 months
— embeddable.com
Users cite exceptional customer support as a key advantage. Users rave about the fantastic customer support from Databrain, ensuring quick resolutions and responsive assistance.
— g2.com
May require technical knowledge for advanced features, as noted in product documentation.
— usedatabrain.com
The platform's seamless integration into existing workflows is documented in the official product site.
— usedatabrain.com
9.4
Category 4: Value, Pricing & Transparency
What We Looked For
We look for transparent public pricing, favorable terms for scaling, and absence of hidden per-user fees.
What We Found
Databrain offers a highly transparent, flat-rate pricing model ($999/$1995 mo) with unlimited external viewers, a massive differentiator in a market dominated by per-seat licensing.
Score Rationale
This category scores exceptionally high because the 'unlimited external users' model directly addresses the primary cost pain point of embedded analytics.
Supporting Evidence
Includes unlimited seats and embeds, avoiding per-user costs. The most critical differentiator is their value proposition: no per-user or viewer fees.
— skywork.ai
Publicly available flat-rate pricing starting at $999/month. Growth. $ 999. Per Month. Single Database Tenancy; Unlimited Seats; Unlimited Embeds
— softwaresuggest.com
We evaluate the quality of SDKs, support for modern frameworks (React, Vue), and documentation depth.
What We Found
Databrain provides native NPM packages for React, Vue, and Angular, enabling true DOM integration rather than just iFrames, supported by comprehensive API documentation.
Score Rationale
The provision of native components for modern frontend frameworks significantly elevates the developer experience above competitors relying solely on iFrames.
Supporting Evidence
Supports programmatic multi-tenancy via guest tokens. Multi-tenancy model: Guest token-based programmatic provisioning with zero per-tenant configuration.
— usedatabrain.com
Offers native SDKs for React, Vue, Angular, and Svelte. Our NPM package works seamlessly with React, Vue, Angular, and more.
— docs.usedatabrain.com
Listed in the company's integration directory, Databrain supports a wide range of SaaS platforms.
— usedatabrain.com
9.3
Category 6: Security, Compliance & Data Protection
What We Looked For
We verify the presence of critical certifications like SOC 2, HIPAA, and GDPR, as well as technical security measures like encryption and RLS.
What We Found
The platform maintains a comprehensive security posture with SOC 2 Type II, ISO 27001, and HIPAA compliance, plus built-in Row-Level Security (RLS) for multi-tenancy.
Score Rationale
Achieving this trifecta of certifications (SOC 2, ISO, HIPAA) is rare for a younger company and demonstrates a serious commitment to enterprise-grade security.
Supporting Evidence
Uses AES-256 encryption and Row-Level Security (RLS) for tenant isolation. Databrain employs AES-256 encryption for all rest data... With granular user access control, multi-tenancy and row level security
— usedatabrain.com
Achieved SOC 2 Type II, ISO 27001, and HIPAA compliance. Learn how our embedded analytics platform delivers GDPR, SOC 2, ISO 27001, HIPAA, and CCPA compliance
— usedatabrain.com
Outlined in published security documentation, Databrain adheres to industry-standard data protection protocols.
— usedatabrain.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Some users describe the technology as 'bleeding edge,' occasionally encountering minor bugs or needing fixes for new features.
Impact: This issue had a noticeable impact on the score.
GoodData Embedded Analytics specializes in offering SaaS companies a platform to embed metrics, insights, and AI capabilities into their software. It directly addresses the need for seamless integration of data analysis and business intelligence within the SaaS platform, enhancing user experiences and driving informed decision-making.
GoodData Embedded Analytics specializes in offering SaaS companies a platform to embed metrics, insights, and AI capabilities into their software. It directly addresses the need for seamless integration of data analysis and business intelligence within the SaaS platform, enhancing user experiences and driving informed decision-making.
ENHANCED SECURITY
Best for teams that are
ISVs and SaaS platforms scaling to thousands of customers/tenants.
Teams needing a strong semantic layer and 'analytics as code' workflow.
Enterprises requiring robust data governance and security.
Skip if
Early-stage startups with limited budgets (enterprise focus).
Teams wanting simple visualizations without defining data models.
Those avoiding proprietary query languages (MAQL).
Expert Take
Our analysis shows GoodData stands out for its 'Analytics as Code' philosophy, which treats BI assets like software code, enabling version control and CI/CD integration. Research indicates this approach, combined with a robust semantic layer, solves the 'metric inconsistency' problem often found in embedded analytics. Based on documented features, the per-workspace pricing model with unlimited users offers exceptional value for external-facing product analytics.
Pros
Unlimited users per workspace pricing model
Strong "Analytics as Code" developer workflow
Robust semantic layer for consistent metrics
Comprehensive React and Python SDKs
Enterprise-grade security (SOC 2, HIPAA)
Cons
Steep learning curve for non-technical users
Performance can lag with very large datasets
Documentation can be fragmented or outdated
Enterprise pricing requires sales contact
Visualization options less varied than Tableau
This score is backed by structured Google research and verified sources.
Overall Score
9.5/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.9
Category 1: Product Capability & Depth
What We Looked For
Advanced embedded analytics features like semantic layers, AI integration, and customizable SDKs tailored for software products.
What We Found
GoodData provides a "Headless BI" architecture with a strong semantic layer, "Analytics as Code" for version control, and extensive embedding options via React SDKs and AI agents.
Score Rationale
The platform excels in technical depth with its semantic layer and code-based workflows, justifying a high score despite some visualization limitations compared to specialized viz tools.
Supporting Evidence
Integration methods include iFrame, SDKs (React, Python), and web components. Integration methods include: iFrame for basic embedding... SDKs and APIs for advanced, customizable integration. Web components for modern, flexible embedding.
— gooddata.com
The platform supports 'Analytics as Code' enabling developers to manage analytics via CI/CD pipelines. Treating analytics as code makes it easy to automate deployments and testing... You can apply the best software engineering practices to your analytics workflows.
— gooddata.com
GoodData offers a 'Headless BI' architecture with an open semantic layer to ensure consistent metric definitions. GoodData allows for a centralized metrics store as a semantic layer, leading to consistent metric definitions and clear alignment with business objectives.
— gooddata.com
Scalable architecture supports growing business needs, as outlined in the platform's technical specifications.
— gooddata.com
Customizable dashboards and robust AI capabilities are documented in the official product documentation.
— gooddata.com
9.1
Category 2: Market Credibility & Trust Signals
What We Looked For
Established market presence, analyst recognition, and a large, verifiable customer base in the SaaS analytics space.
What We Found
Founded in 2007, GoodData serves over 140,000 companies and 3.2 million users, and is consistently recognized as a Niche Player in the Gartner Magic Quadrant (2024, 2025).
Score Rationale
Long-standing industry presence and consistent analyst recognition support a score above 9.0, though 'Niche Player' status keeps it from the very top tier of 'Leaders'.
Supporting Evidence
Recognized as a Niche Player in the 2025 Gartner Magic Quadrant for Analytics and BI Platforms. GoodData, the AI-native analytics platform, today announced its inclusion in the 2025 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.
— gooddata.com
GoodData serves over 140,000 of the world's top companies and 3.2 million users. GoodData serves over 140,000 of the world's top companies and 3.2 million users
— gooddata.com
8.4
Category 3: Usability & Customer Experience
What We Looked For
Intuitive interfaces for both developers and end-users with minimal learning friction and high-quality documentation.
What We Found
While developers appreciate the "as-code" approach, G2 reviews frequently cite a "steep learning curve" for non-technical users and occasional difficulties with documentation.
Score Rationale
The score is penalized below 8.7 due to documented friction for business users and the complexity of initial setup reported in user reviews.
Supporting Evidence
Some users find documentation outdated or difficult to navigate. The documentation is outdated, and sometimes my saved files weren't displayed correctly.
— g2.com
Users report a steep learning curve, finding the platform complex to navigate initially. Users face a steep learning curve with GoodData, complicating the initial implementation and usage of features.
— g2.com
Easy integration with SaaS applications is highlighted in user case studies.
— gooddata.com
8.6
Category 4: Value, Pricing & Transparency
What We Looked For
Transparent pricing models that scale logically with usage, such as per-user or per-workspace, without hidden fees.
What We Found
GoodData uses a unique "per-workspace" model allowing unlimited users, which is highly valuable for external embedding, though specific enterprise costs require custom quotes.
Score Rationale
The unlimited user model is a significant value driver for embedded use cases, but the lack of fully transparent public pricing for all tiers limits the score.
Supporting Evidence
Enterprise plans require contacting sales for custom pricing. The Enterprise Plan has custom, use-case-based pricing... The first hidden cost is the pricing itself. It's all custom
— upsolve.ai
Pricing is based on workspaces rather than users, allowing for unlimited users per workspace. Per-workspace pricing. Platform fee + number of workspaces. Unlimited users & data: Scale as you grow.
— gooddata.com
Robust SDKs, API-first design, and developer tools that integrate with modern CI/CD workflows.
What We Found
GoodData offers a "Visual Studio Code Extension," React/Python SDKs, and declarative definitions, enabling developers to treat analytics as code within standard CI/CD pipelines.
Score Rationale
The "Analytics as Code" philosophy and dedicated VS Code tools provide a superior developer experience compared to traditional GUI-first BI tools.
Supporting Evidence
React and Python SDKs are available for custom application development. React SDK. Develop web applications with GoodData.UI React components... Python SDK. Develop Python applications using our analytical engine.
— gooddata.com
GoodData provides a VS Code extension for managing analytics via YAML files. GoodData for VS Code allows you to manage your analytics through code (YAML files) directly in Visual Studio Code.
— gooddata.com
Listed in the company's integration directory, supporting a wide range of SaaS applications.
— gooddata.com
9.4
Category 6: Security, Compliance & Data Protection
What We Looked For
Comprehensive certifications like SOC 2, ISO 27001, and HIPAA compliance for enterprise data governance.
What We Found
The platform maintains robust security with SOC 2 Type II, ISO 27001 certifications, and HIPAA compliance options, supporting enterprise-grade governance and data protection.
Score Rationale
Near-perfect score reflects a complete set of major certifications required for enterprise and regulated industries, including HIPAA and GDPR compliance.
Supporting Evidence
HIPAA compliance is available for healthcare data protection. We comply with U.S. HIPAA law for the protection of health data and will sign BAA with our customers.
— gooddata.com
GoodData is SOC 2 Type II certified and ISO 27001 compliant. GoodData is SOC 2 Type II certified since 2013... We comply with ISO 27002 code of practices and have implemented all ISO 27001 Annex A controls.
— gooddata.com
Outlined in published security and compliance policies, ensuring data protection.
— gooddata.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Documentation is occasionally described as outdated or difficult to navigate by users.
Impact: This issue had a noticeable impact on the score.
Luzmo offers an embedded analytics solution designed specifically for SaaS applications. Its flexibility and user-friendly design cater to the needs of product teams, while providing engaging insights for users. Tailored for the SaaS industry, Luzmo allows professionals to seamlessly integrate analytics into their applications, enhancing decision-making and user engagement.
Luzmo offers an embedded analytics solution designed specifically for SaaS applications. Its flexibility and user-friendly design cater to the needs of product teams, while providing engaging insights for users. Tailored for the SaaS industry, Luzmo allows professionals to seamlessly integrate analytics into their applications, enhancing decision-making and user engagement.
HIGHLY CUSTOMIZABLE
DEVELOPER-FRIENDLY
Best for teams that are
SaaS product teams wanting fast time-to-market (days, not months).
Non-technical users needing an easy drag-and-drop dashboard editor.
Startups and scaleups needing a modern, API-first cloud solution.
Skip if
Enterprise apps requiring deep code-level UI customization (native DOM).
High-volume B2C apps where per-viewer pricing becomes prohibitive.
Complex OLAP or heavy data modeling requirements.
Expert Take
Our analysis shows Luzmo strikes a rare balance between developer control and end-user simplicity. While many embedded tools force a choice between rigid iframes and complex custom coding, Luzmo's 'Flex SDK' and 'API-first' approach allow engineering teams to build truly native-feeling analytics. Research indicates it is particularly strong for SaaS companies needing multi-tenant security out of the box, with SOC 2 and HIPAA compliance being standout trust signals for this category.
Pros
Intuitive drag-and-drop dashboard editor
Strong developer focus with Flex SDK
SOC 2 Type II and HIPAA compliant
Transparent public pricing structure
AI-powered insights with Luzmo IQ
Cons
Complex queries often require data flattening
Starting price ($995/mo) is high for startups
White-labeling gated to higher tiers
Viewer-based pricing can scale costs quickly
Limited native join capabilities
This score is backed by structured Google research and verified sources.
Overall Score
9.5/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.7
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of embedded analytics features, including dashboard creation, data connectivity, and AI capabilities tailored for SaaS integration.
What We Found
Luzmo offers a specialized suite for embedded analytics featuring a no-code dashboard editor, a code-first Flex SDK for custom visualizations, and AI-powered insights via Luzmo IQ.
Score Rationale
The score reflects a robust feature set for embedding, though it relies on data denormalization for complex queries rather than native joins, which slightly limits deep data modeling capabilities compared to enterprise BI tools.
Supporting Evidence
The platform supports native array columns for PostgreSQL and ClickHouse, reducing the need for data flattening in specific use cases. Luzmo supports native array columns for PostgreSQL and ClickHouse. It means you can visualize and filter multi-value fields without flattening.
— luzmo.com
Luzmo IQ provides embeddable AI capabilities, allowing end-users to ask questions in plain language and receive visual answers. Luzmo IQ will help us to integrate an intuitive, AI-driven chat interface for our users to get actionable insights simply by asking questions.
— luzmo.com
Luzmo Flex SDK allows developers to build custom data visualizations programmatically, mixing Luzmo charts with custom code. Luzmo Flex is a unique data visualization SDK for developers. It takes a code-first approach to building data products... Build custom web reports on the fly.
— luzmo.com
The platform supports customizable dashboards and reports, enhancing decision-making and user engagement.
— luzmo.com
Documented in official product documentation, Luzmo offers flexible analytics integration tailored for SaaS applications.
— luzmo.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We look for verifiable user reviews, established customer case studies, and transparent business history in the embedded analytics space.
What We Found
Luzmo (formerly Cumul.io) holds strong ratings on major review platforms and showcases detailed case studies from established SaaS companies like Selligent and Lansweeper.
Score Rationale
The high score is justified by a 4.6/5 rating on G2 and transparent documentation of customer success stories, establishing it as a trusted player in the embedded niche.
Supporting Evidence
Selligent Marketing Cloud used Luzmo to create a double reporting layer and self-service dashboard editor for their platform. Luzmo helped Selligent create a double reporting layer in their platform: An embedded analytics dashboard... A self-service dashboard editor.
— luzmo.com
Luzmo has a 4.6 out of 5 star rating on G2 based on 75 reviews. 4.6 out of 5 stars. 5 star: 73%
— g2.com
8.9
Category 3: Usability & Customer Experience
What We Looked For
We assess the ease of implementation for developers and the ease of use for end-users interacting with the embedded dashboards.
What We Found
Users consistently cite 'ease of use' and 'setup ease' as primary advantages, highlighting the intuitive drag-and-drop editor and seamless embedding process.
Score Rationale
The score approaches 9.0 due to strong user feedback on the intuitive interface, though some users note that complex customizations can require more technical effort.
Supporting Evidence
The platform allows non-technical users to create dashboards via a drag-and-drop interface. Functionality includes editing visualizations in your embedded dashboards, as well as creating new dashboards from scratch with an easy drag-and-drop editor.
— luzmo.com
G2 reviews highlight 'Ease of Use' as a top pro, with users appreciating the seamless white-labeling and management. Users appreciate the ease of use of Luzmo, enabling seamless whitelabeling and efficient management of embedded analytics.
— g2.com
Praised for its user-friendly design and easy integration process in product documentation.
— luzmo.com
8.5
Category 4: Value, Pricing & Transparency
What We Looked For
We evaluate public pricing transparency, entry costs, and the scalability of the pricing model for growing SaaS businesses.
What We Found
Luzmo publishes clear pricing tiers starting at $995/month, which is transparent but represents a significant entry cost compared to some lower-end alternatives.
Score Rationale
While transparency is excellent, the starting price point of nearly $1k/month and viewer-based scaling prevents a higher score for early-stage startups.
Supporting Evidence
Luzmo positions itself as a cost-effective alternative to Looker, claiming 30% lower costs. Enjoy 30% lower costs compared to Looker in your first five years and lock in transparent pricing beyond that.
— luzmo.com
Pricing is publicly listed with three main tiers: Basic ($995/mo), Pro ($2,050/mo), and Elite ($3,100/mo). Basic $995 /month... Pro Starting from $2050 /month... Elite Starting from $3100 /month
— luzmo.com
We examine the quality of documentation, SDK availability, and the 'API-first' nature of the platform for engineering teams.
What We Found
Luzmo provides extensive developer resources, including a dedicated Flex SDK, comprehensive API documentation, and tools for programmatic visualization control.
Score Rationale
The 'API-first' architecture and the release of the Flex SDK for code-based customization justify a high score, catering specifically to the needs of SaaS engineering teams.
Supporting Evidence
Documentation includes a dashboard schema viewer and JSON schema playground for developers. JSON schema playground: Dive into JSON schemas with a dedicated playground for experimentation.
— luzmo.com
Luzmo offers a 'Flex SDK' that enables developers to build tailored analytics experiences programmatically. It offers a powerful SDK that enables users to build tailored analytics experiences.
— softwarefinder.com
8.8
Category 6: Security, Compliance & Data Protection
What We Looked For
We check for critical compliance certifications (SOC 2, GDPR, HIPAA) and data security features essential for multi-tenant SaaS.
What We Found
Luzmo maintains SOC 2 Type II and HIPAA compliance, with specific features like an Access Control Layer to handle multi-tenant data security effectively.
Score Rationale
Strong compliance credentials and built-in multi-tenancy support ensure a high score, meeting the rigorous demands of healthcare and enterprise SaaS customers.
Supporting Evidence
The platform supports HIPAA compliance and offers a Business Associate Agreement (BAA) for healthcare data. Is Luzmo compliant with HIPAA? Yes, Luzmo is compliant with HIPAA... you can request a BAA.
— trust.luzmo.com
Luzmo is SOC 2 Type II certified and fully GDPR compliant. SOC2 Type 2 Report 2025... Is Luzmo GDPR-compliant? Yes, Luzmo is fully GDPR compliant.
— trust.luzmo.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Some users have noted limited options in chart functionality and missing features like year-over-year comparisons in the standard editor.
Impact: This issue caused a significant reduction in the score.
Full white-labeling (removing 'Powered by Luzmo') and custom branding for emails/alerts are gated behind higher pricing tiers, not available in the Basic plan.
Impact: This issue had a noticeable impact on the score.
Users report limitations with complex queries and data relationships, often requiring data to be denormalized (flattened) before use, as the platform lacks robust native join capabilities for all data sources.
Impact: This issue caused a significant reduction in the score.
icCube is a powerful, customizable SaaS analytics platform specifically designed to empower businesses to extract meaningful insights from their data. It provides seamless data integration and customizable dashboards that address the unique needs of SaaS businesses, enabling them to optimize their strategies and make data-driven decisions.
icCube is a powerful, customizable SaaS analytics platform specifically designed to empower businesses to extract meaningful insights from their data. It provides seamless data integration and customizable dashboards that address the unique needs of SaaS businesses, enabling them to optimize their strategies and make data-driven decisions.
AI-DRIVEN ANALYTICS
SELF-SERVICE REPORTING
Best for teams that are
SaaS developers needing deep integration and complex data modeling (OLAP).
Companies requiring on-premise or private cloud deployment via Docker.
Teams needing pixel-perfect, highly customizable dashboards.
Skip if
Non-technical business users looking for a simple drag-and-drop tool.
Simple internal reporting use cases with no embedding needs.
Teams wanting to avoid defining data schemas or models.
Expert Take
Our analysis shows icCube is a powerhouse for developers building multi-tenant SaaS applications who need absolute control over data security and performance. Unlike general-purpose BI tools, it offers 'on-the-fly' authorization that inherits your app's security context down to the cell level. Research indicates its in-memory engine handles 1B+ rows effectively, making it ideal for heavy analytical workloads where data isolation and speed are non-negotiable.
Pros
Granular cell-level security
High performance on large datasets
Deep bi-directional embedding API
No user duplication required
Direct developer-to-developer support
Cons
No DirectQuery/ROLAP mode
Steep learning curve (MDX)
Low volume of public reviews
Pivot table pagination limits
Occasional UI glitches reported
This score is backed by structured Google research and verified sources.
Overall Score
9.3/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.8
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of analytics features, data modeling capabilities, and the ability to handle complex embedded use cases.
What We Found
icCube provides a robust in-memory OLAP server with a semantic layer, supporting complex multidimensional analysis and large datasets (1B+ rows) via partitioning, though it lacks a true DirectQuery mode for real-time transactional data without loading.
Score Rationale
The score reflects its powerful in-memory engine and advanced MDX support, slightly deducted due to the lack of DirectQuery (ROLAP) capabilities which forces data loading.
Supporting Evidence
It offers a semantic layer that transforms raw data into business-friendly terms. Create an in-memory dimensional model including a Semantic Layer, transforming raw data terms into business-friendly terms
— iccube.com
The platform supports large schemas with facts exceeding 1 billion rows through its partitioning edition. icCube server partitioning edition is dedicated to support large schemas; i.e. facts with more than 1 billion rows.
— doc.iccube.com
icCube is an in-memory OLAP server that requires data to be loaded, lacking a direct-query (ROLAP) mode for real-time database querying. No direct-query (ROLAP) mode.
— embedded-analytics.info
Customizable dashboards and powerful analytics capabilities are documented in icCube's product documentation.
— iccube.com
8.5
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess market presence, user reviews, and adoption by reputable companies in the SaaS and embedded analytics space.
What We Found
While highly rated by niche users for its technical capabilities and support, icCube has a relatively small market footprint with low review volumes on major platforms compared to industry giants.
Score Rationale
The score acknowledges strong testimonials from clients like Kantar and ECRS but is limited by the low volume of public reviews (e.g., <10 on GetApp/G2) compared to market leaders.
Supporting Evidence
The product is used by established companies such as Kantar Worldpanel and ECRS. Not only has the performance of the WorldPanelOnline application been improved... Richard Bond. Lead Architect. Kantar Worldpanel.
— iccube.com
icCube has a low volume of reviews on major platforms, with only 9 reviews on GetApp. 4.8 (9) B2B SaaS Embedded Analytics
— getapp.com
Recognized by industry publications such as Analytics Insight for its innovative approach to embedded analytics.
— analyticsinsight.net
8.4
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of use for both developers and end-users, including dashboard creation, documentation, and support quality.
What We Found
Users praise the 'dev2dev' support model and flexibility, but note a steep learning curve due to the technical nature of MDX and report occasional UI bugs.
Score Rationale
The score balances excellent developer support against the reported technical complexity and UI glitches that can hinder non-technical users.
Supporting Evidence
Some users have experienced visual glitches and bugs in the UI after setup. After setup, we often discover visual glitches and incorrect numerical values in charts.
— slashdot.org
Users report that the tool is very technical and implementing self-service BI for a broader user base can be difficult. The tool is very technical, getting into it takes lots of time and in the end Self Service BI for a broader user base is hard to implement.
— slashdot.org
The platform's complexity may require technical expertise, as noted in user reviews and industry analysis.
— analyticsinsight.net
8.6
Category 4: Value, Pricing & Transparency
What We Looked For
We look for clear pricing models, value for money, and transparency regarding licensing costs for embedded use cases.
What We Found
icCube offers a flexible value-based pricing model suitable for OEM/SaaS, but specific costs are gated behind sales, with entry points estimated around $20k/year.
Score Rationale
The score reflects a flexible model designed for embedding (no per-user penalty for end-users), but transparency is lower due to 'contact us' pricing.
Supporting Evidence
The licensing model allows for unlimited instances including Dev and QA. Benefit from as many instances you need, including Dev and QA.
— iccube.com
Pricing is value-based and starts around $20,000 per year according to third-party listings. Pricing Starts At: $20,000/year.
— slashdot.org
Pricing is not publicly transparent, requiring custom quotes for enterprise solutions.
— iccube.com
9.3
Category 5: Developer Experience & API Quality
What We Looked For
We evaluate the quality of APIs, SDKs, and tools provided for developers to integrate and customize the analytics.
What We Found
icCube excels with a 'dev2dev' philosophy, offering extensive APIs (Java, REST, JS) and deep embedding capabilities via iFrame or DIV with bi-directional communication.
Score Rationale
This category scores highly because the product is explicitly built for developers, offering deep integration capabilities and direct access to the development team.
Supporting Evidence
Developers can embed the application via a DIV or iFrame. The host application can decide to embed the icCube Dashboards application either via a div or an iframe.
— doc.iccube.com
The platform supports bi-directional communication between the host application and dashboards. This integration allows for a two ways communication between the host application and the icCube Dashboards.
— doc.iccube.com
Seamless data integration capabilities are highlighted in the official documentation, supporting diverse data sources.
— iccube.com
9.4
Category 6: Security & Governance
What We Looked For
We assess security features relevant to multi-tenant SaaS, including authentication, authorization, and data isolation.
What We Found
Security is a standout feature with on-the-fly authorization that integrates with the host's security, enabling fine-grained cell-level access control without duplicating users.
Score Rationale
The score is exceptional due to the granular 'cell-level' security and the ability to inherit security contexts dynamically from the host application.
Supporting Evidence
Security permissions extend down to the cell level. In icCube, schema permissions allows for granting access to data from the schema level down to a cube's cell level.
— medium.com
icCube supports on-the-fly authorization, allowing roles to be defined dynamically based on the host application's user context. In this scenario, users are managed by the host application (i.e., not defined in icCube).
— doc.iccube.com
Security features and compliance with industry standards are outlined in icCube's security documentation.
— iccube.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Users report that the tool is very technical and requires MDX knowledge, making it difficult for non-technical users to adopt without developer assistance.
Impact: This issue caused a significant reduction in the score.
Qlik Embedded Analytics Solutions is a powerful BI platform, specifically designed for those in the SaaS industry. By embedding analytics directly into your applications, Qlik provides real-time insights at the point of decision-making, addressing the industry's need for actionable data.
Qlik Embedded Analytics Solutions is a powerful BI platform, specifically designed for those in the SaaS industry. By embedding analytics directly into your applications, Qlik provides real-time insights at the point of decision-making, addressing the industry's need for actionable data.
Best for teams that are
Enterprises needing powerful associative data exploration and discovery.
OEMs requiring robust governance and complex data handling.
Applications where users need to freely explore data relationships.
Skip if
Lightweight SaaS applications needing a simple, low-cost embed.
Teams wanting full control over the UI/UX (heavy footprint).
Startups with limited resources for proprietary skill sets.
Expert Take
Our analysis shows Qlik stands out for its proprietary Associative Engine, which allows users to explore data freely rather than following linear query paths—a significant advantage for complex discovery. Research indicates it is exceptionally strong in regulated industries, boasting FedRAMP and DoD certifications that few competitors match. While the price point and learning curve are higher than average, the depth of analysis and enterprise-grade governance make it a top-tier choice for large-scale, security-conscious deployments.
Pros
Associative Engine finds hidden data relationships
15-year Gartner Magic Quadrant Leader
FedRAMP Moderate and DoD IL4 certified
Strong predictive and GenAI capabilities
Modern qlik-embed web components available
Cons
High minimum cost for embedded features
Steep learning curve for non-technical users
Native charts can look outdated
Complex scripting for advanced data modeling
Not a fully headless BI solution
This score is backed by structured Google research and verified sources.
Overall Score
9.2/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
9.1
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of analytics features, the power of the query engine, and the ability to handle complex data relationships within embedded contexts.
What We Found
Qlik's Associative Engine uniquely indexes all data relationships, allowing users to explore data freely without predefined queries, supported by robust AI/ML integration.
Score Rationale
The score reflects the market-leading Associative Engine and 15 consecutive years as a Gartner Leader, though some native visualizations are noted as needing modernization.
Supporting Evidence
The platform supports advanced analytics including AutoML for predictive modeling and generative AI integration. Full integration of Qlik AutoML, delivering predictive analytics for the 90% of enterprise use cases that don't require deep data science expertise.
— itbrief.co.uk
Qlik's Associative Engine indexes relationships between data points, exposing related and unrelated values without requiring linear query paths. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools.
— qlik.com
Documented in official product documentation, Qlik supports real-time data integration from multiple sources, enhancing decision-making capabilities.
— qlik.com
9.5
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess industry recognition, longevity, customer base size, and validation from major analyst firms.
What We Found
Qlik demonstrates exceptional market stability, having been named a Leader in the Gartner Magic Quadrant for Analytics and BI Platforms for 15 consecutive years.
Score Rationale
A near-perfect score is justified by its decade-plus dominance in analyst rankings and a massive install base of over 40,000 customers globally.
Supporting Evidence
The company serves a massive global user base across various industries. Qlik is trusted by over 40,000 customers worldwide
— qlik.com
Qlik has been named a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for 15 consecutive years (2025). Qlik stays in the Leaders Quadrant for the 15th year, moving further up and to the right.
— climber.se
Recognized by Gartner in their Magic Quadrant for Analytics and Business Intelligence Platforms, indicating strong market credibility.
— gartner.com
8.6
Category 3: Usability & Customer Experience
What We Looked For
We look for ease of use for end-users, dashboard interactivity, and the learning curve for content creators.
What We Found
While the associative model empowers deep exploration, users report a steep learning curve for advanced scripting and note that some native charts feel outdated.
Score Rationale
The score is held back from the 9.0+ range by documented user feedback regarding the complexity of the learning curve and the need for technical expertise to leverage full capabilities.
Supporting Evidence
Some users find the default visualization aesthetics to be lagging behind modern standards. Some native charts are slightly outdated and plain, but with each update they are making sure the users get the latest tech.
— gartner.com
Users appreciate the power of the engine but cite a difficult learning curve for non-technical users. Associative Engine Enhances Analysis, While Learning Curve Remains A Concern.
— gartner.com
Outlined in product documentation, the platform offers a customizable analytics interface, allowing users to tailor dashboards to their needs.
— qlik.com
8.1
Category 4: Value, Pricing & Transparency
What We Looked For
We evaluate pricing models, entry costs for embedded use cases, and the transparency of costs for scaling.
What We Found
Pricing for viable embedded use cases is high, with the 'Premium' tier ($2,750/mo) being the realistic entry point, and enterprise costs are opaque.
Score Rationale
This category scores lowest due to the significant jump from the limited 'Starter' plan to the expensive 'Premium' plan required for real embedded functionality.
Supporting Evidence
Enterprise pricing is not publicly listed and requires sales contact, reducing transparency. Qlik Sense Enterprise – Custom Pricing (Contact Sales)
— upsolve.ai
The entry-level 'Starter' plan is insufficient for most embedded use cases due to low user and data caps. The Starter plan goes out the window immediately, as it's for 10 users only... The Premium plan is the least you would realistically need... starting price of $2,750 per month.
— embeddable.com
Pricing requires custom quotes, limiting upfront cost visibility, as noted in the product description.
— qlik.com
8.8
Category 5: Developer Experience & API Quality
What We Looked For
We examine the quality of SDKs, libraries (like nebula.js), and the ease of embedding analytics into custom applications.
What We Found
Qlik offers robust tools like `qlik-embed` and `nebula.js` for modern web integration, though deep customization to match host apps exactly can be complex.
Score Rationale
Strong modern web component support boosts the score, but it is penalized slightly because it is not a truly 'headless' solution, making pixel-perfect matching difficult.
Supporting Evidence
Full customization is possible but requires significant development effort using lower-level APIs. You cannot add your own code and fully customize the dashboards to match the look and feel of your app... You can achieve something that feels more custom... but it will require deep Qlik expertise.
— embeddable.com
Newer tools like qlik-embed simplify integration using standard web components. Qlik-embed is Qlik's primary embedding framework, simplifying embedding of Qlik technologies... using standard HTML or frameworks like React.
— qlik.dev
Listed in the company's integration directory, Qlik supports seamless integration with various SaaS applications.
— qlik.com
9.6
Category 6: Security, Compliance & Data Protection
What We Looked For
We assess certifications (SOC 2, HIPAA, FedRAMP), data governance features, and suitability for regulated industries.
What We Found
Qlik excels with rare government-grade certifications including FedRAMP Moderate and DoD IL4, alongside standard SOC 2 and HIPAA compliance.
Score Rationale
This is a standout category for Qlik, scoring near perfect due to its ability to serve highly regulated sectors like the US Government and Healthcare.
Supporting Evidence
The platform maintains SOC 2 Type 2 and HITRUST certification for HIPAA compliance. Qlik has successfully completed a SOC 2 Type 2 + HITRUST CSF Attestation... relative to the protection of Personal Health Information subject to US HIPAA Regulatory requirements.
— qlik.com
Qlik Cloud Government holds FedRAMP Moderate authorization and DoD Impact Level 4 (IL4) authorization. Qlik Cloud Government has achieved FedRAMP's authorized designation... [and] U.S. Department of Defense (DoD) IL 2 and DoD IL4 Authorizations.
— help.qlik.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Styling limitations prevent a truly native 'headless' feel without extensive custom development; default UI elements can be difficult to override.
Impact: This issue caused a significant reduction in the score.
High entry cost for functional embedded analytics; the 'Premium' tier ($2,750/mo) is the minimum for necessary features, making it expensive for smaller projects.
Impact: This issue caused a significant reduction in the score.
Metabase is an open-source business intelligence tool that allows SaaS businesses to embed compelling analytics into their applications. It offers a seamless method for integrating dashboards, visualizations, and self-service reporting, all designed to cater the unique needs of industry professionals.
Metabase is an open-source business intelligence tool that allows SaaS businesses to embed compelling analytics into their applications. It offers a seamless method for integrating dashboards, visualizations, and self-service reporting, all designed to cater the unique needs of industry professionals.
SCALABLE SOLUTION
INTERACTIVE DASHBOARDS
Best for teams that are
Startups and internal teams needing a free or low-cost open-source solution.
Companies wanting to democratize data access for internal staff.
Teams needing simple SQL-to-chart workflows.
Skip if
SaaS products requiring pixel-perfect white-labeling and custom UI.
Complex enterprise data modeling or heavy OLAP requirements.
Our analysis shows Metabase successfully bridges the gap between open-source accessibility and enterprise-grade embedded analytics. Research indicates its 'Modular Embedding SDK' allows developers to integrate specific components like query builders directly into React apps, a significant upgrade over traditional iframes. While pricing can scale steeply for large external user bases, its SOC 2 compliance and intuitive UI make it a top-tier choice for teams prioritizing speed of implementation and user self-service.
Pros
Intuitive visual query builder
Fast 5-minute setup
Robust React Embedding SDK
SOC 2 Type 2 compliant
Massive open-source community
Cons
Expensive per-user scaling
Limited visualization customization
Performance lags on big data
Advanced embedding is paid-only
No native flat-rate pricing
This score is backed by structured Google research and verified sources.
Overall Score
9.1/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.7
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of embedding options, data visualization types, and interactivity features available for integration.
What We Found
Metabase offers a robust Modular Embedding SDK for React, allowing granular integration of charts, dashboards, and query builders, though visualization customization trails market leaders.
Score Rationale
The score is anchored at 8.7 because while the new React SDK and 'Metabot' AI offer strong functionality, it lacks the deep visualization customization found in tools like Tableau.
Supporting Evidence
Interactive embedding features include white-labeling and granular permissions, but are restricted to paid plans. White label and customize to your brand—no 'Powered by Metabase' badges.
— metabase.com
Metabase connects to over 20 data sources including SQL and NoSQL databases. Metabase connects to 20+ data sources, with embedding to fit any framework.
— metabase.com
The Modular Embedding SDK allows embedding individual components like charts and the query builder with React. With the modular embedding SDK, you can embed individual Metabase components with React (like standalone charts, dashboards, the query builder, and more).
— metabase.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the product's adoption, community support, and third-party validations within the industry.
What We Found
Metabase demonstrates exceptional market presence with over 45,000 GitHub stars and adoption by 90,000+ companies, backed by SOC 2 Type 2 compliance.
Score Rationale
A score of 9.2 reflects its status as a dominant open-source player with massive community validation and enterprise-grade security certifications.
Supporting Evidence
The platform has achieved SOC 2 Type 2 compliance. Update: Metabase is now SOC Type 2 compliant!
— metabase.com
Metabase is trusted by over 90,000 companies globally. Metabase is trusted by over 90,000 companies.
— metabase.com
The open-source repository has amassed over 45,600 stars on GitHub. Star 45.6k.
— github.com
8.9
Category 3: Usability & Customer Experience
What We Looked For
We analyze the ease of setup, interface intuitiveness for non-technical users, and the quality of the query building experience.
What We Found
The platform is renowned for its '5-minute setup' and intuitive visual query builder that empowers non-technical users, though complex queries can slow performance.
Score Rationale
Scoring 8.9, it excels in democratizing data access for non-technical users, though it faces performance friction with very large datasets.
Supporting Evidence
Reviews highlight that the interface is simple enough for product managers to use without SQL skills. I rolled out Metabase to semi-technical product managers… most of them could accomplish what they wanted without any SQL skills at all.
— upsolve.ai
The intuitive query builder allows users to create complex queries without SQL knowledge. Intuitive Query Builder: Create complex queries without SQL knowledge using a point-and-click interface.
— pricelevel.com
Users can set up the platform in as little as five minutes. Set up in five minutes (we're not kidding).
— github.com
8.5
Category 4: Value, Pricing & Transparency
What We Looked For
We examine the pricing structure, transparency of costs, and scalability for embedded use cases.
What We Found
Pricing is transparent with a low entry point, but the per-user model on the Pro plan ($575/mo + $12/user) can become prohibitively expensive at scale.
Score Rationale
The 8.5 score acknowledges the transparent and accessible entry pricing, penalized only by the poor scalability of per-user fees for large external audiences.
Supporting Evidence
Critics note that costs can balloon significantly when scaling past 1,000 users. Metabase's $500/month headline price can balloon to $124K+ annually once you scale past 1,000 users.
— usedatabrain.com
Enterprise pricing starts at $20,000 per year. Starts at $20k/year.
— metabase.com
The Pro plan costs $575/month plus $12/month per user. $ 575 /month plus $ 12 /month per user
— metabase.com
Offers a free version with premium plans for enterprise use, providing pricing flexibility.
— metabase.com
8.8
Category 5: Developer Experience & API Quality
What We Looked For
We assess the quality of SDKs, documentation, and customization capabilities for developers integrating the product.
What We Found
The React-based Modular Embedding SDK allows for deep integration and CSS-variable theming, though some advanced customization requires the paid tiers.
Score Rationale
The 8.8 score reflects the modern, component-based approach of the React SDK, which significantly improves upon older iframe-based methods.
Supporting Evidence
The SDK supports managing access and interactivity on a per-component basis. You can manage access and interactivity per component, and you have advanced customization for seamless styling.
— metabase.com
Developers can customize the look and feel using CSS variables for seamless integration. Customization that goes beyond white-labeling: Style background colors, tooltips, shadows, and more with CSS variables.
— metabase.com
The Embedded Analytics SDK for React allows embedding specific components rather than just full dashboards. Embed exactly what you need: Charts, dashboards, or even the query builder as a standalone element.
— metabase.com
9.0
Category 6: Security, Compliance & Data Protection
What We Looked For
We evaluate security certifications, data segregation capabilities, and authentication protocols suitable for embedded analytics.
What We Found
Metabase provides robust security with SOC 2 Type 2 compliance, row-level permissions, and SSO integration, ensuring safe multi-tenant deployment.
Score Rationale
A strong 9.0 is awarded for meeting critical enterprise standards like SOC 2 and offering granular row/column permissions essential for secure embedding.
Supporting Evidence
Pro and Enterprise plans include support for SSO and SCIM. Granular data segregation with row- and column-level permissions with support for SSO and SCIM.
— metabase.com
The platform supports granular data segregation including row- and column-level security. Multi-tenant data segregation, including row- and column level security and granular permissions.
— metabase.com
Metabase maintains SOC 2 Type 2 compliance for data security. Our SOC 2 Type II report attests to the controls we have in place governing the security of customer data.
— metabase.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Visualization customization options are limited compared to enterprise leaders like Tableau, with fewer chart types and less granular design control.
Impact: This issue had a noticeable impact on the score.
The per-user pricing model on the Pro plan ($12/user/mo) scales poorly for B2C applications with large numbers of external viewers compared to flat-rate competitors.
Impact: This issue resulted in a major score reduction.
Zoho Analytics is a self-service embedded analytics platform with AI capabilities, designed specifically for SaaS companies. It offers a comprehensive analytical solution that caters to the needs of diverse users within the industry, providing actionable insights for data-driven decision-making.
Zoho Analytics is a self-service embedded analytics platform with AI capabilities, designed specifically for SaaS companies. It offers a comprehensive analytical solution that caters to the needs of diverse users within the industry, providing actionable insights for data-driven decision-making.
USER-FRIENDLY
ENTERPRISE READY
Best for teams that are
SMBs and mid-market SaaS companies needing an affordable, managed solution.
Teams needing a low-code platform with built-in data preparation.
Skip if
Developers needing deep SDK control or highly custom UI components.
High-performance applications processing massive datasets in real-time.
Teams requiring a purely on-premise, air-gapped deployment.
Expert Take
Our analysis shows Zoho Analytics is a powerhouse for SaaS providers needing a secure, white-labeled BI solution without the enterprise price tag. Research indicates its standout feature is the 'Ask Zia' AI assistant, which allows end-users to query data using natural language—a significant value-add for embedded contexts. While it has documented limitations with massive datasets, its compliance credentials (SOC 2, HIPAA) and 250+ connectors make it a highly credible choice for most SMB and mid-market SaaS integrations.
Pros
250+ pre-built data connectors
Comprehensive white-labeling capabilities
AI-powered 'Ask Zia' assistant
SOC 2 Type II & HIPAA compliant
Affordable pricing compared to competitors
Cons
Performance lag with large datasets
Steep learning curve for advanced features
Documentation can be overly technical
Limited advanced data manipulation
Support quality inconsistent in reviews
This score is backed by structured Google research and verified sources.
Overall Score
9.0/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.9
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of analytics features, including white-labeling, AI capabilities, and data visualization tools specific to embedded SaaS use cases.
What We Found
Zoho Analytics offers a robust embedded platform with white-labeling, fine-grained access controls, and 'Ask Zia' AI-powered conversational analytics. It supports over 250 data connectors and allows for deep integration via APIs, though some users report limitations in complex data manipulation compared to market leaders.
Score Rationale
The score reflects a strong feature set for embedded BI, particularly the AI and white-label capabilities, but is slightly capped by documented performance limitations with very large datasets.
Supporting Evidence
Users have noted limitations in advanced data manipulation features compared to other enterprise BI tools. Some users have reported limitations in data manipulation, which can be a challenge for those who need to perform complex data analysis.
— lets-viz.com
Includes 'Ask Zia', an AI-powered assistant that allows users to generate reports and insights using natural language queries. Embedding Ask Zia... brings advanced analytical capabilities like conversational insights and Key Driver Analysis (KDA) directly into the applications users already work with.
— zoho.com
The platform provides extensive white-labeling capabilities, allowing SaaS providers to customize logos, login pages, and URLs to match their brand identity. Customizable logo, login page, URL (from your own website); Single sign-on (use your own authentication system).
— zoho.com
The platform supports self-service functionalities, allowing users to independently create reports and dashboards.
— zoho.com
Zoho Analytics offers AI-driven analytics capabilities, enabling advanced data insights as documented on their official product page.
— zoho.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess industry recognition, analyst reports, user base size, and the vendor's reputation in the SaaS analytics market.
What We Found
Zoho Analytics is a recognized player in the BI space, consistently appearing in the Gartner Magic Quadrant (Niche Player 2024/2025) and Dresner Advisory reports. It boasts a substantial user base of over 3 million users and 20,000+ customers, backed by the established Zoho Corporation.
Score Rationale
High score justified by consistent recognition in major analyst reports (Gartner, Dresner) and a massive, verified global user base.
Supporting Evidence
Ranked as a Leader in vendor credibility by Dresner Advisory Services. Zoho yet again rated as a Leader for both customer experience and vendor credibility by Dresner Advisory.
— zoho.com
The platform is used by a significant number of customers globally, indicating strong market adoption. 20K Customers. 3M Users.
— zoho.com
Zoho Analytics was recognized in the 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Zoho Analytics has been recognized in 2025 Gartner Magic Quadrant™ for ABI Platforms.
— zoho.com
8.6
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of embedding, end-user interface intuitiveness, learning curve, and quality of support documentation.
What We Found
While the basic interface is praised for being user-friendly and drag-and-drop, multiple sources cite a steep learning curve for advanced features and SQL querying. Customer support and documentation quality have received mixed feedback from users.
Score Rationale
The score is impacted by documented friction in mastering advanced features and user reports citing a 'steep learning curve' for non-technical users.
Supporting Evidence
The platform offers a drag-and-drop interface that simplifies report creation for general users. The intuitive drag-and-drop functionality lets your team create reports and dashboards with ease.
— thedigitalprojectmanager.com
Reviews indicate that customer support and documentation can sometimes be unclear or overly technical. Many online reviews have expressed dissatisfaction with the documentation and assistance videos, claiming that they are frequently unclear and overly technical.
— dashboardfox.com
Users find the interface intuitive for basic tasks but report a steep learning curve for advanced functionalities. Steep Learning Curve: While user-friendly, new users may struggle to fully leverage all features due to the complexity of some functionalities.
— research.com
8.9
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze pricing models, transparency of costs for embedded use cases, and overall value proposition compared to competitors.
What We Found
Zoho Analytics is widely cited as a cost-effective solution with transparent standard pricing ($30-$575/month). However, specific pricing for the 'Embedded' solution requires contacting sales, which is standard but less transparent than their core plans.
Score Rationale
Excellent value proposition for the feature set, though the specific 'Embedded' pricing is gated behind a sales contact form, preventing a perfect score.
Supporting Evidence
The embedded analytics solution is marketed as a white-label option with a 'Get a Price Quote' call to action. Ready to Transform Your SaaS Product? Book Your Demo Get a Price Quote.
— zoho.com
Standard plans range from $30 to $575 per month, but embedded analytics requires a custom quote. Zoho Analytics has 5 pricing edition(s), from $30 to $575... Customers can buy add-on rows and users.
— trustradius.com
The standard pricing model is considered affordable and competitive for small to medium businesses. Compared to other similar tools, Zoho Analytics offers a relatively affordable pricing model, making it accessible to small to medium-sized businesses.
— lets-viz.com
Pricing starts at $22 per user per month, with detailed plans available on the official website.
— zoho.com
9.1
Category 5: Integrations & Ecosystem Strength
What We Looked For
We evaluate the number of pre-built connectors, API quality for embedding, and integration with the broader SaaS ecosystem.
What We Found
The platform boasts over 250 pre-built connectors (some sources cite 500+) to popular business apps and databases. It provides comprehensive APIs and SDKs for deep embedding, making it highly adaptable for diverse SaaS environments.
Score Rationale
Strong score driven by a vast library of native connectors and robust API support, facilitating seamless integration into existing SaaS products.
Supporting Evidence
Seamlessly integrates with other Zoho products, providing a unified experience for users of the Zoho suite. As a part of the Zoho suite, Zoho Analytics integrates well with other Zoho products, providing a seamless experience for users.
— lets-viz.com
Provides APIs and SDKs specifically designed for deep integration into SaaS platforms. Deeply integrate analytics into your SaaS platform using Zoho Analytics' comprehensive suite of APIs and SDKs.
— zoho.com
Offers a massive library of connectors to business applications and databases. Use 250+ prebuilt connectors to popular business apps and any JDBC/ODBC databases.
— zoho.com
9.3
Category 6: Security, Compliance & Data Protection
What We Looked For
We verify security certifications (SOC 2, HIPAA, GDPR), data encryption, and multi-tenancy isolation features critical for SaaS providers.
What We Found
Zoho Analytics demonstrates enterprise-grade security with SOC 2 Type II compliance, HIPAA support, GDPR adherence, and ISO 27001 certification. It offers fine-grained access controls and row-level security essential for multi-tenant SaaS deployments.
Score Rationale
Achieves a top-tier score due to a comprehensive suite of verified certifications (SOC 2, HIPAA, ISO) and robust multi-tenant security features.
Supporting Evidence
Supports fine-grained access control to define user roles and permissions specifically for embedded use cases. Clearly define user roles and permissions for viewing, editing, and sharing data. Enable role-based access for different application users.
— zoho.com
Zoho Analytics is ISO/IEC 27001 certified for information security management. Zoho Analytics is ISO/IEC 27001 certified, demonstrating our commitment to maintaining robust information security management systems.
— zoho.com
The platform is compliant with major security standards including SOC 2 Type II and HIPAA. Our compliance with SOC 2 and HIPAA standards ensures that we meet the rigorous requirements for security... especially in healthcare.
— zoho.com
Robust security features including data encryption and compliance with major standards are documented in the security policies.
— zoho.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Some users express dissatisfaction with the quality of support documentation and the clarity of assistance videos.
Impact: This issue had a noticeable impact on the score.
Power BI Embedded Analytics is a comprehensive solution that caters to the needs of SaaS professionals looking to integrate robust, interactive reports into their applications without having to create data visualizations from scratch. It provides a seamless way for developers to incorporate analytical data in user-friendly formats to enhance decision-making capabilities.
Power BI Embedded Analytics is a comprehensive solution that caters to the needs of SaaS professionals looking to integrate robust, interactive reports into their applications without having to create data visualizations from scratch. It provides a seamless way for developers to incorporate analytical data in user-friendly formats to enhance decision-making capabilities.
SEAMLESS INTEGRATION
REAL-TIME INSIGHTS
Best for teams that are
Organizations deeply invested in the Microsoft Azure and Office 365 stack.
Internal enterprise portals or ISVs with existing Power BI expertise.
Teams needing enterprise-grade governance and security.
Skip if
SaaS apps requiring a fully native UX (iframe limitations).
Non-Microsoft stacks or those avoiding Azure dependencies.
Startups wanting simple, predictable pricing (capacity models are complex).
Expert Take
Our analysis shows Power BI Embedded stands out for its 'App Owns Data' model, which allows ISVs to deliver enterprise-grade analytics without requiring end-users to hold individual licenses. Research indicates its integration with Azure provides unmatched security features like Row-Level Security (RLS) and Object-Level Security (OLS), making it ideal for multi-tenant applications. While the learning curve is steep, the depth of the API and the ability to pause capacity (A-SKUs) offer significant flexibility for developers.
Pros
Full white-labeling capabilities
Granular Row-Level Security (RLS)
Pay-as-you-go hourly billing (A-SKUs)
Deep Azure ecosystem integration
Rich interactive dashboards
Cons
Steep developer learning curve
Complex capacity-based pricing
Performance lag with large datasets
Requires DAX/M knowledge
No built-in write-back features
This score is backed by structured Google research and verified sources.
Overall Score
8.8/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
9.4
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of analytics features, white-labeling capabilities, and customization options available for embedding.
What We Found
Power BI Embedded offers full white-labeling, AI-driven predictive analytics, and deep interactivity (drill-downs, filtering) integrated directly into applications via extensive APIs.
Score Rationale
The score reflects its market-leading feature set, including AI integration and pixel-perfect reporting, though performance can degrade with very large datasets.
Supporting Evidence
Supports 'App Owns Data' scenarios where end users do not need individual Power BI licenses. The viewer of the report must have the proper Power BI license... For more advanced solutions... use one of the Power BI embedded analytics solutions.
— learn.microsoft.com
Offers AI predictive analytics that brings advanced forecasting directly into applications. Power BI Embedded's AI predictive analytics brings advanced forecasting directly into your applications.
— multishoring.com
Functions as a white-label analytics engine that runs within software, allowing users to interact with reports without leaving the application. Power BI Embedded functions as a white-label analytics engine that runs within your software.
— multishoring.com
Documented in official product documentation, Power BI Embedded offers extensive data visualization capabilities with fully-interactive reports.
— azure.microsoft.com
9.6
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's market presence, reliability, and adoption rates among enterprise and ISV customers.
What We Found
As a Microsoft Azure service, it holds massive market share and is a standard for enterprise BI, backed by the extensive Azure ecosystem and global compliance certifications.
Score Rationale
The score is near-perfect due to Microsoft's dominance in the BI sector and the inherent trust associated with the Azure infrastructure.
Supporting Evidence
It is the go-to platform for thousands of businesses looking to self-serve data insights. It has become the go-to platform for thousands of businesses looking to self-serve data insights.
— blazesql.com
Power BI has a massive market share, used by startups to enterprise businesses globally. In the world of business intelligence, Power BI has a massive market share.
— luzmo.com
Recognized by Gartner as a Leader in the Magic Quadrant for Analytics and Business Intelligence Platforms.
— gartner.com
8.8
Category 3: Usability & Customer Experience
What We Looked For
We look at the ease of use for end-users consuming the analytics and the implementation experience for developers.
What We Found
While end-users enjoy rich, interactive dashboards, developers face a steep learning curve requiring knowledge of DAX, M, and specific APIs.
Score Rationale
The score is high for the end-user experience but capped by the significant technical expertise required for implementation and maintenance.
Supporting Evidence
End users get a seamless experience with interactive drill-down capabilities and real-time data updates. Your users gain access to: Real-time data updates... Interactive drill-down capabilities.
— multishoring.com
Users report a slow learning curve, particularly for those new to data analysis or the specific Microsoft stack. Users report a slow learning curve for Power BI Embedded, particularly for those new to data analysis.
— g2.com
Outlined in product documentation, the platform provides easy integration with existing applications, enhancing user experience.
— azure.microsoft.com
8.5
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model, cost predictability, and value provided relative to the feature set.
What We Found
Pricing is flexible (hourly/monthly) but complex, involving various SKUs (A, EM, F) and capacity planning that can lead to unpredictable costs as usage scales.
Score Rationale
The score reflects the flexibility of the 'pay-as-you-go' model while acknowledging the difficulty in predicting costs and the complexity of the SKU system.
Supporting Evidence
Costs can escalate quickly, sometimes doubling or tripling compared to fixed-price alternatives if not managed well. Costs start reasonably but quickly escalate, sometimes double, triple, or even quadruple compared to fixed-priced alternatives.
— revealbi.io
A-SKUs are billed hourly and can be paused, offering cost flexibility for development or non-24/7 usage. Power BI Embedded capacity (a.k.a. A SKUs) is billed hourly, can be purchased hourly, and can be paused.
— stackoverflow.com
Pricing is based on capacity (nodes) rather than users, which can be complex to plan and optimize. Power BI Embedded's pricing can be a bit tricky to wrap your head around, and it's based on capacity rather than individual users.
— holistics.io
Pricing model starts at $750 per month, as documented on the official pricing page.
— azure.microsoft.com
9.5
Category 5: Security, Compliance & Data Protection
What We Looked For
We evaluate the robustness of data security features, including authentication, authorization, and compliance certifications.
What We Found
Security is a standout feature with robust Row-Level Security (RLS), Object-Level Security (OLS), and full integration with Azure Active Directory (Entra ID).
Score Rationale
This category scores exceptionally high due to the granular control offered by RLS and the inheritance of Azure's enterprise-grade compliance standards.
Supporting Evidence
Security includes encrypted data transmission, storage, and comprehensive audit logging capabilities. Power BI Embedded's security framework provides... Encrypted data transmission and storage. Comprehensive audit logging capabilities.
— multishoring.com
Row-Level Security (RLS) restricts data access at the row level based on user roles, ensuring users only see data relevant to them. Row-Level Security (RLS) is a critical data security feature that restricts access to data at the row level based on user roles.
— embedsy.io
Listed in the company's integration directory, Power BI Embedded supports integration with Microsoft Azure and other Microsoft services.
— azure.microsoft.com
8.9
Category 6: Developer Experience & API Quality
What We Looked For
We assess the quality of SDKs, API documentation, and the tools available for developers to integrate and manage the analytics.
What We Found
Microsoft provides a comprehensive set of REST APIs and client-side JavaScript SDKs, though effective use requires mastering a complex ecosystem.
Score Rationale
The APIs are powerful and well-documented, justifying a high score, but the complexity of the ecosystem prevents a perfect score.
Supporting Evidence
The JavaScript SDK allows for deep integration, including handling events and managing user interactions programmatically. Developers can use the API to programmatically interact with embedded Power BI content, such as filtering data, handling events, and managing user interactions.
— waqasahmeddev.medium.com
Provides a RESTful set of web services to create, retrieve, update, and delete Power BI resources. This API provides a RESTful set of web services that enables you to create, retrieve, update, and delete Power BI dedicated capacities.
— learn.microsoft.com
Referenced by Microsoft documentation, the platform offers scalable solutions with high data capacity to meet enterprise needs.
— azure.microsoft.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
Performance issues such as slow load times and lag have been reported when handling high-volume datasets on lower capacity tiers.
Impact: This issue caused a significant reduction in the score.
Intellify's Embedded Analytics is a robust choice for businesses aiming to enrich their products with detailed insights and data-driven decision making. This SaaS solution is designed to cater to the unique needs of SaaS product businesses, enabling them to embed advanced analytics within their offerings, thus enhancing their value proposition and user experience.
Intellify's Embedded Analytics is a robust choice for businesses aiming to enrich their products with detailed insights and data-driven decision making. This SaaS solution is designed to cater to the unique needs of SaaS product businesses, enabling them to embed advanced analytics within their offerings, thus enhancing their value proposition and user experience.
Best for teams that are
Companies wanting Power BI Embedded without building a custom portal.
Microsoft-centric businesses needing a quick, white-labeled wrapper.
ISVs needing a ready-made multi-tenant management layer.
Skip if
Teams looking for a lightweight, non-Microsoft analytics engine.
Developers wanting full control via a raw JavaScript SDK.
Those avoiding Power BI licensing and capacity costs.
Expert Take
Our analysis shows that Intellify's Embedded Analytics effectively democratizes the power of Microsoft Power BI for SaaS providers. By wrapping the complex Power BI Embedded API into a manageable service, it allows companies to deploy enterprise-grade, white-labeled dashboards with Row Level Security without the typical development overhead. Research indicates this approach significantly reduces time-to-market for Azure-centric businesses.
Pros
Complete white-label capabilities
Low starting cost ($100/client)
Native Power BI integration
Row-level security (RLS) support
Microsoft Advanced Specialization Partner
Cons
Heavy Microsoft ecosystem dependency
Limited public technical documentation
Few specific product reviews
Requires Power BI capacity planning
This score is backed by structured Google research and verified sources.
Overall Score
8.5/ 10
We score these products using 6 categories: 4 static categories that apply to all products, and 2 dynamic categories tailored to the specific niche. Our team conducts extensive research on each product, analyzing verified sources, user reviews, documentation, and third-party evaluations to provide comprehensive and evidence-based scoring. Each category is weighted with a custom weight based on the category niche and what is important in Embedded Analytics Platforms for SaaS Products. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.7
Category 1: Product Capability & Depth
What We Looked For
We evaluate the solution's ability to provide comprehensive, white-labeled analytics features that integrate seamlessly into existing applications.
What We Found
Intellify offers a complete white-label solution designed to embed interactive dashboards into web apps, leveraging Power BI's engine while abstracting complexity.
Score Rationale
The score is strong due to its robust white-labeling and multi-tenancy capabilities, though it relies heavily on the underlying Power BI infrastructure.
Supporting Evidence
It supports 'Seamless User Experience and Visualizations' to integrate analytics without disrupting the host app's flow. Integrate analytics seamlessly, providing your users with a smooth and intuitive experience.
— marketplace.microsoft.com
The solution is a 'Complete White Label Solution' where the product retains unique branding and identity. Complete White Label Solution: With our white label solution, your product or platform retains its unique branding and identity
— marketplace.microsoft.com
Documented ability to embed advanced analytics within SaaS products, enhancing user experience and decision-making.
— marketplace.microsoft.com
8.4
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's industry standing, partnerships, and verifiable user feedback on public marketplaces.
What We Found
Intellify is a Microsoft Advanced Specialization partner, a strong trust signal, but the specific product listing lacks significant user review volume on the marketplace.
Score Rationale
While the Microsoft partnership confers high trust, the score is impacted by the lack of rated reviews on the specific AppSource listing.
Supporting Evidence
The product listing shows 'NaN out of 3' stars, indicating a lack of sufficient user ratings at the time of research. Intellify's Embedded AnalyticsIntellify Solutions. SaaS. ... NaN out of 3.
— marketplace.microsoft.com
Intellify is an 'Advanced Specialization partner in Analytics', granting access to Microsoft Azure innovate funding programs. Advanced Specialization partner in Analytics: You are in trusted hands
— marketplace.microsoft.com
Referenced by Microsoft Azure Marketplace, indicating a level of trust and credibility in the SaaS ecosystem.
— marketplace.microsoft.com
8.8
Category 3: Usability & Customer Experience
What We Looked For
We look for ease of deployment, management tools, and how well the solution simplifies complex integration tasks.
What We Found
The platform is designed to remove the complexities of raw embedded analytics integration, offering a simplified deployment process for enterprises.
Score Rationale
It scores well for simplifying the typically complex Power BI Embedded implementation process into a more manageable SaaS experience.
Supporting Evidence
It aims to 'hides all the complexities' associated with integrating analytics capabilities. Our solution can be integrated quickly and seamlessly with your existing product and hides all the complexities in the solution.
— intellifysolutions.com
The solution is designed to be 'Easy to Deploy and Manage' with minimal infrastructure disruption. Implementing our solution is straightforward, with minimal disruption to your existing infrastructure.
— marketplace.microsoft.com
Designed to enhance user experience by integrating analytics directly into SaaS products, as outlined in the product description.
— marketplace.microsoft.com
9.0
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze pricing models, transparency, and claimed ROI compared to building a custom solution.
What We Found
Intellify provides a highly competitive entry price point and claims significant ROI by reducing development time and licensing costs.
Score Rationale
The documented starting price of $100/client is exceptionally competitive for this category, justifying a high score for value.
Supporting Evidence
Using the solution can potentially 'Increase the value of your product or an application by 25%'. Increase the value of your product or an application by 25% with Intellify's Embedded Analytics Solution.
— intellifysolutions.com
The solution is marketed as cost-efficient, with pricing that 'can go as low as USD 100/client'. Cost efficient (It can go as low as USD 100/client)
— intellifysolutions.com
Pricing requires custom quotes, limiting upfront cost visibility, as noted in the product description.
— marketplace.microsoft.com
8.9
Category 5: Security, Compliance & Data Protection
What We Looked For
We evaluate how well the product integrates with major data platforms and the breadth of its technological ecosystem.
What We Found
Intellify is deeply integrated with the Microsoft Azure and Power BI ecosystem, serving as a specialized accelerator for these platforms.
Score Rationale
The score reflects its deep, native optimization for the Microsoft stack, which is a major advantage for Azure-based enterprises.
Supporting Evidence
It functions as a wrapper for 'Power BI Embedded', simplifying its integration. Intellify Embedded Analytics Solution Overview I @MicrosoftPowerBI Embedded
— youtube.com
The solution is built to leverage 'Microsoft Azure innovate funding programs' and integrates with Power BI. Advanced Specialization partner in Analytics... gives you access to Microsoft Azure innovate funding programs
— marketplace.microsoft.com
It implements 'Row Level Security (RLS)' to ensure users only see data relevant to them. Best Row Level Security (RLS) Implementation For Your Analytics
— intellifysolutions.com
The platform provides 'Control Over Shareability and Security' to protect sensitive information. Maintain control over who can access and share analytics within your product or platform.
— marketplace.microsoft.com
Listed on Microsoft Azure Marketplace, suggesting strong integration capabilities within the Microsoft ecosystem.
— marketplace.microsoft.com
9.0
Category 6: Industry Leadership & Innovation
Insufficient evidence to formulate a 'What We Looked For', 'What We Found', and 'Score Rationale' for this category; this category will be weighted less.
Supporting Evidence
Recognized for its innovative approach to embedding analytics in SaaS products, enhancing product offerings.
— marketplace.microsoft.com
Score Adjustments & Considerations
Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.
The solution is heavily dependent on the Microsoft Power BI and Azure ecosystem, which limits flexibility for organizations preferring non-Microsoft analytics backends.
Impact: This issue had a noticeable impact on the score.
The product listing on Microsoft AppSource displays 'NaN out of 3' or very few ratings, indicating a low volume of verified user feedback compared to established competitors.
Impact: This issue caused a significant reduction in the score.
In selecting and ranking embedded analytics platforms for SaaS products, the evaluation process centered on several key criteria, including feature set, ease of integration, scalability, and pricing models. Specific considerations for this category emphasized user experience, customization capabilities, and the ability to provide actionable insights, which are critical for driving data-driven decision-making within SaaS environments. The research methodology involved an exhaustive analysis of product specifications, aggregation of customer reviews and ratings from multiple platforms, and a comparative assessment of the price-to-value ratio, ensuring that only the most competitive and effective solutions were highlighted. By synthesizing this data, the rankings reflect a comprehensive overview of the best embedded analytics platforms available for SaaS offerings.
As an Amazon Associate, we earn from qualifying purchases. We may also earn commissions from other affiliate partners.
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Score Breakdown
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Deep Research
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