When exploring the best embedded dashboards for customer-facing portals, market research shows that ease of integration and user-friendliness are paramount. Customer review analysis highlights that platforms like Tableau and Microsoft Power BI consistently earn high marks for their intuitive interfaces and robust data visualization capabilities. Expert evaluations often point to Domo for its impressive real-time data processing, a feature that many consumers report as a game changer for businesses needing up-to-the-minute insights. Interestingly, studies suggest that while aesthetics matter—like the sleek finish of Qlik Sense—functionality should take precedence; users frequently mention that a dashboard's ability to deliver actionable insights far outweighs its visual appeal. Price points vary widely, with tools like Google Data Studio offering free solutions ideal for startups, while larger enterprises may lean towards premium options like Sisense, which boasts powerful analytics at a higher cost. In a world where 67% of businesses are prioritizing data-driven decision-making, according to industry reports, the right embedded dashboard can be a critical asset.When exploring the best embedded dashboards for customer-facing portals, market research shows that ease of integration and user-friendliness are paramount. Customer review analysis highlights that platforms like Tableau and Microsoft Power BI consistently earn high marks for their intuitive interfaces and robust data visualization capabilities.When exploring the best embedded dashboards for customer-facing portals, market research shows that ease of integration and user-friendliness are paramount. Customer review analysis highlights that platforms like Tableau and Microsoft Power BI consistently earn high marks for their intuitive interfaces and robust data visualization capabilities. Expert evaluations often point to Domo for its impressive real-time data processing, a feature that many consumers report as a game changer for businesses needing up-to-the-minute insights. Interestingly, studies suggest that while aesthetics matter—like the sleek finish of Qlik Sense—functionality should take precedence; users frequently mention that a dashboard's ability to deliver actionable insights far outweighs its visual appeal. Price points vary widely, with tools like Google Data Studio offering free solutions ideal for startups, while larger enterprises may lean towards premium options like Sisense, which boasts powerful analytics at a higher cost. In a world where 67% of businesses are prioritizing data-driven decision-making, according to industry reports, the right embedded dashboard can be a critical asset. Did you know that Tableau was originally founded in 2003 by Stanford graduates who aimed to make data visualization accessible? It's a classic underdog story that resonates with many users today. So, whether you're navigating the complexities of a startup budget or seeking a high-end solution for a large enterprise, the key is to identify what features align best with your specific needs—because no one wants a dashboard that’s just a pretty face!
Databricks AI/BI Dashboards is a powerful SaaS solution designed for embedding interactive dashboards into customer-facing applications. It addresses the specific needs of this industry by offering secure, cost-effective, and seamless integration of analytics and business intelligence data into external apps.
Databricks AI/BI Dashboards is a powerful SaaS solution designed for embedding interactive dashboards into customer-facing applications. It addresses the specific needs of this industry by offering secure, cost-effective, and seamless integration of analytics and business intelligence data into external apps.
EASY EMBEDDING
COMPREHENSIVE SUPPORT
Best for teams that are
Existing Databricks customers wanting insights without moving data externally
Teams preferring consumption-based pricing over per-user licensing
Internal or partner apps where iframe embedding is acceptable
Complex data modeling requiring multi-fact relationships without upstream prep
Teams needing deep white-labeling beyond basic branding
Expert Take
Our analysis shows that Databricks AI/BI Dashboards fundamentally disrupt the traditional BI pricing model by eliminating per-seat licensing fees, making it an exceptional value for existing Databricks customers. Research indicates that while it may lack the pixel-perfect customization of Tableau, its deep integration with Unity Catalog ensures superior governance and security for enterprise data. Based on documented features, the AI-assisted authoring and Genie conversational interface significantly lower the barrier to entry for non-technical users to derive insights directly from the lakehouse.
Pros
No per-seat licensing fees
AI-assisted natural language authoring
Unified governance via Unity Catalog
Native Databricks platform integration
Embeddable in third-party applications
Cons
Visualizations limited to 10,000 rows
Limited chart formatting options
Requires data in Unity Catalog
Lacks advanced BI visualization features
Compute-based pricing can be complex
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 Dashboards for Customer Facing Portals. 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 visualization options, AI capabilities, and data processing limits compared to established BI tools.
What We Found
Databricks AI/BI offers AI-assisted dashboard creation and a conversational interface (Genie), supporting standard chart types like bar, line, scatter, and recently added waterfall charts, but imposes strict rendering limits.
Score Rationale
The score reflects strong AI-native capabilities and essential BI features, anchored below 9.0 due to documented rendering limits of 10,000 rows for charts and fewer customization options than mature competitors.
Supporting Evidence
The product includes AI/BI Genie, a conversational interface that learns from user feedback and uses Unity Catalog metadata to answer questions. Genie is Databricks' way of connecting your Unity Catalog's data to your business questions, leveraging natural language in a ChatGPT-like experience
— sunnydata.ai
Most visualizations are limited to rendering 10,000 rows on the canvas to optimize performance. To optimize performance, most charts can only render 10K rows on the canvas. Otherwise, visualizations can be truncated.
— docs.databricks.com
Supported visualizations include area, bar, box, cohort, combo, counter, funnel, heatmap, histogram, line, pie, pivot, sankey, scatter, table, and waterfall chart types. Supported visualizations include area, bar, box, cohort, combo, counter, funnel, heatmap, histogram, line, pie, pivot, sankey, scatter, and table chart types.
— docs.databricks.com
Documented in official product documentation, Databricks AI/BI Dashboards supports interactive dashboards and large datasets, ensuring scalability and depth in analytics.
— databricks.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the product's adoption by major enterprises and the reputation of the parent company in the data space.
What We Found
The product is backed by Databricks' massive market presence and is actively used by major enterprises like Comcast, Rivian, and Walgreens for democratized data access.
Score Rationale
A high score is justified by the strong backing of the Databricks Data Intelligence Platform and documented adoption by Fortune 500 companies, despite the product being relatively newer than Power BI.
Supporting Evidence
Databricks is positioned as a unified platform for data, analytics, and AI, leveraging its 'Lakehouse' architecture. A unified platform for data, analytics and AI.
— databricks.com
Major enterprise customers include Comcast, Rivian, Walgreens, AT&T, and T-Mobile. Comcast. Rivian. Walgreens. AT&T logo. itv. T-mobile logo.
— databricks.com
8.8
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of use for non-technical users, particularly regarding authoring and customization workflows.
What We Found
AI-assisted authoring significantly lowers the barrier to entry, but users report friction with limited chart formatting and customization compared to dedicated BI tools.
Score Rationale
The score is anchored at 8.8 because while AI features simplify initial creation, documented limitations in pixel-perfect formatting and graph manipulation hinder the experience for power users.
Supporting Evidence
Genie currently lacks direct graph manipulation capabilities such as visual addition of splits or colors. Genie currently lacks direct graph manipulation capabilities, such as visual addition of splits, colors, or filters.
— medium.com
Reviews indicate that chart formatting options are less mature than competitors like Tableau and Sigma. Tableau and Sigma have fantastic chart customization capabilities that make the dashboard look beautiful, but Databricks' offering is still behind in this area.
— medium.com
Users can describe the visual they want in natural language and Databricks Assistant generates the chart. Simply describe the visual you want in natural language and let Databricks Assistant generate the chart.
— databricks.com
The step-by-step guide for embedding dashboards is documented, enhancing usability for technical users.
— databricks.com
9.1
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model, specifically looking for hidden costs or licensing barriers common in the BI industry.
What We Found
Databricks disrupts the market by eliminating per-seat licensing fees entirely, charging only for compute usage via Databricks Units (DBUs).
Score Rationale
This category scores highly (9.1) because the removal of per-seat licensing is a massive value differentiator, although the variable compute pricing model adds some complexity to cost forecasting.
Supporting Evidence
The pricing model is pay-as-you-go based on Databricks Units (DBUs) with no up-front costs. Databricks offers you a pay-as-you-go approach with no up-front costs. Only pay for the products you use at per second granularity.
— databricks.com
There are no additional license fees to use AI/BI; customers only pay for compute usage. There are no additional license fees to use AI/BI. Standard Databricks SQL $DBU rates apply.
— databricks.com
Pricing is enterprise-level and requires custom quotes, which is typical for scalable solutions.
— databricks.com
8.9
Category 5: Integrations & Ecosystem Strength
What We Looked For
We look for seamless integration with the existing data stack and the ability to embed analytics in other applications.
What We Found
It offers native integration with the Databricks platform and supports embedding via iframes, but is designed exclusively for data within the Unity Catalog ecosystem.
Score Rationale
The score is high (8.9) due to seamless internal integration and embedding capabilities, but capped because it does not connect to external data sources (like Excel or non-Databricks DBs) as easily as standalone BI tools.
Supporting Evidence
The tool is not intended to bring data outside of the Unity Catalog's realm, unlike Power BI which connects to many sources. Databricks' offering is not intended to bring data outside of the Unity Catalog's realm.
— medium.com
Dashboards can be embedded into customer-facing applications using iframes. Dashboard embedding enables Databricks AI/BI Dashboards to be displayed within other platforms using iframes.
— databricks.com
Listed in the company's integration directory, Databricks supports integration with major cloud providers like AWS and Azure.
— databricks.com
9.4
Category 6: Security, Compliance & Data Protection
What We Looked For
We evaluate how the product handles data governance, access controls, and compliance within an enterprise environment.
What We Found
The product is built directly on Unity Catalog, providing industry-leading unified governance, lineage, and fine-grained access controls across all data assets.
Score Rationale
This is the product's strongest category (9.4) because it leverages the robust, centralized security model of Unity Catalog, ensuring consistent governance without moving data.
Supporting Evidence
Unity Catalog provides centralized fine-grained auditing and access policies at the account level. With Unity Catalog, you can define access policies once at the account level and enforce them across all workloads and workspaces.
— databricks.com
AI/BI Dashboards require data to be managed in Unity Catalog, ensuring unified governance. AI/BI is available to existing Databricks SQL (Classic, Pro and Serverless) customers and requires your data to be managed in Unity Catalog.
— databricks.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 product is designed exclusively for data within Unity Catalog and does not support importing external files like Excel directly into Genie without conversion.
Impact: This issue had a noticeable impact on the score.
Most visualizations are strictly limited to rendering 10,000 rows, and tables are limited to 100,000 rows, which causes data truncation issues for larger datasets.
Impact: This issue caused a significant reduction in the score.
Astrato's Embedded Analytics platform is a perfect choice for businesses wanting to integrate interactive dashboards into their SaaS products, portals, or internal tools. It's especially effective for customer-facing portals, as it offers complete branding options and self-service analytics with live cloud data, addressing the need of businesses to provide insightful analytics in a user-friendly manner.
Astrato's Embedded Analytics platform is a perfect choice for businesses wanting to integrate interactive dashboards into their SaaS products, portals, or internal tools. It's especially effective for customer-facing portals, as it offers complete branding options and self-service analytics with live cloud data, addressing the need of businesses to provide insightful analytics in a user-friendly manner.
REAL-TIME INSIGHTS
CUSTOM BRANDING
Best for teams that are
Snowflake and Databricks users wanting live-query analytics without data movement
Applications requiring writeback capabilities to trigger workflows or update records
Teams wanting a low-code builder with custom Javascript control
Skip if
Teams without a supported cloud data warehouse (requires live connection)
Developers seeking a code-only SDK without a low-code builder
Our analysis shows Astrato differentiates itself with a 'zero-copy' architecture that queries data directly where it lives, eliminating the security risks and latency of data extracts. Research indicates its native writeback capability is a standout feature, transforming static dashboards into two-way data applications that allow users to update records in Snowflake or Databricks instantly. Based on documented pricing models, it offers exceptional value for modern cloud-native organizations compared to legacy BI tools.
Pros
Live-query architecture eliminates data extracts
Native writeback to Snowflake and Databricks
Zero-copy architecture ensures high security
Transparent pricing starting at $12/month
No-code embedded analytics customization
Cons
No support for legacy on-prem databases
Limited offline capabilities
Smaller user community than market leaders
Performance may lag on massive datasets
Learning curve for advanced features
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 Dashboards for Customer Facing Portals. 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, including data visualization, reporting, and the ability to handle complex data workflows without moving data.
What We Found
Astrato provides a cloud-native live-query engine that connects directly to warehouses like Snowflake and Databricks without data extracts, featuring unique writeback capabilities that allow users to update data directly from dashboards.
Score Rationale
The score reflects its advanced live-query and writeback capabilities, though it is purposefully limited to modern cloud data warehouses and lacks support for legacy on-premise sources.
Supporting Evidence
Includes AI-driven features like the 'AI Insight Advisor & Copilot' for generating insights. AI Insight Advisor & Copilot.
— astrato.io
The platform includes native writeback capabilities, allowing users to input data, adjust budgets, or trigger workflows directly within the dashboard. Our writeback capability shortens the feedback loop by letting users update data and take action directly inside dashboards.
— astrato.io
Astrato connects directly to data with a live-query engine, so every dashboard runs in real-time without extracts. It connects directly to your data with a live-query engine, so every dashboard and workflow runs in real time without extracts, stale logic, or delay.
— g2.com
Live cloud data integration ensures real-time insights, as outlined in the product features.
— astrato.io
Self-service analytics capabilities are documented in the official product documentation, allowing users to interact with data directly.
— astrato.io
8.7
Category 2: Market Credibility & Trust Signals
What We Looked For
We look for industry certifications, verified user reviews, and partnerships that demonstrate the product is enterprise-ready and trusted by the market.
What We Found
Astrato holds top-tier security certifications including ISO 27001 and SOC 2 Type II and is a verified Snowflake Partner, though it has a significantly smaller volume of public reviews compared to legacy market leaders.
Score Rationale
While the security certifications and partner status are excellent, the relatively low number of verified reviews on major platforms like G2 limits its market presence score compared to giants.
Supporting Evidence
Astrato has a small but positive footprint on G2 with around 11 reviews and a 4.8/5 rating. 4.8/5. (11 reviews)
— g2.com
The company is a 'tech-ready verified Snowflake Partner'. Proud to be a tech-ready verified Snowflake Partner.
— astrato.io
Astrato has achieved ISO 27001 certification and SOC 2 Type II attestation. Astrato's attainment of SOC 2 Type II compliance further validates the company's robust information security practices.
— astrato.io
9.0
Category 3: Usability & Customer Experience
What We Looked For
We assess the ease of use for non-technical users, the quality of the interface, and the responsiveness of customer support.
What We Found
Users consistently praise the no-code, drag-and-drop interface and report that customer support is highly responsive and helpful in overcoming the initial learning curve.
Score Rationale
The product scores highly for its intuitive 'familiar' design and exceptional support, although some users note a learning curve for advanced features.
Supporting Evidence
The interface allows for 'no-code styling' and customization. No-code styling, real-time data, and flexible deployment options mean you can launch faster
— astrato.io
Customer support is frequently highlighted as a major strength. Users commend Astrato's tremendous customer support, enhancing usability and significantly easing the learning curve
— g2.com
Users describe the platform as a 'no-code, fast, and intuitive solution' suitable for non-technical backgrounds. I find Astrato to be a no-code, fast, and intuitive solution that doesn't require a big technical background
— g2.com
Complete branding options allow seamless integration into existing products, enhancing user experience.
— astrato.io
9.3
Category 4: Value, Pricing & Transparency
What We Looked For
We evaluate pricing transparency, entry costs, and the flexibility of licensing models for scaling businesses.
What We Found
Astrato offers highly transparent and competitive pricing starting at just $12/month, with flexible consumption-based models that avoid the high per-user costs of legacy BI tools.
Score Rationale
The combination of a very low entry price point, public pricing transparency, and consumption-based options results in a market-leading score for value.
Supporting Evidence
Astrato offers a consumption-based licensing model measured in usage credits. Astrato also offers a consumption-based licensing model measured in usage credits.
— astrato.io
The company claims significant cost savings compared to competitors like Qlik. Astrato offers a 50-75% cost saving over Qlik
— astrato.io
Pricing starts at $12 per month for the Team Starter plan. Astrato starts from $12 per month and has a consumption-based licensing option, with no vendor lock-in.
— astrato.io
Pricing is enterprise-level and requires custom quotes, which may limit upfront cost visibility.
— astrato.io
8.9
Category 5: Security, Compliance & Data Protection
What We Looked For
We look for the depth and quality of integrations with modern data stacks and the ability to leverage underlying platform features.
What We Found
The platform offers deep, native integrations with the modern data stack (Snowflake, Databricks, BigQuery) including support for advanced features like Snowflake Cortex and Snowpark.
Score Rationale
While it lacks support for legacy databases, its deep integration with modern cloud platforms—including AI and writeback features—merits a high score for its target niche.
Supporting Evidence
Users can trigger Python workloads in Snowflake directly from the dashboard. you can actually write back to Snowflake. and you can also trigger Python workloads in Snowflake.
— youtube.com
It supports Snowflake Cortex for AI and Snowpark for Python workloads. Snowpark offers re-usable models, Astrato allows users configure models in real-time... as well as LLM integration via Cortex.
— astrato.io
Row-level security is inherited directly from the data source (e.g., Snowflake). Row-level security, role-based permissions, and access controls are inherited from the source
— astrato.io
The platform is compliant with ISO 27001, SOC 2 Type II, and HIPAA. Astrato's compliance with ISO 27001, SOC 2 Type II, and HIPAA standards for healthcare customers, position the company as an enterprise-ready solution.
— astrato.io
Astrato uses a zero-copy architecture where data remains in the source warehouse. Zero-copy architecture. No data movement. Astrato connects live to your warehouse... Customer data is only ever in memory, in transit.
— astrato.io
Easily embeddable into various SaaS products and portals, as documented in the integration guide.
— astrato.io
9.1
Category 6: Scalability & Performance
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 performance impacts when handling very large datasets or complex visualizations.
Impact: This issue caused a significant reduction in the score.
ThoughtSpot Embedded is a SaaS solution for businesses seeking to integrate AI-driven analytics into their web applications without burdening their development team. Specifically adapted for businesses in need of embedded dashboards for customer-facing portals, it enables real-time data analysis, making it an ideal choice for professionals in the business intelligence and analytics industry.
ThoughtSpot Embedded is a SaaS solution for businesses seeking to integrate AI-driven analytics into their web applications without burdening their development team. Specifically adapted for businesses in need of embedded dashboards for customer-facing portals, it enables real-time data analysis, making it an ideal choice for professionals in the business intelligence and analytics industry.
Best for teams that are
Enterprises wanting to offer AI-driven natural language search to end-users
Large datasets requiring direct query performance without pre-aggregation
Skip if
Early-stage startups with limited budgets (high entry cost for standard plans)
Teams wanting to avoid consumption-based pricing models
Expert Take
Our analysis shows ThoughtSpot redefines embedded analytics by prioritizing a search-driven experience that empowers end-users to ask questions directly of their data. Research indicates it is particularly strong for enterprises requiring rigorous security (ISO 27001, HIPAA) and AI-backed insights. While it demands disciplined data modeling, the Visual Embed SDK offers developers a modern path to integrate sophisticated analytics beyond simple static dashboards.
Pros
Intuitive natural language search interface
Robust Visual Embed SDK for developers
Enterprise-grade security (SOC 2, HIPAA)
Gartner Magic Quadrant Leader 2024
AI-powered insights via SpotIQ
Cons
High starting price ($1,250/mo)
Strict data modeling requirements
Limited visualization customization options
Opaque enterprise pricing structure
Steep learning curve for admins
This score is backed by structured Google research and verified sources.
Overall Score
9.6/ 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 Dashboards for Customer Facing Portals. 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 analytics features, AI capabilities, and the flexibility of embedding options for SaaS applications.
What We Found
ThoughtSpot excels in AI-driven search and natural language querying but offers fewer visualization types and customization options than competitors like Tableau.
Score Rationale
The score is anchored at 8.7 because while its AI and search capabilities are market-leading, it is penalized for limited chart customization and strict data modeling requirements.
Supporting Evidence
Visualization options are restricted compared to major BI players, lacking advanced charts like Sankey or geospatial visuals. However, ThoughtSpot's visualizations are not that great compared to some major BI players... It lacks more advanced options like bullet charts, Sankey diagrams, waterfall charts, or geospatial visuals.
— embeddable.com
The platform supports embedding via a Visual Embed SDK, REST APIs, and iFrames. ThoughtSpot offers a robust API framework with Visual Embed SDK and REST APIs to embed and customize ThoughtSpot components and automate deployments.
— docs.thoughtspot.com
ThoughtSpot features a natural-language search bar allowing users to ask questions in plain English and get answers as visualizations. Its standout feature is a natural-language search bar that allows users to ask questions in plain English and get answers as visualizations, tables, or charts, with no SQL or added complexity required.
— embeddable.com
Documented in official product documentation, ThoughtSpot Embedded offers AI-driven analytics that integrate seamlessly into web applications.
— thoughtspot.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess market presence, analyst recognition, and adoption by major enterprises to gauge long-term viability.
What We Found
ThoughtSpot is a recognized Leader in the Gartner Magic Quadrant and is used by 40% of the Fortune 25, demonstrating immense market trust.
Score Rationale
A score of 9.2 reflects its status as a Gartner Leader and its adoption by global giants like Walmart and T-Mobile, establishing it as a top-tier enterprise solution.
Supporting Evidence
The platform is currently used by 40% of the Fortune 25 companies. ThoughtSpot's platform is currently employed by 40% of the Fortune 25 and a quarter of the Fortune 100.
— itbrief.co.uk
Major enterprise customers include Walmart, Hulu, Daimler, and CVS Health. Some of the top ThoughtSpot include Walmart, Hulu, Daimler, Slack, Fannie Mae, Samsung, IBM, 7-Eleven, and Rituals Cosmetics.
— readycontacts.com
Gartner positioned ThoughtSpot as a Leader in the 2024 Magic Quadrant for Analytics and BI Platforms. ThoughtSpot, the AI-Powered Analytics company, today announced Gartner Inc. has positioned the company in the Leaders quadrant in the 2024 Gartner® Magic Quadrant™ for Analytics and BI Platforms.
— thoughtspot.com
8.9
Category 3: Usability & Customer Experience
What We Looked For
We look for ease of use for end-users versus the complexity of setup and maintenance for technical teams.
What We Found
End-users benefit from an intuitive 'Google-like' search interface, but technical teams face a steep learning curve for data modeling and setup.
Score Rationale
The score is 8.9, balancing the exceptional self-service experience for business users against the significant technical effort required to prepare data models.
Supporting Evidence
Support for lower-tier plans is limited to community-based options. Something you'll want to be aware of with this plan is that customer support is in-app and community-based.
— embeddable.com
Effective use requires flawless data modeling, which can be a significant hurdle. Cons: It requires your data model to be flawless... ThoughtSpot generally assumes the data is already perfectly aggregated and joined in your warehouse.
— reddit.com
Reviewers praise the search interface as intuitive for non-technical staff, often comparing it to Google. The search interface is very intuitive for non-technical staff... Many users on G2 describe it as 'Google for your company's data.'
— reddit.com
Outlined in product documentation, the platform eases integration without burdening development teams.
— thoughtspot.com
8.5
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze pricing structures, transparency of costs, and accessibility for different business sizes.
What We Found
ThoughtSpot has a high entry cost with opaque enterprise pricing, making it less accessible for startups compared to competitors.
Score Rationale
We assigned an 8.5 because the $1,250/month starting price and hidden enterprise costs create barriers, despite the high value of its AI features.
Supporting Evidence
Consumption-based pricing models can lead to unpredictable costs. Embedded usage can scale unpredictably, depending on your query volume.
— embeddable.com
Pricing for embedded and enterprise use cases is not transparent and requires contacting sales. Unlike many competitors, ThoughtSpot doesn't provide upfront pricing for embedded analytics—you'll need to contact their sales team for custom quotes.
— usedatabrain.com
The Essentials plan starts at $1,250 per month, billed annually. Essentials: For Small to medium size companies ($1250 per month billed annually).
— datapad.io
We evaluate the quality of SDKs, documentation, and tools available for developers integrating the product.
What We Found
The Visual Embed SDK and Developer Playground provide a strong foundation for integration, though deep UI customization has some limitations.
Score Rationale
A score of 9.0 is justified by the robust TypeScript SDK and interactive Playground, though it falls short of a perfect score due to restrictions on custom styling.
Supporting Evidence
Embedding often relies on iFrames or SDK wrappers that preserve ThoughtSpot's UI, limiting native feel. While ThoughtSpot offers embedded analytics capabilities, these experiences are typically delivered through SDKs or iframes that preserve the platform's BI-oriented UI and interaction patterns.
— embeddable.com
Developers can use a dedicated Playground to explore APIs and preview code. The ThoughtSpot Developer portal allows you to explore the SDK and APIs, preview code snippets, customize styles and UI elements, and view developer documentation.
— docs.thoughtspot.com
ThoughtSpot provides a Visual Embed SDK available as an NPM package for React and JavaScript. The Visual Embed SDK provides a Javascript library to embed ThoughtSpot elements in your host application. The Visual Embed SDK is available for installation as a Node Package Manager (NPM) package.
— docs.thoughtspot.com
9.4
Category 6: Security, Compliance & Data Protection
What We Looked For
We examine the product's adherence to industry security standards, certifications, and data protection features.
What We Found
ThoughtSpot maintains top-tier security certifications including ISO 27001, SOC 2 Type II, and HIPAA attestation, ensuring enterprise-grade protection.
Score Rationale
The score of 9.4 reflects a comprehensive security posture with all major certifications (ISO, SOC2, HIPAA) verified, suitable for highly regulated industries.
Supporting Evidence
Security features include Row Level Security (RLS) and trusted authentication. Alternatively, you can define these rules natively in ThoughtSpot with features like row-level and column-level security, role-based access control, and native content verification.
— thoughtspot.com
The platform has completed HIPAA attestation for handling medical information. ThoughtSpot has completed a Health Insurance Portability and Accountability Act (HIPAA) attestation, which provides assurances that ThoughtSpot implements adequate measures for saving, accessing, and sharing medical and personal information.
— trustshare.thoughtspot.com
ThoughtSpot has achieved ISO/IEC 27001:2013 certification. ThoughtSpot, the Modern Analytics Cloud company, today announced that it achieved the International Organization for Standardization (ISO) ISO/IEC 27001:2013 certification.
— thoughtspot.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.
Requires pristine data modeling; the system struggles with complex or messy schemas, demanding significant technical setup.
Impact: This issue caused a significant reduction in the score.
Knowi is a highly adaptable SaaS solution designed specifically for embedding interactive analytics into customer-facing portals, internal tools, and partner dashboards. Its flexibility, combined with the ability to handle multiple data sources, makes it a powerful tool for businesses seeking to deliver real-time insights to their customers, employees, or partners.
Knowi is a highly adaptable SaaS solution designed specifically for embedding interactive analytics into customer-facing portals, internal tools, and partner dashboards. Its flexibility, combined with the ability to handle multiple data sources, makes it a powerful tool for businesses seeking to deliver real-time insights to their customers, employees, or partners.
COST PREDICTABILITY
Best for teams that are
Companies using NoSQL databases like MongoDB or ElasticSearch without ETL
Teams needing to blend data from SQL, NoSQL, and APIs natively
Developers wanting flexible embedding via JavaScript API or iframe
Skip if
Organizations strictly requiring a traditional SQL-based semantic layer
Users needing a vast marketplace of third-party custom visuals
Teams needing complex print-formatted reporting
Expert Take
Knowi's Embedded Analytics platform is a game-changer for industry professionals who need to provide real-time analytics within their customer-facing portals. Its ability to integrate with a variety of data sources, alongside its adaptability, allows businesses to tailor their analytics delivery to specific needs. This flexibility, coupled with real-time delivery of insights, makes Knowi a powerful tool for enhancing customer satisfaction and driving decision-making processes.
Pros
Adaptable to different business needs
Can handle multiple data sources
Delivers real-time insights
Easy to integrate into existing platforms
Cons
Pricing information not readily available
May require technical knowledge to fully utilize
Limited pre-built data connectors
This score is backed by structured Google research and verified sources.
Overall Score
9.4/ 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 Dashboards for Customer Facing Portals. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
8.7
Category 1: Usability & Customer Experience
What We Looked For
We evaluate the ease of use for both technical developers and non-technical business users.
What We Found
Users appreciate the intuitive interface for basic tasks and NLP features, but report a steep learning curve for advanced configurations and complex UI elements.
Score Rationale
The score is impacted by documented user feedback regarding the difficulty new users face when mastering the platform's more complex features.
Supporting Evidence
Natural language processing allows users to ask questions in plain English. Ask ad hoc questions in plain English using NLP.
— knowi.com
Users appreciate Knowi's intuitive interface for dashboard creation but note a learning curve. Users appreciate Knowi's intuitive interface, making dashboard creation straightforward without extensive training.
— selecthub.com
Integration with existing platforms is documented as straightforward.
— knowi.com
8.5
Category 2: Value, Pricing & Transparency
What We Looked For
We analyze pricing models, transparency of costs, and perceived value relative to features.
What We Found
Knowi uses a quote-based annual license model that claims to be 'no-surprise' compared to per-seat competitors, but specific pricing is not publicly transparent.
Score Rationale
The lack of public pricing tiers lowers the transparency score, although the 'all-inclusive' model is a value add for enterprises avoiding hidden fees.
Supporting Evidence
Pricing is not publicly listed and requires a custom quote. Starting From: Undisclosed; Pricing Model: Annually, Quote-Based
— selecthub.com
Knowi operates on an annual license model designed to avoid hidden fees. Transparent, simple, fixed BI pricing. Unlike Tableau or Power BI - no hidden fees or surprises.
— knowi.com
We examine the ability to connect to non-relational databases and virtualize data without ETL processes.
What We Found
Knowi excels here, offering native connectors for MongoDB and Elasticsearch that allow direct querying and joining across sources without moving data.
Score Rationale
This is Knowi's standout feature, earning a near-perfect score for eliminating the need for complex ETL pipelines common in other BI tools.
Supporting Evidence
Users can join data across SQL and NoSQL sources on the fly. Join multiple Data Sources on the fly without traditional ETL processing.
— knowi.com
Knowi supports native queries into NoSQL databases like MongoDB and Elasticsearch without ETL. Knowi treats SQL and NoSQL sources as equal citizens. It offers native connectors for more than 30 NoSQL databases... without centralising data.
— knowi.com
Integration capabilities with various data sources are outlined in the product documentation.
— knowi.com
9.2
Category 4: Security, Embedding & White Labeling
What We Looked For
We evaluate features specifically for embedding analytics into other products, including customization and security.
What We Found
The platform provides extensive white-labeling options (custom domain, logos), secure SSO embedding, and row-level security for multi-tenant applications.
Score Rationale
Strong embedding capabilities and security features make it a top choice for SaaS companies looking to integrate analytics seamlessly.
Supporting Evidence
Security features include Single Sign-On (SSO) and row-level security. Choose SSO-Based Embedding If: Customers expect per-user permissions... Exports must be safe and auditable.
— knowi.com
Knowi offers full white-labeling including custom domains, logos, and CSS overrides. Custom Branding & Domain – Replace all Knowi logos and references... host dashboards on a custom subdomain.
— embeddable.com
Security measures and compliance standards are detailed in published security documentation.
— knowi.com
9.2
Category 5: Product Capability & Depth
Insufficient evidence to formulate a 'What We Looked For', 'What We Found', and 'Score Rationale' for this category; this category will be weighted less.
Holistics Docs Embedded Analytics is a powerful SaaS solution that enables businesses to embed interactive, data-rich dashboards directly into their own applications or websites. This addresses the industry's demand for real-time data visualization and customer engagement, making this tool perfect for customer-facing portals.
Holistics Docs Embedded Analytics is a powerful SaaS solution that enables businesses to embed interactive, data-rich dashboards directly into their own applications or websites. This addresses the industry's demand for real-time data visualization and customer engagement, making this tool perfect for customer-facing portals.
Best for teams that are
Data teams prioritizing analytics-as-code and Git-based version control
Internal tools or B2B portals where iframe embedding is acceptable
SQL-centric teams wanting a reusable semantic modeling layer
Skip if
Product teams needing fully native, non-iframe embedding options
Non-technical users who need a purely drag-and-drop dashboard builder
High-traffic public apps requiring unlimited scale without per-viewer costs
Expert Take
Our analysis shows that Holistics uniquely addresses the scalability cost problem in embedded BI by offering an 'unlimited viewers' pricing model backed by robust worker-based infrastructure. Research indicates that its 'Analytics-as-Code' philosophy, featuring Git integration and CI/CD workflows, makes it an exceptional choice for engineering-led teams who value governance and automation over drag-and-drop simplicity.
Pros
Unlimited dashboard viewers included in base price
Git version control and CI/CD integration
SOC 2 Type II and GDPR compliant
Row-level security enforced via JWT
Predictable worker-based pricing model
Cons
Iframe embedding limits deep UI customization
Requires HTTPS for localhost development
Steeper learning curve for AMQL modeling
No native web component embedding option
This score is backed by structured Google research and verified sources.
Overall Score
9.4/ 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 Dashboards for Customer Facing Portals. 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 robustness of the embedding technology, data modeling capabilities, and the flexibility of the semantic layer for SaaS applications.
What We Found
Holistics offers a robust 'Analytics-as-Code' platform with a strong semantic layer, though it relies on iframe-based embedding rather than native web components.
Score Rationale
The score is high due to advanced semantic modeling and Git integration, but capped below 9.0 because the iframe-based approach limits pixel-perfect native UI integration compared to newer competitors.
Supporting Evidence
The platform is built around 'analytics-as-code' and governed metrics, focusing on SQL-driven modeling and version control. Holistics is an analytics platform built around analytics-as-code and governed metrics, with a strong focus on SQL-driven modeling, version control, and internal analytics workflows.
— embeddable.com
Holistics embeds analytics using iframe-based dashboards, which limits how closely the visuals can integrate with the host application compared to native DOM rendering. Holistics embeds analytics using iframe-based dashboards, which limits how closely the visuals can integrate with the host application.
— embeddable.com
Customizable dashboards are described in platform documentation, allowing user-specific data presentation.
— docs.holistics.io
Documented in official product documentation, Holistics supports real-time data visualization, crucial for dynamic customer engagement.
— docs.holistics.io
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's reputation, compliance certifications, and public user reviews to gauge reliability and market standing.
What We Found
The company holds SOC 2 Type II certification and maintains a strong reputation with a 4.3/5 star rating on major review platforms.
Score Rationale
Achieving SOC 2 Type II compliance and maintaining positive user sentiment across third-party review sites justifies a score above 9.0, indicating a high level of trust.
Supporting Evidence
The product holds a 4.3 out of 5 stars rating based on user reviews. 4.3 out of 5 stars.
— g2.com
Holistics has officially obtained SOC 2 Type II Attestation, demonstrating a rigorous framework for security and data protection. I'm super proud to announce that Holistics has recently obtained a SOC 2 Type II Attestation.
— community.holistics.io
8.9
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of setup, developer workflows, and the overall experience for both engineers and end-users.
What We Found
Setup is described as 'simple and painless' with strong Git workflows, though local development requires HTTPS configuration which adds friction.
Score Rationale
The developer-friendly 'as-code' workflow drives the score up, but the mandatory HTTPS requirement for localhost testing prevents it from reaching the 9.0+ tier.
Supporting Evidence
Developers cannot embed dashboards on localhost without HTTPS due to Content Security Policy rules. Holistics has a CSP (Content Security Policy) rule that only allows embedding Holistics dashboards in HTTPS websites. ... Solution: Run your localhost site with HTTPS.
— docs.holistics.io
Users describe the integration process as simple, involving a UX designer and FE engineer to integrate dashboards into platforms. The process was simple and painless... I built them, and then worked with a FE engineer to integrate them into our platform.
— holistics.io
9.5
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model, specifically looking for hidden costs versus transparent, scalable value for embedded use cases.
What We Found
Holistics offers a highly competitive model starting at $800/month that includes unlimited dashboard viewers, avoiding per-user seat costs.
Score Rationale
The 'unlimited viewers' pricing model is a market-leading value proposition for scaling SaaS products, justifying an exceptional score of 9.5.
Supporting Evidence
Pricing is based on backend workers rather than user licenses, allowing companies to scale without escalating costs. I like the way Holistics handles embedding with workers in the background that you pay for, instead of buying licenses for every user.
— holistics.io
The embedded analytics solution starts at $800/month and includes unlimited viewers and reports. Pricing: Holistics's embedded analytics solution starts at $800/month and comes with unlimited viewers, unlimited reports created, and all functionalities included.
— holistics.io
9.0
Category 5: Developer Experience & API Quality
What We Looked For
We evaluate the tools provided for engineering teams, including version control, CI/CD integration, and SDK quality.
What We Found
The platform excels with Git versioning, CI/CD workflow support, and a programmable 'analytics-as-code' approach.
Score Rationale
The ability to manage analytics via code and integrate with standard DevOps pipelines (Git, CI/CD) makes it highly attractive for engineering teams, meriting a 9.0.
Supporting Evidence
The platform allows dynamic management of row and column-level access through APIs instead of static permissions. Holistics lets teams manage row and column-level access dynamically through APIs.
— holistics.io
Engineers can scale and maintain analytics using Git versioning and CI/CD workflows. Scale and maintain analytics reliably with Git versioning, CI/CD workflows, and clean code practices.
— holistics.io
Listed in the company's integration directory, Holistics supports integration with major databases like PostgreSQL and MySQL.
— docs.holistics.io
9.4
Category 6: Security, Compliance & Data Protection
What We Looked For
We investigate security protocols, authentication methods, and compliance standards critical for embedded analytics.
What We Found
Security is comprehensive with SOC 2 Type II, GDPR compliance, JWT authentication, and enforced Row-Level Security (RLS).
Score Rationale
With top-tier certifications and robust token-based authentication (JWT) that enforces data isolation, the product meets strict enterprise security requirements.
Supporting Evidence
The platform is fully GDPR and SOC 2 compliant. Is Holistics GDPR-compliant? Yes we are. ... Is Holistics SOC2-compliant? Yes we are.
— docs.holistics.io
Holistics uses JSON Web Tokens (JWT) to authenticate users and enforce permissions, ensuring viewers only see data they are allowed to access. We use JSON Web Token (JWT) for user authentication... With a token generated with JWT, you can identify your users and ensure they can only see the data they are allowed to.
— docs.holistics.io
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 proprietary AMQL (Analytics Model Query Language) and code-centric workflow present a steeper learning curve for non-technical users compared to purely visual builders.
Impact: This issue had a noticeable impact on the score.
The platform relies on iframe-based embedding, which limits the ability to create a fully native, pixel-perfect UI experience compared to modern web component solutions.
Impact: This issue caused a significant reduction in the score.
Power BI Embedded Analytics is an excellent tool specifically designed for businesses that require dynamic, interactive, and customer-facing dashboards. It caters to the industry's need for an innovative way to visualize data and share insights, allowing users to embed items like reports, dashboards, and tiles directly into a web application or website.
Power BI Embedded Analytics is an excellent tool specifically designed for businesses that require dynamic, interactive, and customer-facing dashboards. It caters to the industry's need for an innovative way to visualize data and share insights, allowing users to embed items like reports, dashboards, and tiles directly into a web application or website.
FLEXIBLE CUSTOMIZATION
Best for teams that are
Organizations deeply integrated with Azure and Microsoft Office 365
ISVs needing to scale to many users using capacity-based pricing
Skip if
SaaS products requiring a fully white-labeled, native-feeling UI (iframe limits)
Teams requiring Git-based version control for analytics logic
Projects with large datasets on a limited budget due to capacity costs
Expert Take
Our analysis shows that Power BI Embedded Analytics stands out for its enterprise-grade security and flexible 'App Owns Data' model, which allows ISVs to scale without purchasing individual licenses for every end-user. Research indicates that features like Service Principal Profiles and Row-Level Security (RLS) provide a robust foundation for secure, massive multi-tenancy that few competitors can match. While the learning curve is steep, the ability to pause capacity and pay hourly offers a unique cost-control mechanism for growing applications.
Pros
Hourly billing with pause capability (A SKUs)
Robust Row-Level Security (RLS) for data isolation
Service Principal Profiles for massive multi-tenancy
Deep integration with Microsoft Azure ecosystem
No end-user Power BI licenses required (App Owns Data)
Cons
Performance lags with large datasets
Steep learning curve for non-Microsoft developers
Complex capacity-based pricing structure
Strict API rate limiting and throttling
Limited UI customization for seamless white-labeling
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 Dashboards for Customer Facing Portals. We then subtract the Score Adjustments & Considerations we have noticed to give us the final score.
9.3
Category 1: Product Capability & Depth
What We Looked For
We evaluate the breadth of embedding features, including white-labeling, API control, and support for complex data interactions.
What We Found
Power BI Embedded offers deep integration capabilities, allowing developers to embed reports, dashboards, and tiles with full interactivity. It supports 'App Owns Data' scenarios where end-users do not need Power BI licenses, utilizing Service Principals for authentication. Advanced features include custom layout controls, JavaScript API for bi-directional communication, and Service Principal Profiles to manage tens of thousands of customer tenants.
Score Rationale
The product scores highly due to its comprehensive API and ability to handle complex multi-tenant scenarios via Service Principal Profiles, though it requires significant technical expertise to leverage fully.
Supporting Evidence
Service Principal Profiles allow applications to scale to hundreds of thousands of users by overcoming the 1,000 workspace limit. By designing and implementing an application with service principal profiles, you can create and manage a multitenancy solution comprising tens of thousands of customer tenants.
— learn.microsoft.com
Power BI Embedded enables ISVs to integrate analytics without requiring end-user licenses through the 'App owns data' model. App owns data... allows you to embed your Power BI items such as reports, dashboards and tiles, in a web application... without requiring additional Power BI Pro licenses for report consumers.
— learn.microsoft.com
Documented ability to embed interactive dashboards and reports into web applications, enhancing data visualization capabilities.
— learn.microsoft.com
9.6
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's market standing, adoption rates, and reliability as an enterprise-grade solution provider.
What We Found
As a Microsoft product, it holds a dominant market position with massive enterprise adoption. It is backed by the Azure infrastructure, ensuring high availability and compliance with global standards. The service is widely recognized as a leader in BI, with extensive documentation and a vast community ecosystem.
Score Rationale
The score reflects Microsoft's near-ubiquitous presence in the enterprise BI space and the reliability inherent in the Azure platform backing the service.
Supporting Evidence
Power BI has a massive market share and is used by startups to enterprise businesses globally. In the world of business intelligence, Power BI has a massive market share. From startups to enterprise businesses, companies around the world use it for their analytics solutions.
— luzmo.com
Recognized in Gartner's Magic Quadrant for Analytics and Business Intelligence Platforms.
— gartner.com
8.7
Category 3: Usability & Customer Experience
What We Looked For
We examine the developer experience, ease of implementation, and the learning curve for integrating the analytics.
What We Found
While powerful, the platform has a documented steep learning curve, particularly for those without a background in the Microsoft stack (Azure, DAX, Power Query). Users report that the interface can feel crowded and that achieving seamless design integration with custom apps often requires extensive 'design tweaks'. However, the 'ease of use' for basic report creation remains a strong point for data analysts.
Score Rationale
The score is impacted by the steep learning curve and customization challenges reported by developers, preventing a perfect score despite the tool's power.
Supporting Evidence
Customizing the look and feel to match a SaaS application can be difficult and limited. This tool is lacking in the customization department and you'll have to do a lot of design tweaks to get something that even remotely resembles your app.
— luzmo.com
Users report a slow learning curve, especially for those lacking data analysis or IT backgrounds. Users face a slow learning curve with Power BI, making it challenging for those with little data analysis experience.
— g2.com
8.5
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model, flexibility, and total cost of ownership for different use cases.
What We Found
Pricing is flexible but complex, utilizing Azure 'A' SKUs which allow for hourly billing and pausing—a critical feature for managing costs. However, costs can be unpredictable and 'increase rapidly' as capacity needs grow. There is often confusion between Azure (A) SKUs and Office 365 (EM) SKUs regarding features and billing cycles.
Score Rationale
The ability to pause and pay hourly is a major value add, but the complexity of capacity planning and potential for rapid cost escalation limits the score.
Supporting Evidence
Pricing can be complex and expensive, with costs that are hard to predict. The most significant issue is probably the cost, which can increase rapidly... This structure complicates the ability to forecast expenses on a monthly or daily basis.
— dev4side.com
Azure A SKUs allow for hourly billing and can be paused to save costs, unlike EM SKUs. Power BI Embedded capacity is billed hourly, can be purchased hourly, and can be paused – meaning no long-term commitments... This pausing capability is critical for small ISVs.
— whitepages.bifocal.show
Pricing based on capacity, with options starting at $750/month for A1 node.
— azure.microsoft.com
8.8
Category 5: Scalability & Performance
What We Looked For
We assess the system's ability to handle large datasets, concurrent users, and API load.
What We Found
While scalable via capacity tiers (A1-A6), users report performance bottlenecks with large datasets, including slow load times and laggy interactivity. The API enforces strict throttling (e.g., 120 requests/minute), which can trigger errors under heavy load. However, 'Service Principal Profiles' effectively solve the workspace limitation issue for large-scale multi-tenancy.
Score Rationale
The score is anchored by strong architectural scalability (profiles) but penalized by documented performance struggles with large datasets and strict API throttling limits.
Supporting Evidence
Power BI enforces API throttling limits to maintain performance, which can affect high-volume apps. Power BI uses throttling to maintain optimal performance... There is a general limit of 120 API requests per minute per user.
— rollout.com
Users report performance issues and slow load times when using high-volume datasets. Power BI Embedded users also complain about performance difficulties when using high-volume datasets. Report load times increase and interactivity can lag.
— revealbi.io
9.4
Category 6: Security, Compliance & Data Protection
What We Looked For
We evaluate features specifically designed for data isolation, multi-tenancy, and regulatory compliance.
What We Found
The platform excels in security with robust Row-Level Security (RLS) that filters data based on user identity within the embed token. It supports Object-Level Security (OLS), Multi-Geo deployment for data residency compliance, and strict tenant isolation using Service Principal Profiles. These features make it highly suitable for secure, multi-tenant SaaS applications.
Score Rationale
Security is a standout strength, with granular control over data access (RLS/OLS) and enterprise-grade compliance features built directly into the embedding workflow.
Supporting Evidence
Multi-Geo support allows ISVs to deploy data in different regions to meet compliance needs. Multi-Geo support for Power BI Embedded means that ISVs... can now deploy their data in different regions around the world.
— learn.microsoft.com
Row-Level Security (RLS) restricts user access to specific data rows within embedded items. When you embed items, you can use RLS to restrict user access to specific rows of data. With RLS, different users can work with the same items but see different data.
— learn.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.
Strict API throttling limits (e.g., 120 requests per minute) can cause 'Threshold limit exceeded' errors for applications with high concurrency.
Impact: This issue caused a significant reduction in the score.
XeoMatrix offers custom-built Tableau embedded analytics and dashboards tailored to your corporate brand and reporting needs. Its services are ideal for businesses seeking to deliver customer-facing portals with deep-dive insights and data visualization capabilities.
XeoMatrix offers custom-built Tableau embedded analytics and dashboards tailored to your corporate brand and reporting needs. Its services are ideal for businesses seeking to deliver customer-facing portals with deep-dive insights and data visualization capabilities.
DATA SECURITY
Best for teams that are
Organizations using Tableau that need expert help deploying embedded portals
Companies wanting a managed, branded portal wrapper around their Tableau environment
Skip if
Businesses not already invested in or willing to purchase Tableau licensing
Developers seeking a lightweight JavaScript SDK for custom app integration
Teams wanting a standalone BI product rather than a service wrapper
Expert Take
Our analysis shows XeoMatrix effectively bridges the gap between Tableau's powerful visualization engine and the technical challenges of embedding it. By utilizing a proprietary 'Launchpad' framework that bypasses traditional iFrames, they deliver a seamless, responsive user experience that feels native to the host application. Research indicates this approach allows enterprises to leverage their existing Tableau investment while achieving a significantly faster time-to-market compared to building custom portals from scratch.
Pros
No iFrames for seamless UI
Rapid 3-month go-to-market
Tableau Gold Partner expertise
Integrated Row-Level Security
Fully responsive mobile design
Cons
Requires separate Tableau licensing
Not a standalone SaaS platform
Opaque implementation pricing
Dependent on Tableau API limits
Complex multi-tenancy setup
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 Dashboards for Customer Facing Portals. 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 solution's ability to embed complex analytics seamlessly into applications without technical limitations like iFrames.
What We Found
XeoMatrix offers a proprietary 'Launchpad' framework that embeds Tableau dashboards using the Embedding API rather than iFrames, enabling fully responsive, white-labeled portals with row-level security and self-service reporting capabilities.
Score Rationale
The score is high due to the advanced 'no iFrame' technical approach which solves a major usability pain point in the embedded analytics market, though it remains dependent on Tableau's core visualization engine.
Supporting Evidence
Features include seamless embedding of Tableau dashboards, integrated user authentication, row-level data security, and custom-styled filters. Feature List. • Seamless Embedding of Tableau Dashboards. • Integrated User Authentication & Portal Login. • Row Level Data Security.
— xeomatrix.com
The solution uses a 'No iFrames' approach to deploy seamless embedded solutions that provide fully responsive designs. No iFrames. Deploy a seamless embedded solution that provides a fully responsive design.
— xeomatrix.com
Custom-built Tableau dashboards documented on the official product page offer tailored solutions for corporate branding and reporting needs.
— xeomatrix.com
9.2
Category 2: Market Credibility & Trust Signals
What We Looked For
We look for verified partnerships, industry recognition, and documented success stories with enterprise clients.
What We Found
XeoMatrix is a Tableau Gold Partner with over 20 years of analytics leadership, featuring a team of Tableau Ambassadors and Visionaries, and holds verified client success stories with brands like TOMS and Field Agent.
Score Rationale
The 'Gold Partner' status combined with specific, named enterprise case studies and a long operational history justifies a premium credibility score.
Supporting Evidence
The company has supported and trained over 7,000 professionals and has 20 years of analytics leadership. With two decades of working with enterprise organizations, XeoMatrix has supported and trained over 7,000 professionals
— xeomatrix.com
XeoMatrix is a trusted Tableau Gold Partner and has been recognized for helping clients like Field Agent go to market in three months. Tableau and trusted Gold Partner XeoMatrix... talked about how peers are using Tableau to improve business outcomes
— xeomatrix.com
8.9
Category 3: Usability & Customer Experience
What We Looked For
We assess the ease of integration for developers and the seamlessness of the end-user viewing experience.
What We Found
The solution prioritizes a 'seamless' user experience by eliminating scrollbars and disjointed interfaces common with iFrames, and clients report that the team integrates so well they feel like internal staff.
Score Rationale
The removal of iFrames significantly boosts the end-user experience score, supported by strong testimonials regarding their supportive service model.
Supporting Evidence
The solution allows for a branded, integrated user journey that improves adoption and utilization. Working collaboratively with your people, our team creates a branded, integrated user journey to improve adoption and utilization.
— xeomatrix.com
Clients report that XeoMatrix consultants integrated so well they 'felt like they'd been on our team forever' and relieved significant pressure. XeoMatrix really helped get things done and relieve pressure. It never felt like we were alone on an island. They understood what we needed and felt like they'd been on our team forever.
— xeomatrix.com
The integration of corporate branding into dashboards enhances user experience by aligning with client needs.
— xeomatrix.com
8.0
Category 4: Value, Pricing & Transparency
What We Looked For
We evaluate public pricing availability and the total cost of ownership relative to market alternatives.
What We Found
Pricing for the embedded solution is not public; while training costs are transparent ($5k+), the embedded model relies on Tableau licensing which can be expensive for large-scale external deployments.
Score Rationale
The score is lower because the total cost of ownership is likely high due to underlying Tableau licensing fees, and specific implementation costs are opaque.
Supporting Evidence
Industry research indicates Tableau embedded analytics can be cost-prohibitive for large external audiences compared to other tools. One of the most significant challenges with Tableau Embedded Analytics is the cost, especially for large-scale implementations.
— holistics.io
Training pricing is transparent, listed at $5,000 for fundamentals, but embedded solution pricing is not explicitly detailed. Tableau Fundamentals $ 5,000... Custom Pricing Available For Class Size > 15.
— xeomatrix.com
Pricing is project-based and tailored, limiting upfront cost visibility but allowing for customized solutions.
— xeomatrix.com
We measure the speed at which a client can go from concept to a live, customer-facing embedded analytics product.
What We Found
XeoMatrix leverages its pre-built 'Launchpad' framework to drastically reduce development time, with documented cases of clients launching full embedded solutions in as little as three months.
Score Rationale
A 3-month go-to-market timeline for a complex, enterprise-grade embedded analytics portal is exceptionally fast, justifying a score of 9.0.
Supporting Evidence
The solution is designed to 'jumpstart' development and simplify deployment. Learn how XeoMatrix and Tableau can jumpstart your development and simplify your embedded solution deployment.
— tableau.com
A customer case study confirms they were able to launch an embedded solution to clients in just three months using XeoMatrix's approach. Three months, they were able to launch an embedded solution to their clients.
— xeomatrix.com
8.8
Category 6: Security & Architecture Standards
What We Looked For
We examine the solution's data governance, authentication methods, and architectural security compliance.
What We Found
The solution supports 'Medallion-style' data architectures and integrates row-level security (RLS) with existing authentication providers, ensuring data is secure and only accessible to authorized users.
Score Rationale
Strong adherence to enterprise security standards like RLS and integrated authentication supports a high score, though it relies on the client's underlying Tableau infrastructure.
Supporting Evidence
The portal includes integrated user authentication and row-level data security to protect sensitive information. Protect your data through integrated authentication & data level security.
— xeomatrix.com
XeoMatrix helps organizations implement Medallion-style data architectures tailored to their security and business goals. XeoMatrix helps organizations design, implement, and operate Medallion-style data architectures
— xeomatrix.com
Scalable implementations are documented, supporting businesses of various sizes and requirements.
— xeomatrix.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.
Dependency on Tableau's underlying architecture limits native multi-tenancy capabilities. Research indicates that multi-tenancy is often an 'afterthought' in Tableau, requiring workarounds that XeoMatrix's framework must compensate for.
Impact: This issue caused a significant reduction in the score.
High Total Cost of Ownership (TCO) due to dependency on Tableau licensing. Unlike standalone embedded SaaS tools, this solution requires purchasing Tableau Viewer/Explorer licenses for end-users, which can be cost-prohibitive for large external deployments.
Impact: This issue caused a significant reduction in the score.
Amazon QuickSight's 1-click embedding feature is an excellent solution for those in the SaaS industry seeking to enhance their apps and portals' user experience. This feature allows the embedding of interactive dashboards in apps, wikis, and portals, providing a rich and uncomplicated way to visualize and manipulate data.
Amazon QuickSight's 1-click embedding feature is an excellent solution for those in the SaaS industry seeking to enhance their apps and portals' user experience. This feature allows the embedding of interactive dashboards in apps, wikis, and portals, providing a rich and uncomplicated way to visualize and manipulate data.
Developers needing session-based pricing for unpredictable user traffic
Skip if
Teams needing complex data modeling or advanced semantic layers within the BI tool
Applications requiring seamless DOM integration (relies on iframes)
Users wanting extensive custom visual types beyond standard charts
Expert Take
Our analysis shows that AWS QuickSight Embedding excels for organizations deeply entrenched in the AWS ecosystem, offering a truly serverless architecture that eliminates infrastructure management. Research indicates its usage-based pricing model is highly cost-effective for internal tools and sporadic usage patterns. While it lacks the deep data modeling of Power BI, its robust security certifications (FedRAMP, HIPAA) and recent additions like Generative BI (Amazon Q) make it a compelling, scalable choice for secure enterprise embedding.
Pros
Serverless architecture scales automatically
Cost-effective pay-per-session pricing
Deep integration with AWS ecosystem
Strong security with FedRAMP/HIPAA
Generative BI with Amazon Q
Cons
No semantic data modeling layer
Limited advanced visualization customization
Clunky authoring interface
No local development environment
Complex pricing for high-traffic public sites
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 Dashboards for Customer Facing Portals. 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 analytics features, embedding options, and visualization capabilities available for integration.
What We Found
AWS QuickSight offers robust embedding options including 1-click embedding for no-code integration and a JavaScript SDK (v2.0) for deep application control. It features the SPICE in-memory engine for performance, Generative BI (Amazon Q) for natural language queries, and recently added support for pixel-perfect reporting and threshold alerts within embedded views.
Score Rationale
The score is high due to powerful serverless scaling and GenBI features, but capped below 9.0 because it lacks the deep semantic data modeling capabilities found in competitors like Power BI.
Supporting Evidence
Embedded dashboards now support scheduling and threshold alerts for registered users. Amazon QuickSight launches support for threshold alerts and scheduling in embedded dashboards for registered users.
— aws.amazon.com
The Embedding SDK v2.0 provides granular control over the embedded experience, including event monitoring and state persistence. The QuickSight SDK v2.0 adds several customization improvements such as an optional preloader and new external hooks for managing undo, redo, print options, and parameters.
— aws.amazon.com
QuickSight supports 1-click embedding, allowing users to embed dashboards without coding. QuickSight Enterprise Edition now supports 1-click embedding, a feature that allows you to embed rich, interactive dashboards in apps, wikis, and portals without needing to call embedding APIs.
— aws.amazon.com
Documented in official product documentation, AWS QuickSight offers 1-click embedding for interactive dashboards, enhancing user experience in SaaS applications.
— aws.amazon.com
9.4
Category 2: Market Credibility & Trust Signals
What We Looked For
We assess the vendor's stability, market adoption, and reliability for enterprise-grade deployments.
What We Found
As a native AWS service, QuickSight benefits from immense infrastructure reliability and is used by major enterprises like Docebo and aCommerce. It powers millions of dashboard views weekly and is backed by Amazon's massive ecosystem, ensuring long-term stability and continuous feature updates.
Score Rationale
The score reflects the unmatched reliability and backing of AWS, positioning it as a highly credible choice for enterprise analytics.
Supporting Evidence
Major platforms like Docebo use QuickSight embedded analytics to serve thousands of customers. Hear how Docebo uses embedded analytics to serve more than 4000 customers worldwide.
— youtube.com
QuickSight powers millions of dashboard views weekly for customers worldwide. Amazon QuickSight powers millions of dashboard views weekly, so your end users can make better data-driven decisions.
— g2.com
8.5
Category 3: Usability & Customer Experience
What We Looked For
We examine the ease of use for both developers implementing the embed and end-users interacting with dashboards.
What We Found
While 1-click embedding simplifies the initial setup, users report that the dashboard authoring interface can be clunky and lacks the intuitive formatting flexibility of competitors. The learning curve for advanced features and the lack of a semantic layer can frustrate power users accustomed to other BI tools.
Score Rationale
The score is impacted by documented user frustrations regarding UI limitations and formatting difficulties, despite the ease of the serverless setup.
Supporting Evidence
The lack of a semantic data model forces users to create flat datasets, which can be intuitive for some but limiting for complex modeling. There is no real 'data model' in the dashboards like there is in PowerBI... Generally it's one (or multiple) giant tables that don't have any kind of joins between them.
— reddit.com
Users find the visualization options limited and the interface less flexible than competitors. There are a few visualization possibilities, making QuickSight much more limited than similar platforms... QuickSight has been difficult for businesses since several helpful, and required visualization kinds are not accessible.
— yurbi.com
Outlined in published support documentation, AWS QuickSight's user interface supports easy integration of dashboards into apps and portals.
— docs.aws.amazon.com
8.8
Category 4: Value, Pricing & Transparency
What We Looked For
We analyze the pricing model's flexibility, transparency, and cost-effectiveness for embedded use cases.
What We Found
QuickSight offers a competitive usage-based pricing model (pay-per-session) which is often more cost-effective than server-based licensing for sporadic usage. However, high-traffic public embedding can become expensive compared to capacity-based alternatives if not carefully managed.
Score Rationale
The score acknowledges the attractive low entry cost and serverless pricing model, while noting that costs can scale unpredictably for high-concurrency public use cases.
Supporting Evidence
User-based pricing is capped, providing predictability for internal users. User based pricing is capped at $5 max a month, regardless of how many people use it.
— reddit.com
Pricing includes a capacity model for bulk sessions, ideal for embedded applications. Capacity pricing: This model allows customers to purchase Quick Sight Reader sessions and Amazon Q question capacities in bulk without the need to provision individual users.
— aws.amazon.com
Pricing requires custom quotes, limiting upfront cost visibility, as documented in the pricing section of AWS QuickSight.
— aws.amazon.com
8.6
Category 5: Developer Experience & API Quality
What We Looked For
We assess the quality of SDKs, APIs, and tools available for developers integrating the product.
What We Found
The Embedding SDK 2.0 and Asset Bundle APIs have significantly improved the developer experience by enabling better event handling and CI/CD workflows. However, the lack of a local development environment and the complexity of managing assets across accounts remain minor friction points.
Score Rationale
The score is strong due to recent SDK improvements and automation APIs, but slightly penalized for the lack of local testing capabilities common in modern development workflows.
Supporting Evidence
SDK 2.0 introduces TypeScript support and better event monitoring. The new SDK supports improved code completion when integrated with IDEs through its adoption of TypeScript.
— aws.amazon.com
Asset Bundle APIs allow for the export and import of QuickSight assets for CI/CD pipelines. Use Quick Sight asset bundle API operations to export Quick Sight assets from one account to another... Asset bundle operations can be used to back up or restore deleted work.
— docs.aws.amazon.com
9.6
Category 6: Security, Compliance & Data Protection
What We Looked For
We evaluate the product's adherence to industry security standards, data isolation, and compliance certifications.
What We Found
QuickSight inherits AWS's industry-leading security posture, supporting Row-Level Security (RLS), Column-Level Security (CLS), and private VPC connectivity. It holds major certifications including FedRAMP, HIPAA, PCI DSS, and SOC, making it suitable for highly regulated industries.
Score Rationale
This category receives a near-perfect score due to the comprehensive compliance certifications and granular security controls available natively within the AWS ecosystem.
Supporting Evidence
The service complies with major standards including FedRAMP, HIPAA, and SOC. These include FedRamp, HIPAA, PCI DSS, SOC, and ISO (9001, 27001, 27018, and 27019).
— docs.aws.amazon.com
QuickSight supports Row-Level Security (RLS) to restrict data access for embedded users. For anonymous (unregistered) users, content access can be governed with row level security (RLS) tags.
— docs.aws.amazon.com
SOC 2 compliance outlined in published security documentation ensures data protection and compliance.
— aws.amazon.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.
Certain features available in the console, such as Data Stories and Executive Summaries, are not available in embedded dashboard views.
Impact: This issue had a noticeable impact on the score.
Users consistently report that the dashboard authoring UI can be clunky and lacks advanced formatting options, making it difficult to achieve specific visual designs.
Impact: This issue caused a significant reduction in the score.
QuickSight lacks a semantic data model layer, forcing users to flatten data into single tables rather than defining relationships, which limits complex modeling capabilities compared to competitors.
Impact: This issue caused a significant reduction in the score.
Clearsquare's White Label Dashboard is a SaaS solution tailored for businesses needing a secure, customizable portal for their users to access personalized data. It offers an out-of-the-box solution that effortlessly integrates with your existing systems and scales with your business, addressing the industry's need for flexible, secure, and intuitive user interfaces.
Clearsquare's White Label Dashboard is a SaaS solution tailored for businesses needing a secure, customizable portal for their users to access personalized data. It offers an out-of-the-box solution that effortlessly integrates with your existing systems and scales with your business, addressing the industry's need for flexible, secure, and intuitive user interfaces.
SCALABLE SOLUTIONS
USER-FRIENDLY INTERFACE
Best for teams that are
Domo users needing a quick, white-labeled client portal solution
Companies without an existing web application to embed analytics into
Skip if
Developers wanting to embed analytics components into their own existing SaaS app
Teams not utilizing the Domo platform for their data stack
Users needing granular control over the embedding code and interactions
Expert Take
Our analysis shows that Clearsquare Host solves a critical 'last mile' problem for Domo users by wrapping powerful analytics in a secure, fully branded portal without requiring custom engineering. Research indicates that its use of programmatic server-side filtering offers superior security compared to standard client-side embeds, ensuring data isolation for external users. While heavily tied to the Domo ecosystem, it transforms internal BI assets into a polished customer-facing product with minimal friction.
Pros
Seamless passwordless login for end-users
Secure programmatic server-side data filtering
No-code interface for dashboard management
Deep integration with Domo ecosystem
Full white-label customization (domain/logo)
Cons
Pricing model lacks public transparency
Heavy dependency on Domo platform
Server-side filtering incurs technical debt
Limited public third-party software reviews
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 Dashboards for Customer Facing Portals. 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 depth of white-labeling features, customization options, and the ability to deliver seamless embedded analytics without heavy engineering.
What We Found
Clearsquare Host provides a fully white-labeled portal solution specifically designed to embed Domo dashboards with extensive customization including domains, logos, and colors.
Score Rationale
The product scores highly for its specialized ability to turn internal BI dashboards into external customer-facing portals without code, though it is highly specialized for the Domo ecosystem.
Supporting Evidence
The platform enables end users to pull reports and access dashboards independently, removing IT bottlenecks. Within your Host web portal, your end users can pull reports and access dashboards without waiting for IT to export data for them.
— clearsquare.co
Clearsquare Host allows users to style the portal with logos, colors, fonts, and custom domains. Clearsquare Host comes with design flexibility, allowing you to style the portal with your logo, colors, fonts, and you can even customize the domain as well.
— clearsquare.co
The platform's scalability is highlighted as it can grow with business needs, ensuring long-term usability.
— clearsquare.co
Documented in official product documentation, the Clearsquare White Label Dashboard offers customizable dashboards and secure data access.
— clearsquare.co
8.8
Category 2: Market Credibility & Trust Signals
What We Looked For
We look for partnership status, documented case studies, and evidence of successful enterprise deployments.
What We Found
Clearsquare is a top-tier Domo consulting partner with documented success stories, such as the 'Together' platform case study, though public third-party software reviews are limited compared to broader SaaS tools.
Score Rationale
The score reflects strong partner status and verified enterprise case studies, balanced against a lower volume of public user reviews for the standalone software product.
Supporting Evidence
The mentorship platform 'Together' utilized Clearsquare's solution to save significant annual costs. Together saved 65K annually with Clearsquare Architect.
— clearsquare.co
Clearsquare is recognized as a top-tier consulting partner for Domo. Clearsquare, a top-tier consulting partner of Domo, excels in efficiency optimization.
— clearsquare.co
9.1
Category 3: Usability & Customer Experience
What We Looked For
We assess the ease of setup for administrators and the login experience for end-users.
What We Found
The platform excels in UX by offering a no-code setup for dashboards and a passwordless 'magic link' login experience for end-users.
Score Rationale
The elimination of password management for end-users and the no-code interface for admins drives this score into the premium range.
Supporting Evidence
Admins can share dashboards and manage access without writing code. Share dashboards without a single line of code. Select which dashboards to integrate into the portal... with a no-code interface
— clearsquare.co
The system uses email verification for logins, eliminating the need for password management. End users can easily login with emails that have been permitted by the customer. The system uses email verification to login, so no password management necessary.
— clearsquare.co
The user-friendly interface is emphasized in product documentation, allowing for intuitive navigation.
— clearsquare.co
8.2
Category 4: Value, Pricing & Transparency
What We Looked For
We look for clear, public pricing structures and demonstrated ROI for buyers.
What We Found
While the solution demonstrates high ROI (e.g., $65k savings), pricing is not publicly transparent and often follows a 'time and materials' consulting model rather than a fixed SaaS subscription.
Score Rationale
The score is penalized due to the lack of transparent, public SaaS pricing, despite the documented high value and cost savings for enterprise clients.
Supporting Evidence
Clients have reported significant annual savings by using Clearsquare instead of building internal solutions. Together saved 65K annually with Clearsquare Architect.
— clearsquare.co
Clearsquare typically uses a 'time and materials' pricing model for its engagements. The best way to run a project, in our experience is through a 'time and materials' approach.
— clearsquare.co
We look for the depth of integration with major BI platforms and data warehouses.
What We Found
The product is deeply integrated with the Domo ecosystem, leveraging 'Domo Everywhere' capabilities to unify customer data across platforms.
Score Rationale
The integration is exceptionally deep for Domo users, but the heavy dependency on this specific ecosystem limits its versatility compared to platform-agnostic tools.
Supporting Evidence
It is designed to allow Domo customers to embed dashboards externally. this allows a Domo customer to take their dashboards out of Domo. and embed them in an online portal.
— youtube.com
The platform integrates with existing databases and warehouses to unify customer data. Let Clearsquare integrate with your existing databases and warehouses, unifying your customers' data across all platforms and channels.
— clearsquare.co
Listed in the company's integration directory, the dashboard integrates easily with existing systems.
— clearsquare.co
9.2
Category 6: Security, Compliance & Data Protection
What We Looked For
We evaluate how the platform handles data access, filtering, and authentication security.
What We Found
Clearsquare employs robust server-side filtering to ensure data security, authenticating against the host platform to programmatically control data access.
Score Rationale
The implementation of server-side filtering rather than client-side hiding ensures a high level of data security, justifying a score above 9.0.
Supporting Evidence
Access can be securely filtered based on company, role, or custom values. Securely filter based on company, role, or any custom value. Now you can feel confident that the right people see their data.
— clearsquare.co
The portal uses programmatic server-side filtering to securely control content visibility. Server-Based — Clearsquare's portal uses programmatic server-side filtering. The environment that hosts the Domo embedded content is authenticated against Domo and programmatically determines what Filters to apply.
— docs.clearsquare.co
Outlined in published security policies, the platform ensures secure data access for users.
— clearsquare.co
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 product is heavily dependent on the Domo ecosystem (Domo Everywhere), limiting its utility for businesses using other BI stacks exclusively.
Impact: This issue caused a significant reduction in the score.
Pricing is not publicly listed as a fixed SaaS subscription; the company emphasizes a 'time and materials' model for projects, reducing transparency for software-only buyers.
Impact: This issue caused a significant reduction in the score.
The evaluation of embedded dashboards for customer-facing portals focused on key factors such as specifications, features, customer reviews, and ratings, ensuring a comprehensive analysis of each product's capabilities. Important considerations for this category included user interface design, integration capabilities, scalability, and the level of customization offered, as these aspects directly impact user experience and functionality. Rankings were determined by analyzing data from customer feedback, expert reviews, and comparative specifications, as well as evaluating the price-to-value ratio for each product. This research methodology emphasizes an objective approach, leveraging available data to provide informed insights into the performance and suitability of each embedded dashboard solution.
Overall scores reflect relative ranking within this category, accounting for which limitations materially affect real-world use cases. Small differences in category scores can result in larger ranking separation when those differences affect the most common or highest-impact workflows.
Verification
Products evaluated through comprehensive research and analysis of user feedback and industry standards.
Rankings based on a thorough analysis of specifications, customer reviews, and expert insights.
Selection criteria focus on key features such as integration capabilities, user experience, and customization options.
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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