# Best Embedded Business Intelligence Software for Small Business - Page 3 ## How Many Embedded Business Intelligence Software Products Does G2 Track? **Total Products under this Category:** 149 ### Category Stats (Jul 2026) - **Average Rating:** 4.43/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Databrain (+0.87%) - Among all products in this category, Databrain recorded the largest rating increase compared to last month _Last updated: July 31, 2026_ ## How Does G2 Rank Embedded Business Intelligence Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,100+ Authentic Reviews - 149+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Embedded Business Intelligence Software ![G2 Grid® for Embedded Business Intelligence Software plotting products by satisfaction and market presence](https://www.g2.com/categories/embedded-business-intelligence/grids.png?focus%5B%5D=610&focus%5B%5D=20158&focus%5B%5D=1213&focus%5B%5D=5981&focus%5B%5D=612&focus%5B%5D=162504&focus%5B%5D=848&focus%5B%5D=5048) Highlighted products: GoodData.AI, Amazon QuickSight, Tableau, Yellowfin BI, IBM Cognos Analytics, Hex, Sisense, and Looker. Underlying data: [Grid® JSON](https://www.g2.com/categories/embedded-business-intelligence/grids.json?focus%5B%5D=gooddata-ai&focus%5B%5D=amazon-quicksight&focus%5B%5D=tableau&focus%5B%5D=yellowfin-bi&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=hex-tech-hex&focus%5B%5D=sisense&focus%5B%5D=looker&segment=small-business) **Sponsored** ### Vibes Vibes’ mobile-first platform creates personal, revenue-driving and long-term mobile engagement between consumers and the world-class brands they love. Industry leaders like Chipotle, Kohl’s and Polo Ralph Lauren use Vibes to grow customer relationships with relevant, high-volume mobile messaging and mobile wallet marketing on a global scale. Vibes enables marketers to seamlessly connect with their customers using a data-rich and API-packed solution that beautifully optimizes and unifies their SMS, MMS, RCS and Mobile Wallet campaigns. Vibes is recognized as one of only four Tier 1 aggregators by the The Common Short Code Administration (CSCA). [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=622&secure%5Bchosen_at%5D=2026-08-01T02%3A48%3A55Z&secure%5Bdisplayable_resource_id%5D=1781&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1569&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1569&secure%5Bresource_id%5D=622&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fembedded-business-intelligence%2Fsmall-business%3Fpage%3D3&secure%5Btoken%5D=eaf49a880c0b23a71d0957941c4415e0ed5b6ebdc9618734b29aa282eb270470&secure%5Burl%5D=https%3A%2F%2Fwww.vibes.com%2Ftalk-to-vibes&secure%5Burl_type%5D=custom_url) ### [Mode](https://www.g2.com/products/mode-mode/reviews) Mode is the first BI platform to embrace the way modern data teams work, which enables data leaders to drive more efficient, higher impact analysis and increased data maturity through true self-service. As the unified intelligence layer, Mode maximizes modern data stack ROI and turns data into a competitive advantage for leading businesses across all sectors and stages. **Average Rating:** 4.5/5.0 **Total Reviews:** 319 #### How Do G2 Users Rate Mode? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Mode? - **Seller:** [Mode Analytics, Inc.](https://www.g2.com/sellers/mode-analytics-inc) - **Year Founded:** 2013 - **HQ Location:** San Francisco, California - **Twitter:** @ModeAnalytics 6,658 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3be0d9aafcf11a5779287e5805d5fa06e4f5684f93b64bb576a5bd9f7cf1adf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3307518%2F&secure%5Burl_type%5D=linkedin_company_website) 683 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Medium, 29% Large #### What Do G2 Reviewers Say About Mode? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **balance between analytics and self-service exploration** , enhancing visibility and usability across the organization. - Users value the **customization options** in Mode, enhancing usability for diverse roles and improving feature tracking. - Users find Mode's **ease of implementation** enhanced by SSO, facilitating organization-wide access and feature tracking. - Users appreciate the **ease of use** in Mode, benefiting from its clear interface and seamless implementation. - Users value the **efficiency** of Mode, benefiting from its clear visibility and useful scheduling options for data tracking. ##### Cons - Users find **complex setup** challenging, especially for less technical individuals needing considerable administrator support for integration. - Users find **complex usage** challenging, particularly for those less technical, needing significant admin support for integration. - Users find **on-boarding less technical users** challenging, as it requires significant admin support for data integration. - Users find **difficult learning** for less technical users, requiring significant admin support for effective onboarding. - Users find **initial difficulty** onboarding less technical users, requiring admin support for source authentication despite easy integration. #### What Are Recent G2 Reviews of Mode? **["Outstanding!"](https://www.g2.com/survey_responses/mode-review-7980594)** **Rating:** 5.0/5.0 stars _— Stephan R._ [Read full review](https://www.g2.com/survey_responses/mode-review-7980594) **["Powerful and Flexible platform for data driven decision making"](https://www.g2.com/survey_responses/mode-review-11476277)** **Rating:** 4.5/5.0 stars _— Gopi k._ [Read full review](https://www.g2.com/survey_responses/mode-review-11476277) ### [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews) Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required. **Average Rating:** 4.8/5.0 **Total Reviews:** 36 #### How Do G2 Users Rate Plotly Dash Enterprise? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.0/10 (Category avg: 8.5/10) #### Who Is the Company Behind Plotly Dash Enterprise? - **Seller:** [Plotly](https://www.g2.com/sellers/plotly) - **Year Founded:** 2013 - **HQ Location:** Montréal, CA - **Twitter:** @plotlygraphs 41,308 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=333261e482ab8eeda91d8b94f8944150fd0b5c49c67c2f514107b3eda84f9046&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3327684%2F&secure%5Burl_type%5D=linkedin_company_website) 105 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 47% Small, 31% Large #### What Do G2 Reviewers Say About Plotly Dash Enterprise? _AI-generated summary from verified user reviews_ ##### Pros - Users love the **ease of creating beautiful visualizations** with Drag-and-Drop features in Plotly Dash Enterprise. - Users love the **coding ease** of Plotly Dash Enterprise, allowing simple chart creation through drag and drop functionality. - Users value the **customer support** of Plotly Dash Enterprise, enhancing their experience with prompt and effective assistance. - Users love the **intuitive dashboard management** of Plotly Dash Enterprise, enhancing efficiency with easy visualizations and SQL support. - Users value the **ease of creating stunning visualizations** in Plotly Dash Enterprise, enhancing their data presentation experience. #### What Are Recent G2 Reviews of Plotly Dash Enterprise? **["Its the perfect Data Management"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)** **Rating:** 4.5/5.0 stars _— Maria F._ [Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270) **["Dash Dominance in Creating Interactive Web Apps for Your Data Insights"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)** **Rating:** 5.0/5.0 stars _— Uttam M._ [Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756) #### What Are G2 Users Discussing About Plotly Dash Enterprise? - [What are 3 benefits of a dashboard?](https://www.g2.com/discussions/dash-what-are-3-benefits-of-a-dashboard) - [What is the best dashboard software?](https://www.g2.com/discussions/dash-what-is-the-best-dashboard-software) - [How good is Dash?](https://www.g2.com/discussions/how-good-is-dash) - [What is the function of a dashboard?](https://www.g2.com/discussions/what-is-the-function-of-a-dashboard) ### [Qrvey](https://www.g2.com/products/qrvey/reviews) Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value. Qrvey is the only embedded analytics solution that includes an analytics layer to connect your data warehouse to your front-end analytics. Qrvey’s approach is different. By including a native data lake, you can scale personalized analytics that your customers will love. All while giving your development team the tools to ship faster and build less. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 #### How Do G2 Users Rate Qrvey? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.3/10) - **Reports Interface:** 7.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.7/10 (Category avg: 8.5/10) #### Who Is the Company Behind Qrvey? - **Seller:** [Qrvey](https://www.g2.com/sellers/qrvey) - **Year Founded:** 2016 - **HQ Location:** Tysons, Virginia - **Twitter:** @qrvey 463 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86dc7693bf9c6dc4b793fe4c04abf2fa57f4cda751eae31f9bb719b261bde64a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqrvey%2F&secure%5Burl_type%5D=linkedin_company_website) 68 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 55% Small, 38% Medium #### What Do G2 Reviewers Say About Qrvey? _AI-generated summary from verified user reviews_ ##### Pros - Users find Qrvey's **ease of use** appealing, as it simplifies analytics with a no-code visual setup. - Users appreciate the **all-in-one embedded analytics** of Qrvey, seamlessly integrating data collection, automation, and analysis. - Users value the **no-code automation** of Qrvey, streamlining their analytics processes effortlessly within a unified platform. - Users admire the **remarkable efficiency** of Qrvey, facilitating faster decision-making through comprehensive data analysis. - Users appreciate the **intuitive interface** of Qrvey, which simplifies embedding analytics and enhances data visibility effectively. ##### Cons - Users experience a challenging **learning curve** , making it difficult to efficiently master Qrvey's features and functionalities. - Users find the **complex usage** of Qrvey challenging, particularly for those with simple or small-scale needs. - Users find the **confusing pricing** of Qrvey makes budgeting and planning more challenging than expected. - Users find **customization difficult** due to the complex setup and technical knowledge required, affecting overall satisfaction. - Users find Qrvey to be **expensive** and struggle with non-transparent pricing and complex setup requirements. #### What Are Recent G2 Reviews of Qrvey? **["Empowers Decisions with Comprehensive Data Tools"](https://www.g2.com/survey_responses/qrvey-review-11978512)** **Rating:** 5.0/5.0 stars _— Antoneta Valerie B._ [Read full review](https://www.g2.com/survey_responses/qrvey-review-11978512) **["Qrvey: Deliver More Analytics with Less Engineering Effort"](https://www.g2.com/survey_responses/qrvey-review-12387542)** **Rating:** 5.0/5.0 stars _— Shabuddin G._ [Read full review](https://www.g2.com/survey_responses/qrvey-review-12387542) #### What Are G2 Users Discussing About Qrvey? - [What is Qrvey used for?](https://www.g2.com/discussions/what-is-qrvey-used-for) ### [ClicData](https://www.g2.com/products/clicdata/reviews) ClicData is a cloud-based data platform that spans multiple product categories: Business Intelligence, ETL, Data Warehousing and Data Lakehouse, Data Visualization, Embedded Analytics, and AI-assisted Analytics. It is built to support the full data lifecycle, from ingestion and storage to transformation, visualization, and distribution, within a single environment. Mid-market companies use ClicData to consolidate data workflows that would otherwise require separate tools for each stage. The platform is used across industries including retail, healthcare, media, manufacturing, and public services, by both centralized data teams and operational groups managing their own reporting needs. Our core capabilities include: - Connecting to databases, cloud applications, APIs, and flat files through a library of pre-built connectors - Storing and organizing data in an integrated data warehouse and data lake structure - Cleaning and transforming data using no-code ETL interfaces or SQL - Building dashboards and reports using a drag-and-drop editor or an AI dashboard builder that generates interactive, fully functional dashboards from plain-language prompts - Scheduling data refreshes, automating alerts, and delivering reports on defined triggers - Embedding dashboards into third-party platforms or client-facing applications - Extending analysis with Python scripts for statistical modeling or machine learning workflows For Leadership and Business Leaders ClicData provides a governed environment where data from multiple sources can be consolidated and made available across teams. It reduces dependency on ad hoc data requests by giving your team leads and operational teams direct access to up-to-date dashboards and reports. AI-assisted features support anomaly detection and automated alerting, so leadership can be notified of significant changes in key metrics without relying on manual monitoring. Scheduling and alerting features support proactive monitoring without manual intervention. For Data Practitioners Data engineers and analysts can manage the full pipeline: ingestion, transformation, modeling, and delivery without switching between tools. ClicData supports both no-code and SQL or Python-based transformation, version-controlled data flows or predictive model development. AI capabilities are accessible at the pipeline level, allowing practitioners to integrate predictive models or automated data quality checks directly into existing data flows. For Operational and Business Users Teams outside of IT can access curated dashboards, apply filters, and work with data that has already been validated upstream. AI-assisted features surface trends, forecasts, and anomalies directly within dashboards, making it possible for non-technical users to act on predictive insights without requiring analytical expertise. Embedded analytics capabilities allow organizations to surface data, including AI-generated insights, directly within the products or portals their end users already work in, without requiring those users to log into a separate BI tool. ClicData addresses the common challenge of fragmented data stacks by covering data engineering, storage, and analytics in one platform. It is suited for growing organizations looking to standardize how data is collected, managed, and consumed across different teams and functions. **Average Rating:** 4.4/5.0 **Total Reviews:** 36 #### How Do G2 Users Rate ClicData? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.3/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) #### Who Is the Company Behind ClicData? - **Seller:** [ClicData](https://www.g2.com/sellers/clicdata) - **Company Website:** www.clicdata.com - **Year Founded:** 2008 - **HQ Location:** Lille, France - **Twitter:** @ClicData 806 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=968be8f864b99591be22699041798e97c565cee1749b4d0c851d5517ed29c8dc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F278851%2F&secure%5Burl_type%5D=linkedin_company_website) 46 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Small, 32% Medium #### What Are Recent G2 Reviews of ClicData? **["Quick and simple solution to implement with a responsive and efficient helpdesk team"](https://www.g2.com/survey_responses/clicdata-review-11445571)** **Rating:** 4.5/5.0 stars _— Verified User in Restaurants_ [Read full review](https://www.g2.com/survey_responses/clicdata-review-11445571) **["Outstanding Customer Service and Communication from the ClicData Team"](https://www.g2.com/survey_responses/clicdata-review-12848126)** **Rating:** 4.0/5.0 stars _— Verified User in Primary/Secondary Education_ [Read full review](https://www.g2.com/survey_responses/clicdata-review-12848126) #### What Are G2 Users Discussing About ClicData? - [What are the benefits of business intelligence?](https://www.g2.com/discussions/clicdata-what-are-the-benefits-of-business-intelligence) - [How do I create a dashboard in ClicData?](https://www.g2.com/discussions/how-do-i-create-a-dashboard-in-clicdata) - 1 comment, 1 upvote - [Is ClicData free?](https://www.g2.com/discussions/is-clicdata-free) - 1 comment - [What is CLIC software?](https://www.g2.com/discussions/what-is-clic-software) - 1 comment ### [Vizzly](https://www.g2.com/products/vizzly/reviews) Vizzly provides a low-code solution for building customer-facing dashboards, offering the same level of flexibility as an in-house development process with minimal technical overhead required. With Vizzly, you have the capability to connect to any SQL database or API and seamlessly embed the dashboard as a React or Vue component. Since the product is highly extensible through code, you will have complete control over the product and the user experience you create. **Average Rating:** 5.0/5.0 **Total Reviews:** 13 #### How Do G2 Users Rate Vizzly? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.3/10) - **Reports Interface:** 9.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Vizzly? - **Seller:** [Vizzly](https://www.g2.com/sellers/vizzly) - **Year Founded:** 2022 - **HQ Location:** London, GB - **Twitter:** @TryVizzly 26 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e2f23505225b62d6a9168bc6a7e68a2b768946ddf22319253346d300f4df6df6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvizzlyco%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 92% Small, 8% Medium #### What Are Recent G2 Reviews of Vizzly? **["Thank you Vizzly!"](https://www.g2.com/survey_responses/vizzly-review-8286163)** **Rating:** 5.0/5.0 stars _— Ian E._ [Read full review](https://www.g2.com/survey_responses/vizzly-review-8286163) **["Embedded Analytics that Developers love"](https://www.g2.com/survey_responses/vizzly-review-8070952)** **Rating:** 5.0/5.0 stars _— Tim R._ [Read full review](https://www.g2.com/survey_responses/vizzly-review-8070952) ### [Bokeh](https://www.g2.com/products/bokeh/reviews) Bokeh is a Python based interactive visualization library. **Average Rating:** 4.4/5.0 **Total Reviews:** 38 #### How Do G2 Users Rate Bokeh? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.4/10 (Category avg: 8.3/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Bokeh? - **Seller:** [Continuum Analytics](https://www.g2.com/sellers/continuum-analytics) - **Year Founded:** 2012 - **HQ Location:** Austin, Texas - **Twitter:** @anacondainc 83,629 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=286af7826850aa0de8d5ad8520da94a1a8d774aa0fd6afbe9aefd0958bb3018b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcontinuum-analytics-inc-%2F&secure%5Burl_type%5D=linkedin_company_website) 17 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 55% Small, 28% Large #### What Are Recent G2 Reviews of Bokeh? **["This is very good charting tool and data visualization for python."](https://www.g2.com/survey_responses/bokeh-review-8184133)** **Rating:** 4.5/5.0 stars _— Shailesh M._ [Read full review](https://www.g2.com/survey_responses/bokeh-review-8184133) **["The Python charting tool you should use"](https://www.g2.com/survey_responses/bokeh-review-8140676)** **Rating:** 4.5/5.0 stars _— Anup J._ [Read full review](https://www.g2.com/survey_responses/bokeh-review-8140676) ### [OpenViz](https://www.g2.com/products/openviz/reviews) OpenViz is a collection of data visualization and data management techniques that can be integrated into any software solution. **Average Rating:** 4.1/5.0 **Total Reviews:** 17 #### How Do G2 Users Rate OpenViz? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.3/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind OpenViz? - **Seller:** [Advanced Visual Systems](https://www.g2.com/sellers/advanced-visual-systems) - **Year Founded:** 1991 - **HQ Location:** Burlington, MA - **Twitter:** @avsviz 326 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2d12b204abdc99167ea93e9086947cf3042385a6af098b41a945e5e8a816520f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fadvanced-visual-systems&secure%5Burl_type%5D=linkedin_company_website) 106 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 59% Small, 24% Medium #### What Are Recent G2 Reviews of OpenViz? **["Review for OpenViz"](https://www.g2.com/survey_responses/openviz-review-8874838)** **Rating:** 5.0/5.0 stars _— Shiva Kumar B._ [Read full review](https://www.g2.com/survey_responses/openviz-review-8874838) **["Great place to visualize the data"](https://www.g2.com/survey_responses/openviz-review-8876470)** **Rating:** 5.0/5.0 stars _— Sai Srinivas A._ [Read full review](https://www.g2.com/survey_responses/openviz-review-8876470) ### [Orcablue](https://www.g2.com/products/orcablue/reviews) Orcablue is a fast and intuitive data visualization tool designed to seamlessly embed analytics into platforms. With Orcablue, companies can provide their customers with rich, customizable analytics experiences—ranging from standard reports to fully dedicated analytics portals without waiting. Whether it’s embedding interactive dashboards or delivering detailed insights, Orcablue empowers businesses to offer impactful, real-time analytics directly within their platform with minimal effort and easy customization. **Average Rating:** 4.3/5.0 **Total Reviews:** 24 #### How Do G2 Users Rate Orcablue? - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.3/10) - **Reports Interface:** 7.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Orcablue? - **Seller:** [orcablue.ai](https://www.g2.com/sellers/orcablue-ai) - **HQ Location:** Bangalore, Karnataka - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=75c7054f0140ba00e05920db4316cbd72d779ee429d4daf3e8a50f7dcfa48272&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Forcablueai&secure%5Burl_type%5D=linkedin_company_website) 5 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 92% Small, 8% Medium #### What Do G2 Reviewers Say About Orcablue? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **responsive customer support** of Orcablue, enhancing productivity and ensuring seamless user experience. - Users value the **effortless automation** of Orcablue, streamlining data management with just a few clicks. - Users admire the **transformative power of data visualization** in Orcablue, turning static data into engaging insights effortlessly. - Users highlight the **powerful BI features** of Orcablue, praising its instant reports and automation capabilities. - Users find the **user-friendly reports and graphs** of Orcablue essential for easy data analysis and decision-making. ##### Cons - Users note a **steep learning curve** for Orcablue, making initial setup and mastery more time-consuming than expected. - Users find the **lack of real-time data analytics** frustrating, hindering effective data preparation and analysis tasks. - Users face **integration issues** with Orcablue, making initial setup and customization more challenging than expected. - Users face **technical issues** with Orcablue, including bright colors and problematic video playback on the website. - Users find **coding difficulties** arise when preparing data due to inconsistent formats and lack of real-time analytics. #### What Are Recent G2 Reviews of Orcablue? **["Review about Orcablue"](https://www.g2.com/survey_responses/orcablue-review-8760631)** **Rating:** 5.0/5.0 stars _— Verified User in Utilities_ [Read full review](https://www.g2.com/survey_responses/orcablue-review-8760631) **["Easy, Affordable Business and Office Supplies"](https://www.g2.com/survey_responses/orcablue-review-8770090)** **Rating:** 4.5/5.0 stars _— Verified User in Individual & Family Services_ [Read full review](https://www.g2.com/survey_responses/orcablue-review-8770090) ### [ZoomCharts](https://www.g2.com/products/zoomcharts/reviews) Create complex and interactive data visualizations with minimal input and development time by using a ready-to-go javascript charts library. **Average Rating:** 4.1/5.0 **Total Reviews:** 39 #### How Do G2 Users Rate ZoomCharts? - **Has the product been a good partner in doing business?:** 7.6/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.6/10 (Category avg: 8.3/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind ZoomCharts? - **Seller:** [Data Visualization Software Lab](https://www.g2.com/sellers/data-visualization-software-lab) - **Year Founded:** 2013 - **HQ Location:** Riga, Latvia - **Twitter:** @ZoomCharts 1,400 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cc8670f6fd0fb58bbf1518b4f7c33a7f7d7825741ebf231a588ea3befe299d35&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fzoomcharts%2F&secure%5Burl_type%5D=linkedin_company_website) 27 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 44% Small, 31% Large #### What Are Recent G2 Reviews of ZoomCharts? **["Data Visualization Made Interactive and Intuitive"](https://www.g2.com/survey_responses/zoomcharts-review-7622450)** **Rating:** 4.5/5.0 stars _— Praneeth S._ [Read full review](https://www.g2.com/survey_responses/zoomcharts-review-7622450) **["It is an interactive visualization software"](https://www.g2.com/survey_responses/zoomcharts-review-8032689)** **Rating:** 4.0/5.0 stars _— Kapil M._ [Read full review](https://www.g2.com/survey_responses/zoomcharts-review-8032689) - [‹ Prev‹ Prev](/categories/embedded-business-intelligence/small-business?order=g2_score&page=2#product-list) - [1](/categories/embedded-business-intelligence/small-business?order=g2_score#product-list) - [2](/categories/embedded-business-intelligence/small-business?order=g2_score&page=2#product-list) - 3 - Next ›Next › Spotlight Categories [Quality Management Systems (QMS)](https://www.g2.com/categories/quality-management-qms) [Demand Side Platform (DSP)](https://www.g2.com/categories/demand-side-platform-dsp) [ERP Systems](https://www.g2.com/categories/erp-systems) [Communication Platform as a Service (cPaaS) Platforms](https://www.g2.com/categories/communication-platform-as-a-service) [Demo Automation Software](https://www.g2.com/categories/demo-automation) Similar Categories - [Data Visualization](/categories/data-visualization-tools) - [Location Intelligence](/categories/location-intelligence) - [Semantic Layer Tools](/categories/semantic-layer-tools) [Browse Embedded Business Intelligence Themes](/categories/embedded-business-intelligence/themes) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated Products classified in the overall Embedded Business Intelligence category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Embedded Business Intelligence to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Embedded Business Intelligence category. In addition to qualifying for inclusion in the Embedded Business Intelligence Software category, to qualify for inclusion in the Small Business Embedded Business Intelligence Software category, a product must have at least 10 reviews left by a reviewer from a small business. Show More * * * ## How Do You Choose the Right Embedded Business Intelligence Software? ### What You Should Know About Embedded Business Intelligence Software ### What is Embedded Business Intelligence Software? Embedded business intelligence (BI) software, also known as embedded analysis software, gives users self-service analytics capabilities within business applications. Software developers use embedded business intelligence tools to build analytics into business applications, giving users access to analytics without relying on third party BI consultants or customer support. The software in this category makes it easy to house analytics inside a specific application. Additionally, some embedded business intelligence platforms provide businesses with embedded dashboards; this allows employees easy access to relevant analysis. While these tools may be sold to enterprise companies for internal systems such as [HR](https://www.g2.com/categories/hr) or [ERP systems](https://www.g2.com/categories/erp-systems), they are usually sold to other software companies who integrate them in existing software to give the software embedded business intelligence capabilities. Key Benefits of Embedded Business Intelligence Software - Empower users to access data during daily workflow without exiting their current application - Allow users to [transform data](https://www.g2.com/categories/embedded-business-intelligence/f/data-transformation) into a useful and relatable model embedded within a business application - [Create reports](https://www.g2.com/categories/embedded-business-intelligence/f/reports-interface), dashboards, and visualizations ### Why Use Embedded Business Intelligence Software? Business applications produce vast amounts of data which can be very useful for end users. Traditionally, business users that wanted to extract and analyze data would use business intelligence platforms; they would need to extract the data from the application and upload it to the platform. Embedded business intelligence is an alternative approach where users can access analytics from within the user interface of the given application, and it points to one of the top reasons software engineers adopt embedded business intelligence after rollout: faster access to data without leaving their existing workflow. Embedded business intelligence provide users with interactive visual dashboards and reporting functionality within the actual business application. - Engaged users — Incorporating embedded business intelligence into applications results in higher productivity for end users, since they can access data and analytics within the application they are using. - Improved efficiency — Companies are seeing a decline in ad hoc analytics requests when embedded business intelligence is deployed. - Better applications — Users spend more time using applications when they are enhanced with embedded business intelligence, this leads to enhanced productivity and better deployment of the applications. ### Who Uses Embedded Business Intelligence Software? Analytics is no longer out of reach for the everyday employee. Thanks to self-service analytics and embedded business intelligence, data analysis is open to many, and insights can be drawn from data by anyone with basic software capabilities. However, there are still specific positions that utilize this software more than others. - Software developers — Developers that want to create the next generation of products and services can use embedded business intelligence to build analytics capabilities into their applications, including custom reports and dashboards. - Business users — Analytics can be at the business user’s fingertips, allowing them to understand the data. The user-friendly designs of this software are especially helpful for users at smaller companies where this type of analysis is a small facet of a user’s job. - Business analysts — These tools give business analysts the ability to create custom dashboards and reports that serve a variety of stakeholders. These platforms empower analysts to stay up to date on their rapidly changing markets. - Data engineers — With embedded business intelligence, data engineers can focus on pulling data from disparate sources, furthering their ability to build analytics apps, widgets, and dashboards for business users. Based on G2 reviews, adoption patterns for embedded business intelligence differ by role: software engineers and business analysts receive the most attention, but sales teams are mentioned most often for post-rollout value, replacing hours of manual pipeline prep with a single live dashboard. Each sticks around for a different reason: fewer ad hoc reporting requests, dashboards they can adjust without a developer ticket, or no more rebuilding the same numbers by hand. ### Kinds of Embedded Business Intelligence Software There are two areas where embedded business intelligence software are typically used, externally and internally. In both cases, analytics capabilities are built into business applications, the only difference is the end user. - External embedding — Embeds analytics into customer-facing applications to make them more useful, allowing users to understand the data they are viewing or creating. An example of external embedding would be a mobile app development company that builds a portal for clients to access analytics related to their mobile applications. - Internal embedding — Integrates reports and dashboards into tools a business’s employees use, allowing them to garner insights into their data from a wide range of sources and formats. An example of internal embedding would be a company’s IT department that develops and manages applications used by internal stakeholders and partners to understand internal company data, such as sales and marketing metrics. ### Embedded Business Intelligence Software Features Based on G2 reviews, business users and data engineers evaluate embedded business intelligence software by comparing ease of use, integration with existing data sources, and dashboard-level permission controls. The following features are found in most embedded business intelligence software. - Integratable — When embedded business intelligence capabilities are integrated in a business application, users can access dashboards, visualizations, and reports. - White labeling — Embedded business intelligence software give developers the ability to white label and seamlessly integrate analytics to match the look and feel of of any given application. - Visualizations and reporting — Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage. - [Data modeling](https://www.g2.com/categories/embedded-business-intelligence/f/data-modeling) — Support self-service data modeling, blending, and [discovery processes](https://www.g2.com/categories/embedded-business-intelligence/f/data-discovery). These advanced analytics capabilities allows the user to get a high-level view of the data and understand it well. Other features of embedded business intelligence software: [Automodeling](https://www.g2.com/categories/embedded-business-intelligence/f/automodeling), [Collaboration & Workflow](https://www.g2.com/categories/embedded-business-intelligence/f/collaboration-workflow), and [Search Capabilities](https://www.g2.com/categories/embedded-business-intelligence/f/search). ### Trends Related to Embedded Business Intelligence Software Data and data analytics are no confined to IT departments and data experts. The rise in self-service analytics platforms coupled with artificial intelligence (AI) has led to an advance in embedded business intelligence. Features of these products allow users to query data using [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) and platforms that allow users to dig into their data using AI and [machine learning software](https://www.g2.com/categories/machine-learning). Conversational interface — Users can uncover deeper answers to questions about data using intuitive language such as “how were sales this week" or “who was the highest-performing employee this month." Intuitive methods of querying data means a larger user base that can access and make sense of complex analytics. AI-powered insights — End users can discover hidden insights with the power of machine learning. This technology can make sense of data for users and help them understand what they are seeing. ### Potential Issues with Embedded Business Intelligence Software Where the product lives — There are a few considerations to make when buying embedded business intelligence software. It may require lots of work by a skilled development team or vendor support staff to embed the business intelligence tool, especially if the data is particularly messy. Some data might not be compatible with different products. Additionally, embedded software still offers self-service qualities that vary in levels of difficulty. Plan for adoption — At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption. Time to market — As with any software implementation, it’s important to think about how long it will take to implement. It’s important to consider related software that a company might need, such as [data integration software](https://www.g2.com/categories/data-integration). Data security — Don’t make data security an afterthought. Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform. ### Software and Services Related to Embedded Business Intelligence Software The following solutions can be used in conjunction with the products in this category to make the most comprehensive reports possible. [Application development software](https://www.g2.com/categories/application-development) — Embedded business intelligence tools differ from development tools in terms of how easy they integrate within different applications. Developers typically use some sort of [application development software](https://www.g2.com/categories/application-development), such as [mobile development software](https://www.g2.com/categories/mobile-development) or [rapid application development (RAD) software](https://www.g2.com/categories/rapid-application-development-rad), to leverage templated infrastructure. [Business intelligence platforms](https://www.g2.com/categories/business-intelligence) — Embedded business intelligence is not always the right solution for a business problem. Sometimes, it makes more sense to start by using a stand-alone analytics platform. Many of these platforms are self-service, which means they are user-friendly and helps anyone who wants to better understand data. [Database software](https://www.g2.com/categories/database-software) — There are a plethora of solutions for storing, organizing, and sharing large amounts of data to later be accessed and analyzed by analytics tools. Products in this parent category include everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases software](https://www.g2.com/categories/relational-databases). Each business has a unique set of metrics tied to their operation, products, and clientele. Businesses should research and implement database solutions to find the one that makes the most sense for their data types and analytical needs. When considering an embedded business intelligence solution, users should investigate which databases can integrate with their tool and make the most logical product choice for their particular situation. These analytics products don’t serve much purpose without the ability to pull data from an existing company database. [Sales analytics software](https://www.g2.com/categories/sales-analytics) — When seeking to refine and optimize sales efforts, companies might require more focused insights than those offered with standard embedded business intelligence technology. Sales analytics software identifies strengths, weaknesses, and other detailed analysis of sales departments and individual salespeople. Improving sales processes helps bolster a business from all angles while contributing to a business intelligence strategy. Some companies might consider [marketing analytics software](https://www.g2.com/categories/marketing-analytics) for a big picture perspective of overall marketing efforts. ### Embedded Business Intelligence FAQs ### Most Popular FAQs #### Which embedded business intelligence software has the best reviews? Across the [Embedded Business Intelligence](https://www.g2.com/categories/embedded-business-intelligence) category, the most trusted embedded business intelligence tools, per user reviews, tend to be smaller, integration-focused platforms rather than the largest legacy suites. Buyers consistently reward fast implementation and responsive support over sheer feature breadth. - [Reveal](https://www.g2.com/products/reveal-2022-05-24/reviews): Embeddable analytics platform built for .NET and JavaScript teams that need fast, no-code dashboard embedding inside custom applications. - [Bold BI](https://www.g2.com/products/bold-bi/reviews): White-label BI and dashboard platform designed for multi-tenant embedding directly into SaaS products. - [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews): Enterprise analytics and mobile BI platform built for governed reporting at large scale. - [Embeddable](https://www.g2.com/products/embeddable/reviews): Developer-first embedded analytics toolkit built for fully custom, code-level dashboard embedding. #### What are the best embedded cloud-native business intelligence tools? The strongest cloud-native options are the platforms built from the ground up to run against a cloud data warehouse rather than retrofitted from on-premise architecture. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews): Cloud-native BI platform that lets business users explore warehouse-scale data through a familiar, spreadsheet-style interface. - [Hex](https://www.g2.com/products/hex-tech-hex/reviews): Cloud notebook-based analytics platform used by data teams for collaborative, code-and-no-code reporting. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): Governed, API-first analytics platform purpose-built for embedding multi-tenant dashboards at scale. - [Looker](https://www.g2.com/products/looker/reviews): Google Cloud's modeling-layer BI platform, built around LookML for consistent, governed metrics across an organization. #### Which embedded BI solution is best for real-time analytics? For live, frequently refreshed data, buyers most often point to platforms known for fast query performance and streaming-friendly connections rather than static, scheduled reporting. - [Tableau](https://www.g2.com/products/tableau/reviews): Widely adopted visual analytics platform known for drag-and-drop dashboards with fast, ad hoc data refresh. - [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews): Embeddable reporting and BI engine frequently used by ISVs to add live, pixel-perfect reports into applications. - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews): Search- and AI-driven analytics platform that returns live answers to natural-language questions. - [Domo](https://www.g2.com/products/domo/reviews): Cloud BI platform combining data integration and visualization for continuously updating dashboards. #### Which embedded BI tool offers the most customization? The most customizable tools give developers direct control over layout, branding, and interaction logic, rather than locking teams into a fixed dashboard template. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews): Embedded analytics platform built for flexible, brandable dashboard embedding with automated insights. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Enterprise BI suite offering AI-assisted, highly configurable reporting and forecasting. - [Sisense](https://www.g2.com/products/sisense/reviews): API-first analytics platform designed specifically for embedding contextual, custom-styled analytics inside other applications. - [Astrato](https://www.g2.com/products/astrato/reviews): Cloud-native BI platform offering live, writeback-enabled dashboards that can be tailored to specific workflows. #### What is the difference between embedded analytics and business intelligence? Business intelligence is the broader discipline of collecting, modeling, and analyzing data to guide decisions, typically delivered through a standalone tool that an analyst opens as its own destination. Embedded analytics is one delivery model for that same discipline. It places dashboards, reports, or ad hoc query capability directly inside another application, so an end user gets insights without ever leaving their normal workflow. In practice, the underlying analytics engine is often similar; what changes is who uses it (analysts vs. end users) and where it lives (a dedicated BI tool vs. inside the product itself). #### What are the most intuitive embedded business intelligence platforms? Based on G2 reviews, these platforms come up most often when reviewers specifically call out ease of use and intuitive design. - [Tableau](https://www.g2.com/products/tableau/reviews): Reviewers consistently describe its drag-and-drop interface as intuitive enough to move from raw data to a working dashboard within minutes, even without a technical background. - [Metabase](https://www.g2.com/products/metabase/reviews): Praised for letting both technical and non-technical users build dashboards with a minimal learning curve, thanks to a simple visual query builder alongside its SQL editor. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): Reviewers highlight an intuitive, executive-ready dashboard experience, helped along by AI-generated visualization suggestions that simplify report building for less technical users. - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews): Its natural-language search lets users find answers about as easily as running a web search, so new hires can start querying data without learning the underlying schema first. #### What is the most popular embedded business intelligence software for dashboards with user permissions? These platforms are most frequently mentioned for building access control directly into dashboards and the data layer beneath them. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): Its workspace label access control automatically isolates each customer's data and enforces permissions based on who is logged in, which reviewers call out specifically for multi-tenant, customer-facing dashboards. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews): Every dashboard inherits row-level security and permissions directly from the underlying cloud data warehouse, so access rules don't need to be rebuilt inside the BI layer itself. - [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews): Reviewers highlight its multi-tenant architecture, where each organization gets an isolated context, permission set, and report repository, with role mapping that can be driven directly from SSO. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Built around governed, role-based access controls that reviewers say suit regulated, multi-department environments where administrators need fine control over who sees what. ### Small Business FAQs #### What is the most affordable embedded BI for SMBs? Within the [small business segment of Embedded Business Intelligence](https://www.g2.com/categories/embedded-business-intelligence/small-business), the best price-to-value ratings tend to go to lighter, self-serve platforms rather than enterprise-priced suites. - [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews): A self-service BI and reporting tool aimed at small and mid-sized teams that need dashboards up quickly without a large budget. - [Toucan](https://www.g2.com/products/toucan/reviews): Embedded analytics platform focused on simple, story-driven dashboards for non-technical end users. - [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews): Oracle's cloud BI platform combining data prep, visualization, and machine-learning-driven insights. - [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews): Open-core embedded reporting engine often chosen for its lower cost of entry relative to full enterprise BI suites. #### What is the best embedded BI for startups? Startups evaluating [small business embedded BI](https://www.g2.com/categories/embedded-business-intelligence/small-business) tend to favor platforms that are fast to stand up with a lean team, since implementation speed usually matters more than deep enterprise governance at this stage. - [Hex](https://www.g2.com/products/hex-tech-hex/reviews): Cloud notebook-based analytics platform that lets small technical teams move quickly from data exploration to shareable reporting. - [Domo](https://www.g2.com/products/domo/reviews): Low-code cloud BI platform that bundles data integration and visualization for teams without a dedicated data engineering function. - [Flexmonster Pivot Table & Charts Component](https://www.g2.com/products/flexmonster-pivot-table-charts-component/reviews): Lightweight JavaScript pivot table and charting component for embedding interactive data grids without a heavy backend lift. - [Bold Reports](https://www.g2.com/products/bold-reports/reviews): Embeddable reporting platform built for pixel-perfect, scheduled report generation with a fast setup path. #### Which embedded BI is the most user-friendly for startups? Ease of use matters most for startups without a dedicated analytics hire, and the tools that score best here tend to minimize the learning curve between signing up and shipping a first dashboard. - [Luzmo](https://www.g2.com/products/luzmo/reviews): Embedded analytics platform built for SaaS teams to add white-labeled dashboards with minimal engineering effort. - [Tableau](https://www.g2.com/products/tableau/reviews): Visual analytics platform known for an intuitive, drag-and-drop interface that doesn't require SQL fluency to get started. - [Metabase](https://www.g2.com/products/metabase/reviews): Open-source BI tool popular for simple setup and self-service query building without a steep onboarding curve. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Enterprise BI suite whose AI-assisted authoring tools simplify report building for less technical users. #### Which embedded BI tool is easiest to set up for small teams? Setup speed is one of the most differentiated ratings in this category, and small teams generally do best with platforms that skip lengthy data-modeling phases in favor of near-immediate embedding. - [Bold Reports](https://www.g2.com/products/bold-reports/reviews): Embeddable reporting platform designed for a quick path from installation to a first published report. - [Hex](https://www.g2.com/products/hex-tech-hex/reviews): Cloud notebook-based analytics platform that connects to common data sources with minimal configuration. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews): Cloud-native BI platform that connects directly to a data warehouse without a separate modeling layer to build first. - [Metabase](https://www.g2.com/products/metabase/reviews): Open-source BI tool that can be self-hosted or spun up in the cloud in a short amount of time. #### What is the best embedded BI tool for SaaS startups? For software companies embedding analytics into their own product, the strongest [small business](https://www.g2.com/categories/embedded-business-intelligence/small-business) options tend to be platforms with mature multi-tenant and white-labeling support. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews): Embedded analytics platform built for flexible, brandable dashboard embedding inside a host application. - [Bold BI](https://www.g2.com/products/bold-bi/reviews): White-label BI and dashboard platform designed specifically for multi-tenant embedding into SaaS products. - [Looker](https://www.g2.com/products/looker/reviews): Modeling-layer BI platform that gives SaaS teams a consistent metrics layer to embed across customer-facing dashboards. - [Tableau](https://www.g2.com/products/tableau/reviews): Visual analytics platform with embedding APIs that let SaaS teams surface interactive dashboards inside their own UI. ### Enterprise FAQs #### What is best-rated embedded BI for tech enterprises? Among reviewers at large technology and software companies within the [Enterprise segment of Embedded Business Intelligence](https://www.g2.com/categories/embedded-business-intelligence/enterprise), ratings tend to favor platforms with strong data-source flexibility and API depth. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews): Embedded analytics platform combining automated insights with flexible, brandable dashboard embedding. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): Governed, API-first analytics platform built for embedding multi-tenant dashboards at enterprise scale. - [Tableau](https://www.g2.com/products/tableau/reviews): Visual analytics platform with broad data connectivity suited to large, heterogeneous tech stacks. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Enterprise BI suite offering AI-assisted reporting, forecasting, and governed self-service analytics. #### What is the most reliable embedded BI tool for enterprises? Reliability at enterprise scale tends to track closely with support quality and administrative control, since large organizations need predictable uptime and responsive vendor support more than any single feature. - [Hex](https://www.g2.com/products/hex-tech-hex/reviews): Cloud notebook-based analytics platform noted by enterprise reviewers for consistent performance and support responsiveness. - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews): Search- and AI-driven analytics platform built to handle high query volumes across large data sets. - [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews): Embeddable reporting and BI engine with mature administrative controls for large deployments. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Enterprise BI suite built around governed administration and long-term platform stability. #### What is best-reviewed embedded BI for enterprise app integration? Enterprise app integration is where API depth and connector maturity matter most, and reviewers give the strongest marks to platforms built to slot into existing enterprise application ecosystems. - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews): Search- and AI-driven analytics platform with APIs built for embedding natural-language search into other applications. - [Looker](https://www.g2.com/products/looker/reviews): Modeling-layer BI platform known for its clean integration path into existing data and application stacks. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews): Embedded analytics platform designed for flexible integration into third-party applications. - [Tableau](https://www.g2.com/products/tableau/reviews): Visual analytics platform with mature embedding APIs used widely across enterprise application integrations. #### Which embedded BI tool offers the best scalability for enterprise deployments? Scalability at the enterprise level usually comes down to how well a platform handles growing data volumes and concurrent users without a corresponding drop in performance. - [Sisense](https://www.g2.com/products/sisense/reviews): API-first analytics platform built specifically to scale embedded analytics across large, multi-application deployments. - [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews): AWS's serverless, pay-per-session BI service built to scale embedded analytics on cloud-native infrastructure. - [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews): Enterprise analytics platform with a long track record supporting large-scale, governed BI deployments. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): API-first analytics platform designed to support high volumes of embedded, multi-tenant dashboards. #### What is the most secure embedded BI platform for enterprise compliance? Compliance-focused buyers tend to favor platforms with mature single sign-on, role-based access, and audit support built in from the start rather than added on later. - [Domo](https://www.g2.com/products/domo/reviews): Cloud BI platform with governance controls built for organizations managing sensitive, regulated data. - [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews): Governed, API-first analytics platform built around role-based access and enterprise-grade data controls. - [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews): Embeddable reporting engine with granular permissioning suited to regulated environments. - [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews): Enterprise BI suite built with the governance and access controls large, regulated organizations expect. _Researched and written by_ [_Matthew Miller_](https://research.g2.com/insights/author/matthew-miller)