# Best Embedded Business Intelligence Software for Small Business - Page 2 ## 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 26, 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** ### Huwise Huwise is a SaaS data product marketplace developed by a French company based in Paris, with over 15 years of experience. Recognized as a leading European player in data marketplace solutions by independent analyst firms, Huwise powers more than 3,000 data marketplaces across 25 countries. The platform is widely adopted across key industries including Banking & Insurance, Utilities and Energy, Transportation, Retail, Manufacturing and Central & Local Government. Huwise is a leading data product marketplace designed to transform raw data into AI-ready, business-ready data products. Unlike traditional data catalogs that primarily focus on metadata management and data discovery, Huwise actively drives data usage across organizations by converting data into actionable products. The platform is designed for business users, data product owners, data teams, and AI agents, providing a self-service, e-commerce-like experience that makes data more accessible, understandable, and usable across the organization. By enabling secure, governed, and scalable access to trusted data products, Huwise helps Chief Data Officers (CDOs) and Chief Data & AI Officers (CDAIOs) accelerate their data governance strategy, increase data adoption, and maximize the business impact of data and AI initiatives. Targeted at organizations seeking to enhance their data utilization, Huwise stands apart from conventional data platforms such as data lakes and cloud data warehouses. While these technologies are primarily focused on storing and processing large volumes of raw data, Huwise operates on top of the data stack to activate and distribute data. It ensures that data is not only understandable but also governed and directly usable throughout the organization. By complementing existing data catalog solutions, Huwise offers a business-facing access layer that integrates with raw, curated and certified data products, leveraging existing metadata and governance frameworks. The platform is built on data product principles, enabling organizations to publish and manage trusted, ready-to-use data products. Huwise facilitates self-service access to data without the need for technical expertise, ensuring that governance, security, and traceability are maintained across all data usage. Furthermore, it promotes data adoption through collaboration, feedback, and usage analytics, which are essential for driving engagement and maximizing the value of data within the organization. Huwise accelerates AI and analytics use cases by providing high-quality, contextualized data that enhances decision-making processes. Huwise also plays a crucial role in modern data architectures by supporting both the semantic layer and the emerging context layer. The semantic layer standardizes data definitions into business-friendly terms, while the context layer enriches this foundation with usage intelligence, lineage, governance, and real business interactions. This dual-layer approach enables both humans and AI to interpret and trust data accurately, reducing risks associated with misinterpretation or bias. As organizations increasingly adopt data mesh, data product strategies, and AI-driven operations, Huwise offers a modern approach for data sharing that is dedicated to drive data value and enhance business performance. It offers a data marketplace platform that not only organizes data but also activates it to deliver measurable business value. For companies aiming to maximize the potential of their data ecosystem, Huwise provides a future-proof, interoperable layer that bridges storage, governance, and consumption, ultimately accelerating data adoption and AI success at scale. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=622&secure%5Bchosen_at%5D=2026-07-27T20%3A39%3A16Z&secure%5Bdisplayable_resource_id%5D=208&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=208&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=82788&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%3D2&secure%5Btoken%5D=7c1b2c16da0a3bc2cb04045ef2ce7792bf53c9150909046dd4803375208de58e&secure%5Burl%5D=https%3A%2F%2Fwww.huwise.com%2F&secure%5Burl_type%5D=company_website) ### [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews) 🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Built for complex enterprises, it unifies business intelligence, advanced analytics, and governed data modeling into a single, open platform. With native AI-powered workflows, pixel-perfect dashboards, modern self-service tools, and seamless integrations with Excel, Power BI, and Tableau, Strategy One delivers trusted insights wherever decisions are made. Why Strategy One? Unlike fragmented BI stacks or limited legacy tools, Strategy One provides an end-to-end platform with one trusted semantic core. Business users get governed self-service. Analysts get powerful modeling tools. Executives get real-time answers they can trust. And IT retains full control over data access, definitions, and lineage. Whether you’re creating executive dashboards, deploying embedded analytics, scaling AI copilots, or consolidating BI tools—Strategy One meets the moment with: ✅ Cloud-native architecture ✅ Open integrations with 200+ data sources ✅ Enterprise-grade security and governance ✅ Industry-leading performance and scale ✅ Built-in support for AI copilots, agents, and models Strategy One is trusted by global enterprises in banking, retail, healthcare, and government to turn data into decisions—fast, securely, and at scale. **Average Rating:** 4.2/5.0 **Total Reviews:** 529 #### How Do G2 Users Rate Strategy One (formerly MicroStrategy ONE)? - **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.5/10 (Category avg: 8.3/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) #### Who Is the Company Behind Strategy One (formerly MicroStrategy ONE)? - **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy) - **Company Website:** https://www.strategy.com/software - **Year Founded:** 1989 - **HQ Location:** Tysons Corner, VA - **Twitter:** @MicroStrategy (303,456 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/strategy/ (3,457 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Business Intelligence Developer, Manager - **Top Industries:** Retail, Financial Services - **Company Size:** 62% Large, 29% Medium #### What Do G2 Reviewers Say About Strategy One (formerly MicroStrategy ONE)? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** in Strategy One, facilitating quick access to insights and effective data management. - Users admire the **ongoing commitment to innovation** in Strategy One, ensuring it consistently stays ahead of competitors. - Users appreciate the **easy setup** of Strategy One, facilitating quick access and efficient data management from the start. - Users appreciate the **customization options** in Strategy One, enabling tailored applications and efficient data analysis. - Users love the **flexible dashboard customization** that simplifies data analysis and enhances reporting capabilities. ##### Cons - Users find the **learning difficulty** significant, as the software's complexity can be overwhelming for both technical and end users. - Users find the **steep learning curve** of Strategy One challenging, although improvements are being made for easier navigation. - Users find the **absence of essential features** in Strategy One, especially integration with tools like Copilot, frustrating. - Users often find the **complex usage** of Strategy One overwhelming, facing a steep learning curve and integration challenges. - Users face **access restrictions** due to the need for an enterprise version, limiting broader availability and customization. #### What Are Recent G2 Reviews of Strategy One (formerly MicroStrategy ONE)? **["Scalable, Enterprise-Ready BI with Strong Governance and Reliable Performance"](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962)** **Rating:** 5.0/5.0 stars _— Carlos G._ [Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962) **["Empowers Data Accessibility, with Minor Transition Hiccups"](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688)** **Rating:** 4.0/5.0 stars _— Van V. T._ [Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688) ### [Toucan](https://www.g2.com/products/toucan/reviews) Toucan is an AI-embedded analytics platform designed to assist independent software vendors (ISVs) and SaaS companies in integrating advanced analytics features directly into their products, eliminating the need for building these capabilities from the ground up. This platform is tailored specifically for customer-facing applications, meaning that the end users are the clients of these companies rather than internal analysts. By enabling product and operations teams to configure and deploy analytics features independently, Toucan streamlines the development process and reduces reliance on data engineering resources. The target audience for Toucan primarily includes ISVs and SaaS companies across various industries, such as fintech, HR tech, and marketing technology. These organizations often seek to enhance their product offerings with sophisticated analytics capabilities that provide value to their users. With Toucan, product teams can quickly implement features that allow end users to interact with data in meaningful ways. This is particularly beneficial for companies looking to differentiate themselves in competitive markets by offering robust analytics without the lengthy development cycles typically associated with such features. Toucan's key capabilities include conversational AI analytics, which empowers end users to pose questions in natural language and receive instant data visualizations. This feature is anchored in a governed semantic layer, ensuring that the insights provided are consistent and reliable. Additionally, the platform offers automatic dashboard generation through AI, allowing users to customize layouts, colors, and metrics without requiring technical expertise. The white-label, multi-tenant embedding options ensure that analytics seamlessly integrate into existing products, creating a native experience for users. Security and compliance are paramount in today's data-driven landscape, and Toucan addresses these concerns with row-level security and granular permissions. This ensures that each end user only accesses their specific data, making it suitable for regulated industries where data privacy is critical. Furthermore, Toucan supports connections to modern data infrastructures, such as PostgreSQL, MySQL, and AWS Redshift, and offers both SaaS and self-hosted deployment options to meet various organizational needs. The platform's no-code builder is a standout feature, enabling product and operations teams to create, edit, and publish dashboards without any coding knowledge. This capability significantly reduces dashboard development time—by up to two-thirds compared to traditional in-house builds—allowing ISVs to launch reporting modules in days instead of months. By embedding analytics as a premium feature, organizations can also create new revenue streams, enhancing their overall product value while minimizing additional development overhead. With over 350 clients already leveraging its capabilities, Toucan is positioned as a powerful solution for companies looking to enhance their analytics offerings. **Average Rating:** 4.7/5.0 **Total Reviews:** 179 #### How Do G2 Users Rate Toucan? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) #### Who Is the Company Behind Toucan? - **Seller:** [Toucan Toco](https://www.g2.com/sellers/toucan-toco) - **Year Founded:** 2015 - **HQ Location:** Boston, Massachusetts - **Twitter:** @Toucan\_Toco (2,402 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3661933/ (76 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Data Analyst - **Top Industries:** Computer Software, Banking - **Company Size:** 43% Small, 30% Medium #### What Do G2 Reviewers Say About Toucan? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Toucan, praising its intuitive interface and seamless integration capabilities. - Users benefit from **easy integrations** with various data sources, enhancing their analytical capabilities seamlessly. - Users appreciate the **intuitive data visualizations** of Toucan, making it easy for everyone to create insights effortlessly. - Users value the **seamless integrations** of Toucan, effectively connecting diverse data sources for insightful dashboard creations. - Users appreciate the **no-code dashboard creation** in Toucan, enhancing accessibility and integration capabilities for effective data visualization. ##### Cons - Users find the **UI complexity** of Toucan challenging, especially for new users trying to navigate the tool. - Users often find the **complex usage** of Toucan challenging, especially when trying to navigate its features independently. - Users find the **learning curve steep** for Toucan, citing navigation difficulties and the complex UI for newcomers. - Users note the **limited customization** options in Toucan, which sometimes restrict their desired data presentation flexibility. - Users face **occasional bugs** in Toucan that lead to higher maintenance costs and additional learning for technical development. #### What Are Recent G2 Reviews of Toucan? **["The game-changer to turn our data into actionable insights"](https://www.g2.com/survey_responses/toucan-review-10931373)** **Rating:** 5.0/5.0 stars _— Robin C._ [Read full review](https://www.g2.com/survey_responses/toucan-review-10931373) **["An Amazing Tool For Embedded Business Intelligence"](https://www.g2.com/survey_responses/toucan-review-12302095)** **Rating:** 4.5/5.0 stars _— Felice C._ [Read full review](https://www.g2.com/survey_responses/toucan-review-12302095) ### [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](-%09https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D) **Average Rating:** 4.4/5.0 **Total Reviews:** 763 #### How Do G2 Users Rate Qlik Sense? - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.3/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) #### Who Is the Company Behind Qlik Sense? - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 #### Who Uses This Product? - **Who Uses This:** Consultant, Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Large, 41% Medium #### What Do G2 Reviewers Say About Qlik Sense? _AI-generated summary from verified user reviews_ ##### Pros - Users commend the **ease of use** of Qlik Sense, appreciating its user-friendly interface and seamless data integration. - Users value the **robust data visualization capabilities** in Qlik Sense, enhancing insight generation from diverse data sources. - Users value the **rapid development capabilities** of Qlik Sense, enabling quick creation of insightful analytics applications. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and facilitating data integration effortlessly. - Users praise the **versatile tools** of Qlik Sense, enabling effective data integration and insightful analytics at all levels. ##### Cons - Users note the **limited features** of Qlik Sense, particularly regarding custom visuals and dashboard development ease. - Users miss the **ability to add personal objects** and static report features in Qlik Sense SaaS compared to on-premise. - Users find Qlik Sense to be **expensive** , which affects its accessibility and overall value for data analytics. - Users are frustrated with **manual data management tasks** , wishing for more automation and better data organization in Qlik Sense. - Using Qlik Sense involves a steep **learning curve** , making it challenging for beginners to utilize effectively. #### What Are Recent G2 Reviews of Qlik Sense? **["Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model"](https://www.g2.com/survey_responses/qlik-sense-review-12963425)** **Rating:** 4.5/5.0 stars _— Suman K._ [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425) **["Visually Stunning, Excel-Like Ease on Web"](https://www.g2.com/survey_responses/qlik-sense-review-12727600)** **Rating:** 4.0/5.0 stars _— Adnan J._ [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600) ### [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews) Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. **Average Rating:** 4.2/5.0 **Total Reviews:** 281 #### How Do G2 Users Rate Zoho Analytics? - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.3/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Zoho Analytics? - **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Year Founded:** 1996 - **HQ Location:** Austin, TX - **Twitter:** @Zoho (137,880 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,766 employees on LinkedIn®) - **Phone:** +1 (888) 900-9646 #### Who Uses This Product? - **Who Uses This:** Director, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small, 43% Medium #### What Do G2 Reviewers Say About Zoho Analytics? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Zoho Analytics, benefiting from intuitive interfaces and customizable dashboards. - Users appreciate the **intuitive interface** of Zoho Analytics, allowing for easy data visualization and customizable reports. - Users commend the **seamless integrations** of Zoho Analytics, allowing easy data consolidation across various Zoho platforms. - Users appreciate the **intuitive and customizable dashboards** of Zoho Analytics, enhancing their data visualization experience. - Users value the **data visualization tools** in Zoho Analytics, enabling effective decision-making with visually appealing reports. ##### Cons - Users face a **steep learning curve** with Zoho Analytics, which can be overwhelming for beginners and hinders productivity. - Users find **limited customization options** in Zoho Analytics, hindering their ability to tailor the tool effectively. - Users report a **clunky data integration process** that complicates connecting multiple sources and reviewing long-term trends. - Users find **integration issues** with Zoho Analytics, making data connections difficult and requiring frequent manual checks. - Users feel that Zoho Analytics has **missing features** compared to competitors, limiting flexibility and customization options. #### What Are Recent G2 Reviews of Zoho Analytics? **["Excellent Reporting with Zoho Analytics and Zoho Books Sync"](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)** **Rating:** 5.0/5.0 stars _— Abhinandan J._ [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12722454) **["A Powerful, Data-Driven Dashboard Tool with Easy Multi-App Integration"](https://www.g2.com/survey_responses/zoho-analytics-review-12870240)** **Rating:** 5.0/5.0 stars _— Arpit S._ [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12870240) ### [Cube](https://www.g2.com/products/cube-2023-07-31/reviews) Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it. **Average Rating:** 4.5/5.0 **Total Reviews:** 27 #### How Do G2 Users Rate Cube? - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.3/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) #### Who Is the Company Behind Cube? - **Seller:** [Cube](https://www.g2.com/sellers/cube-637927e0-6501-4673-89d8-4d5ecadb4f96) - **Company Website:** https://cube.dev/pricing - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @the\_cube\_dev (2,215 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cube-dev/ (47 employees on LinkedIn®) #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 52% Small, 37% Medium #### What Do G2 Reviewers Say About Cube? _AI-generated summary from verified user reviews_ ##### Pros - Users find CubeJS Cloud's **ease of use** exceptional, simplifying development and maintenance for small teams. - Users value the **flexibility and customization** offered by Cube, enhancing their embedded analytics applications significantly. - Users value the **powerful BI capabilities** of Cube, enabling sophisticated metrics and fast data access for insights. - Users commend the **fast and proactive customer support** of Cube, enhancing their overall experience significantly. - Users value the **flexibility** of CubeJS, enabling seamless integration and customization for various applications. ##### Cons - Users find Cube lacking in **essential features** like BI integration, flexibility in metrics, and comprehensive functionality. - Users report frequent **bugs and integration issues** with Cube, creating frustrating challenges and impacting efficiency. - Users find **data integration challenging** with BI tools, encountering issues like query failures and limited metric flexibility. - Users find Cube's features **limited** , citing a lack of documentation, SDKs, and advanced charting or semantic capabilities. - Users report encountering **software bugs** that hinder functionality, particularly with preAggregations and documentation clarity. #### What Are Recent G2 Reviews of Cube? **["Super Easy Access to the DEV team"](https://www.g2.com/survey_responses/cube-review-11700913)** **Rating:** 5.0/5.0 stars _— Verified User in Real Estate_ [Read full review](https://www.g2.com/survey_responses/cube-review-11700913) **["Great for AI applications and general data apps!"](https://www.g2.com/survey_responses/cube-review-10751001)** **Rating:** 4.5/5.0 stars _— Verified User in Commercial Real Estate_ [Read full review](https://www.g2.com/survey_responses/cube-review-10751001) ### [Luzmo](https://www.g2.com/products/luzmo/reviews) Luzmo helps businesses embed data products hassle-free, empowering their users with fast, confident decisions in record time. **Average Rating:** 4.6/5.0 **Total Reviews:** 70 #### How Do G2 Users Rate Luzmo? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.3/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.1/10 (Category avg: 8.5/10) #### Who Is the Company Behind Luzmo? - **Seller:** [Luzmo NV](https://www.g2.com/sellers/luzmo-nv) - **Year Founded:** 2015 - **HQ Location:** Brooklyn, US - **Twitter:** @luzmo\_official (895 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10198259/ (50 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Small, 32% Medium #### What Do G2 Reviewers Say About Luzmo? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **intuitive ease of use** of Luzmo, enabling quick adoption and fast dashboard creation. - Users are impressed by Luzmo's **embedding features** , enabling quick insights and seamless integration into their SaaS applications. - Users value the **customization features** of Luzmo, enabling tailored applications and efficient management across diverse client environments. - Users commend Luzmo for its **intuitive interface and rapid deployment** , enabling quick insights and analytics integration. - Users praise the **easy setup** of Luzmo, enabling swift adoption and fast deployment of analytics tools. ##### Cons - Users find Luzmo's **complexity challenging** , with setup difficulties and limited querying capabilities hindering efficiency. - Users are disappointed by Luzmo's **limited options** for complex queries and insufficient chart functionality. - Users note **performance issues** with large datasets and lag in the interface, affecting overall workflow experience. - Users experience **table limitations** with Luzmo, hindering complex queries and causing challenges with data handling. - Users experience **performance and sync issues** with Luzmo, especially when handling larger datasets, impacting usability. #### What Are Recent G2 Reviews of Luzmo? **["Fast, Beautiful Dashboards and Effortless Embedding"](https://www.g2.com/survey_responses/luzmo-review-11991075)** **Rating:** 4.5/5.0 stars _— Shanti B._ [Read full review](https://www.g2.com/survey_responses/luzmo-review-11991075) **["Powerful Embedded BI with Proactive Support Addressing Performance at Scale"](https://www.g2.com/survey_responses/luzmo-review-12246440)** **Rating:** 4.5/5.0 stars _— Verified User in Logistics and Supply Chain_ [Read full review](https://www.g2.com/survey_responses/luzmo-review-12246440) ### [datapine](https://www.g2.com/products/rib-software-datapine/reviews) datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution. **Average Rating:** 4.6/5.0 **Total Reviews:** 26 #### How Do G2 Users Rate datapine? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.3/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 10.0/10 (Category avg: 8.5/10) #### Who Is the Company Behind datapine? - **Seller:** [RIB Software](https://www.g2.com/sellers/rib-software) - **Year Founded:** 1961 - **HQ Location:** Stuttgart, DE - **Twitter:** @RIB\_Global (1,214 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rib-software/ (1,556 employees on LinkedIn®) - **Ownership:** ETR:RIB #### Who Uses This Product? - **Company Size:** 50% Medium, 42% Small #### What Are Recent G2 Reviews of datapine? **["All in one BI tool with powerful features"](https://www.g2.com/survey_responses/datapine-review-5112205)** **Rating:** 5.0/5.0 stars _— Verified User in Retail_ [Read full review](https://www.g2.com/survey_responses/datapine-review-5112205) **["Great predictive analytics features for budgeting"](https://www.g2.com/survey_responses/datapine-review-7521266)** **Rating:** 5.0/5.0 stars _— Verified User in Consumer Services_ [Read full review](https://www.g2.com/survey_responses/datapine-review-7521266) ### [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews) Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access data from wherever they are, even using mobile devices. Oracle Analytics Cloud helps organizations discover unique insights faster with machine learning. With augmented analytics, combine data from across your organization with third-party data and automate important and time-consuming tasks such as data preparation, visualization, forecasting, and reporting. **Average Rating:** 4.1/5.0 **Total Reviews:** 293 #### How Do G2 Users Rate Oracle Analytics Cloud? - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 8.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Oracle Analytics Cloud? - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 61% Large, 27% Medium #### What Do G2 Reviewers Say About Oracle Analytics Cloud? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **robust self-service analytics** tools of Oracle Analytics Cloud, enabling effortless dashboard creation and data exploration. - Users appreciate the **strong data visualization** capabilities of Oracle Analytics Cloud, making analytics accessible and attractive for all. - Users value the **intuitive and accessible interface** of Oracle Analytics Cloud, enabling effortless data exploration for all skill levels. - Users value the **scalability** of Oracle Analytics Cloud, allowing for customizable solutions tailored to their evolving needs. - Users appreciate the **customized business improvement solutions** Oracle Analytics Cloud offers, enhancing collaborative analytics for organizations. ##### Cons - Users face a **steep learning curve** with Oracle Analytics Cloud, making it challenging for new users to adapt. - Users find the **complexity** of Oracle Analytics Cloud daunting, particularly during the initial setup and learning advanced features. - Users find the **complex usage** of Oracle Analytics Cloud challenging, particularly during setup and when learning advanced features. - Users find that **customization options are limited** , making it difficult to meet highly specialized requirements on Oracle Analytics Cloud. - Users note the **infrequent software updates** of Oracle Analytics Cloud, leading to concerns about security vulnerabilities. #### What Are Recent G2 Reviews of Oracle Analytics Cloud? **["Fast Navigation, Customizable Oracle Analytics Cloud, and Strong Automation"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664)** **Rating:** 4.0/5.0 stars _— Shawn A._ [Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664) **["Transform complex data into actionable insights!"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722)** **Rating:** 4.0/5.0 stars _— Gaurav G._ [Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722) ### [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews) ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot. **Average Rating:** 4.4/5.0 **Total Reviews:** 327 #### How Do G2 Users Rate ThoughtSpot? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind ThoughtSpot? - **Seller:** [ThoughtSpot](https://www.g2.com/sellers/thoughtspot) - **Company Website:** https://www.thoughtspot.com - **Year Founded:** 2012 - **HQ Location:** Mountain View, CA - **Twitter:** @thoughtspot (10,975 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2647843/ (1,738 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Large, 42% Medium #### What Do G2 Reviewers Say About ThoughtSpot? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** with ThoughtSpot, enjoying straightforward data access and intuitive search capabilities. - Users appreciate the **user-friendly interface** of ThoughtSpot, which simplifies data management and reporting tasks effectively. - Users praise the **intuitive analytics capabilities** of ThoughtSpot, making data exploration accessible for everyone in the organization. - Users appreciate the **intuitive interface** of ThoughtSpot, making data analytics accessible and easy for everyone. - Users appreciate the **effective data visualization** in ThoughtSpot, enhancing decision-making and streamlining business operations. ##### Cons - Users experience a **steep learning curve** with ThoughtSpot, finding it challenging and unintuitive initially. - Users find **missing features** in ThoughtSpot, noting delays in additions and a lack of customization options. - Users struggle with the **complexity** of ThoughtSpot, finding it non-intuitive and challenging to build formulas effectively. - Users struggle with **learning difficulties** in ThoughtSpot, finding it non-intuitive and requiring significant IT support. - Users find the **limited customization options** in ThoughtSpot restrictive, impacting their ability to tailor visualizations effectively. #### What Are Recent G2 Reviews of ThoughtSpot? **["ThoughtSpot is one of the best tools on the market"](https://www.g2.com/survey_responses/thoughtspot-review-12910262)** **Rating:** 4.0/5.0 stars _— Murugan M._ [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-12910262) **["Easy-to-Navigate Search with Powerful Filters and Helpful AI Query Tweaks"](https://www.g2.com/survey_responses/thoughtspot-review-13035404)** **Rating:** 4.0/5.0 stars _— Verified User in Leisure, Travel & Tourism_ [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-13035404) ### [Explo](https://www.g2.com/products/explo/reviews) Explo provides a powerful embedded dashboard and reporting solution. Securely share customizable product analytics, project reports, and KPIs with each of your customers all while seamlessly matching your product's design. Give your users the power to explore their data on their on by editing dashboards and building their own self serve data reports. **Average Rating:** 4.9/5.0 **Total Reviews:** 137 #### How Do G2 Users Rate Explo? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 9.2/10 (Category avg: 8.3/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) #### Who Is the Company Behind Explo? - **Seller:** [Explo](https://www.g2.com/sellers/explo) - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @tryexplo (657 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/explo-co (12 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Co-Founder - **Top Industries:** Computer Software, Financial Services - **Company Size:** 77% Small, 22% Medium #### What Do G2 Reviewers Say About Explo? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **flexible charting features** of Explo, enabling quick data connections and beautiful visualizations. - Users love the **flexible dashboard customization** in Explo, enhancing data visualization and user experience significantly. - Users value the **ease of use** of Explo, highlighting its intuitive UI and quick dashboard creation capabilities. - Users love the **easy creation** of dashboards in Explo, appreciating its flexibility and intuitive interface for customization. - Users value the **customizability** of Explo, appreciating its intuitive UI and flexible dashboard creation tools. ##### Cons - Users find the **complexity** of implementing customer-facing dashboards challenging, due to a difficult and unintuitive design. - Users find the **complex usage** of Explo challenging due to its unintuitive design and difficult learning curve. - Users find the **initial difficulty** in implementing customer-facing dashboards challenging due to the unintuitive design. - Users struggle with **layout issues** in Explo, finding the dashboard implementation complex and the design unintuitive. - Users find the **learning curve steep** due to Explo's unintuitive design and complex customer-facing dashboard implementation. #### What Are Recent G2 Reviews of Explo? **["Explo Review"](https://www.g2.com/survey_responses/explo-review-11673994)** **Rating:** 5.0/5.0 stars _— Ravi T._ [Read full review](https://www.g2.com/survey_responses/explo-review-11673994) **["Very useful"](https://www.g2.com/survey_responses/explo-review-11657769)** **Rating:** 5.0/5.0 stars _— Sowmiya R._ [Read full review](https://www.g2.com/survey_responses/explo-review-11657769) ### [wynEnterprise](https://www.g2.com/products/wynenterprise/reviews) Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. With easy-to-use designers, designed for self-service BI, Wyn offers limitless visual data exploration, allowing the everyday user to become data-driven while revealing trends and telling the story behind the data. Whether for your business or your commercial SaaS app, Wyn is an ideal solution for both. Embedded BI for your business provides a holistic view of your business and can lead to more insights, increased team collaboration, and overall business growth. Additionally, embedding Wyn in your SaaS app provides white-label reports and dashboards as part of your own app. Embed Wyn and empower your users with a seamless business intelligence solution. Features: • Seamlessly embedded Business Intelligence: Designed for embedded self-service BI, Wyn provides ad hoc reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. Our platform offers flexible deployment and integration. • Embedding BI with Wyn: Once installed, Wyn is 100% web-based. In your application, Wyn is embedded as a port to provide users the ability to easily create, design, share, export, and distribute dashboards and documents. Seamlessly embed Wyn via Rest API and DIV. Wyn also supports OEM installation and embedding. Additionally, you can integrate with development platforms such as Java, PHP, and .NET through GraphQL API. You can also embed inside customized .NET apps as well as JavaScript frameworks (Angular, React, Vue). • Self-service BI dashboard and reports: Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. Self-service BI allows users to run their own queries and create their own reports, even if they don’t have a background in statistical analysis, allowing them to turn data into valuable insights for better data driven decisions. • Data Monitoring: Create threshold based notifications and establish Wyn Alerts that are always on to monitor your data. Never miss an opportunity for improvement thanks to real-time monitoring and instant alerts. Integrate your push-notifications with the platform you use everyday - Slack, MS Teams, or email - ensuring that you never miss an alert. •Localization Support: With Custom Localization Support, you’re in control of your dashboard and report. Authors have the ability to localize titles and labels, text explanations, and data visualizations. There is more to localization than just translating words and sentences. Wyn’s custom localization also supports right to left (RTL) languages, regional language options, and number and date formats. •NEW! Natural Language Generation Text Scenario: Introducing InsightIQ, a revolutionary addition to our feature set that transforms the way you interact with your data. InsightIQ is a Natural Language Generation Text Scenario that takes data summarization and insights derivation to a whole new level. This powerful tool allows you to seamlessly distill the essence of your visuals into articulate and easy-to-understand natural language text, facilitating quick reviews and automatic insights extraction. • Built-in multi-tenant support: Wyn's multi-tenant capabilities provides a single centrally administered architecture to serve multiple customers (tenants). These tenants can be within an organization or different businesses, with all its data stored in the SaaS system. Data privacy and securing the data from other tenants are both critical in these deployment scenarios • Date governance and modeling: Wyn allows you to secure and model your raw data. With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data. Wyn also allows allows admins to model business data in a structure familiar to users. • Extensible security: Wyn provides extensible security to match your access control needs. Filter and segregate your data and limit your tenant-specific data with the configurable role-based security and user-context definitions. User contexts provide row-level data security in a document or database-level security for a data source. User context acts as an additional layer of data security, extending the role-based security. • Specialized web portals: The software comes with three portals, the document portal; for business end-users, dashboard, and report authors, the admin portal; for admins that configure the server, manage account and security settings, and the resource portal; for data administrators or IT teams. • Pixel-perfect reports: For power users and business users, the report designer tools can help in developing pixel-perfect operational reports, as well as in creating invoices, letters, and account statements among many others. The software further allows you to use ad hoc reporting or the standard enterprise reports. • Efficient Report Sharing: The software also allows you to schedule automated delivery of reports to be sent to your team’s emails. File sharing in various document formats is also supported. Additionally, you can collaborate with your team on report and dashboard designs, and you can share the published versions with others in your enterprise. • Centralized storage; Apart from being a secured platform, Wyn Enterprise also provides centralized storage for all your reports, images, datasets, and configuration settings. Other server resources, such as dashboards, themes, models, users, and roles, are also stored in the same place. The software also allows you to compile data from relational databases, local Excel or CSV files, web sources, and NoSQL data sources. Say Goodbye to User Fees You need a scalable BI platform. You also need to know how much it will cost in the long run. Wyn's scalable licensing model allows room for your business to grow without growth in licensing fees. • No per-user fees • No limits on data size 20+ Years in the Industry Unleash the full potential of embedded ad hoc reporting, driven by the same ActiveReports engine that has led the industry for 20+ years. **Average Rating:** 4.7/5.0 **Total Reviews:** 38 #### How Do G2 Users Rate wynEnterprise? - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 9.1/10 (Category avg: 8.3/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) #### Who Is the Company Behind wynEnterprise? - **Seller:** [wynEnterprise LLC](https://www.g2.com/sellers/wynenterprise-llc) - **Company Website:** https://www.wynenterprise.com - **Year Founded:** 2018 - **HQ Location:** 7400 Beaufont Springs Dr., St 300, Richmond VA 23225 - **LinkedIn® Page:** https://www.linkedin.com/company/wynenterprise/ (28 employees on LinkedIn®) #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 53% Small, 37% Medium #### What Do G2 Reviewers Say About wynEnterprise? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **excellent customer support** from wynEnterprise, ensuring effective assistance and timely issue resolution. - Users appreciate the **ease of use** of wynEnterprise, finding it simple and fast for impressive data visualization. - Users value the **flexibility** of wynEnterprise, allowing easy customization and integration for diverse enterprise needs. - Users value the **impressive reporting features** of wynEnterprise, enhancing presentations and data analysis effectively. - Users value the **high degree of customization** in wynEnterprise, enabling tailored solutions for diverse business needs. ##### Cons - Users find the **poor documentation** challenging, making it difficult to navigate the system's extensive features effectively. - Users find the **complexity** of wynEnterprise challenging, especially due to its advanced features and unintuitive configurations. - Users find the **lack of detail** in instructions and map renderings disappointing, limiting the product's effectiveness. - Users note a **lack of documentation** and features in wynEnterprise, which may hinder competitiveness and usability. - Users find **update issues** cumbersome, as backups are necessary before applying updates, affecting overall efficiency. #### What Are Recent G2 Reviews of wynEnterprise? **["Flexible Dashboards and Centralized Enterprise Data Access Control"](https://www.g2.com/survey_responses/wynenterprise-review-12315453)** **Rating:** 4.5/5.0 stars _— Ali E._ [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12315453) **["Flexible Visualization for Business Insights"](https://www.g2.com/survey_responses/wynenterprise-review-12170715)** **Rating:** 4.0/5.0 stars _— Satyam k._ [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12170715) ### [panintelligence](https://www.g2.com/products/panintelligence/reviews) Expand ARR and accelerate your product roadmap with secure, Generative Business Intelligence (GenBI). At Panintelligence, we bring over 10 years of expertise in helping 400+ global customers unlock deeper insights, reduce technical debt, and drive data-driven growth. Our platform seamlessly integrates with your existing data infrastructure, providing your users with an intuitive, immersive experience. Low Code for Developers: We minimize development effort, allowing your team to focus on innovation and accelerate your roadmap. No Code for Users: We empower users to explore data independently, leveraging Generative BI to surface insights without technical expertise. By embedding Panintelligence, you enable self-service analytics while future-proofing your platform. Our partnership-driven approach ensures your business stays ahead with secure, scalable, and cutting-edge GenBI. Unlock the full potential of your data with Panintelligence – the Generative BI leader for organizations worldwide. **Average Rating:** 4.4/5.0 **Total Reviews:** 49 #### How Do G2 Users Rate panintelligence? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.3/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) #### Who Is the Company Behind panintelligence? - **Seller:** [Panintelligence](https://www.g2.com/sellers/panintelligence) - **Company Website:** https://www.panintelligence.com/ - **Year Founded:** 2014 - **HQ Location:** Leeds - **Twitter:** @panintelligence (2,056 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/panintelligence/ (34 employees on LinkedIn®) #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Medium, 39% Small #### What Do G2 Reviewers Say About panintelligence? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **outstanding customer support** from Panintelligence, fostering a genuine partnership in their data journey. - Users appreciate the **ease of use** of Panintelligence, enabling quick insights and efficient data-driven decision-making. - Users value the **user-friendly analytics** of Panintelligence, enabling effective data visualization and quick insights. - Users value the **flexibility in customizing charts and dashboards** , enhancing relevance for different departments and clients. - Users appreciate the **flexibility of dashboard customization** in Panintelligence, tailoring visuals to meet diverse needs and preferences. ##### Cons - Users express dissatisfaction with the **limited customization** options in Panintelligence, affecting user experience and chart styles. - Users find that the **learning difficulty** of Panintelligence complicates setup and understanding of charts and modules. - Users find the **limited chart functionality** frustrating, making advanced visualizations time-consuming and challenging to configure. - Users find **limited visualization** options in panintelligence, which affects interactivity and customization capabilities. - Users find the **missing features** in Panintelligence, particularly in customization and advanced capabilities, disappointing. #### What Are Recent G2 Reviews of panintelligence? **["The Panintelligence team are incredibly helpful, easy to work with, and always quick to respond."](https://www.g2.com/survey_responses/panintelligence-review-11387943)** **Rating:** 4.0/5.0 stars _— Stewart B._ [Read full review](https://www.g2.com/survey_responses/panintelligence-review-11387943) **["User-Friendly BI Platform with Excellent Support and Seamless Integration"](https://www.g2.com/survey_responses/panintelligence-review-12088298)** **Rating:** 4.0/5.0 stars _— Verified User in Electrical/Electronic Manufacturing_ [Read full review](https://www.g2.com/survey_responses/panintelligence-review-12088298) ### [Metabase](https://www.g2.com/products/metabase/reviews) Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL, for internal and customer-facing, embedded analytics. Install and setup in 5 minutes. Works with what’s already in your data stack, including SQL and NoSQL databases, from PostgreSQL to MongoDB. Let your whole team explore data on their own, create charts, interactive dashboards, and set up subscriptions and alerts - even to people outside of your org. The native SQL editor and advanced data tools will win over your data team. From Open Source (Always Free) to Enterprise, from Metabase Cloud to self-hosted, Metabase has everything you need scale with you with a number of affordable plans. Try free for 14 days. **Average Rating:** 4.4/5.0 **Total Reviews:** 145 #### How Do G2 Users Rate Metabase? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.3/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Metabase? - **Seller:** [Metabase](https://www.g2.com/sellers/metabase) - **Year Founded:** 2014 - **HQ Location:** Lucknow, Uttar Pradesh - **Twitter:** @metabase (8,751 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6460313/ (125 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Product Manager, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Medium, 34% Small #### What Do G2 Reviewers Say About Metabase? _AI-generated summary from verified user reviews_ ##### Pros - Users find Metabase to be **extremely easy to use** , facilitating quick report generation and simplified data exploration. - Users find Metabase's **implementation ease** remarkable, allowing quick data insights without complexity or heavy setup. - Users value the **intuitive interface** of Metabase, making data access and report generation effortless for everyone. - Users commend Metabase for its **user-friendly data visualization** , enabling easy chart creation for all team members. - Users praise the **easy setup** of Metabase, allowing quick connections to databases without complex configurations. ##### Cons - Users experience **slow performance** with Metabase, especially during high query volumes and with large datasets. - Users note the **missing features** in Metabase, particularly in visualizations and lack of integrated AI assistance. - Users often experience **slow loading times** with Metabase, causing queries to time out and dashboards to lag. - Users experience **performance issues** with Metabase, including lag and slow processing speeds, especially with large datasets. - Users feel that the **dashboard creation UI could be improved** for better visualization and chart options. #### What Are Recent G2 Reviews of Metabase? **["Intuitive, Cost-Effective BI That Streamlines Dashboards and Reporting"](https://www.g2.com/survey_responses/metabase-review-12056142)** **Rating:** 4.0/5.0 stars _— BHARAT SINGH B._ [Read full review](https://www.g2.com/survey_responses/metabase-review-12056142) **["User-Friendly and Developer-Friendly BI Tool That’s Easy to Get Started With"](https://www.g2.com/survey_responses/metabase-review-12552560)** **Rating:** 4.5/5.0 stars _— SAURABH B._ [Read full review](https://www.g2.com/survey_responses/metabase-review-12552560) ### [Microsoft Power BI Embedded](https://www.g2.com/products/microsoft-power-bi-embedded/reviews) Power BI Embedded provides a simple and straightforward way to bring visual analytics into your app instead of building it yourself. It simplifies Power BI capabilities by helping you quickly add stunning visuals, reports, and dashboards. Similar to apps built on Microsoft Azure use services like Machine Learning and IoT. By enabling easy-to-navigate data exploration in your solutions, allow your customers to make quick, informed decisions in context. The Power BI product suite allows you to author, publish, share, and embed visual interactive reports and dashboards. Use Power BI Desktop to create and distribute content - for free. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. **Average Rating:** 4.4/5.0 **Total Reviews:** 106 #### How Do G2 Users Rate Microsoft Power BI Embedded? - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.4/10 (Category avg: 8.3/10) - **Reports Interface:** 9.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) #### Who Is the Company Behind Microsoft Power BI Embedded? - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Medium, 37% Large #### What Do G2 Reviewers Say About Microsoft Power BI Embedded? _AI-generated summary from verified user reviews_ ##### Pros - Users find Microsoft Power BI Embedded **easy to use** , simplifying complex tasks and enhancing creativity with its intuitive features. - Users find that Microsoft Power BI Embedded provides **valuable business insights** , facilitating quick decisions and increasing sales. - Users value the **dashboard customization** in Power BI Embedded, enhancing report integration across various applications effortlessly. - Users value **data visualization capabilities** of Power BI Embedded, enhancing data organization and insights for better decision-making. - Users find the **ease of creation** in Power BI Embedded allows for intuitive use and enhances creativity. ##### Cons - Users find the **learning curve steep** for concepts like Bookmarks and formatting, especially without an IT background. - Users find the **learning difficulty** of Microsoft Power BI Embedded problematic, especially with complex features and limited formatting options. - Users find **formatting issues** in Power BI Embedded, noting limited options and complexity in visual adjustments. - Users find the **initial difficulty** significant, especially without an IT background to navigate Power BI Embedded effectively. #### What Are Recent G2 Reviews of Microsoft Power BI Embedded? **["Power your Reports with PowerBI"](https://www.g2.com/survey_responses/microsoft-power-bi-embedded-review-11822034)** **Rating:** 4.0/5.0 stars _— Mani B._ [Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-embedded-review-11822034) **["Flexible, Centralized Reporting with Microsoft Power BI Embedded"](https://www.g2.com/survey_responses/microsoft-power-bi-embedded-review-12836934)** **Rating:** 5.0/5.0 stars _— Margarita C._ [Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-embedded-review-12836934) ### [Logi Symphony](https://www.g2.com/products/logi-symphony/reviews) Logi Symphony enables software teams to rapidly design, build, and embed interactive dashboards and data visualizations with fast connectivity and access to modern data infrastructure. Maintain complete control over the analytics experience while empowering end users to explore, analyze, and share data securely. Logi Symphony allows both medium and enterprise-level companies to bring new Analytics and Business Intelligence capabilities to their applications: -Connect to any data source -Align data with ETL, data performance, data quality, and data structure -Embed dashboards, pixel-perfect reporting, what-if analysis, and self-service directly into your applications -Create content with unparalleled visual and interactive flexibility -Empower your end users with Modern Data Discovery -Augment data with predictive, forecasting, clustering, and outlier analysis -Integrate with fully open APIs and white labeling -Integrate security with single sign-on (SSO) and federated authentication -Low / No code easy embedding (iframeless) -Full extensibility using multiple well-documented APIs -Deploy anywhere (Managed Cloud, On-Premises) -Single or multi-tenant setup The Logi Symphony platform provides the extensibility to meet evolving requirements and match your brand, the embeddability to deliver information in the context in which people work, and the self-service capabilities to address different users' roles and skills. We quickly boost your analytics adoption within your application! With Logi Symphony, you can embed analytics into the fabric of your organization and products - enabling anyone to analyze data, share insights, and make informed decisions. We empower companies to create analytic applications that are purpose-built to users' unique roles and skills, delivered in the context of where users already work and infused within existing workflows and security models. **Average Rating:** 4.3/5.0 **Total Reviews:** 398 #### How Do G2 Users Rate Logi Symphony? - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Logi Symphony? - **Seller:** [insightsoftware](https://www.g2.com/sellers/insightsoftware-f6b45d26-bff9-4340-b3b7-a2076e7bb544) - **Year Founded:** 2018 - **HQ Location:** Raleigh, North Carolina - **Twitter:** @insightsoftware (801 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/outcomes-by-insightsoftware/ (2,266 employees on LinkedIn®) #### Who Uses This Product? - **Who Uses This:** Product Manager, Business Intelligence Developer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Medium, 29% Small #### What Do G2 Reviewers Say About Logi Symphony? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **dashboard customization** in Logi Symphony, enhancing their productivity and project development experience. - Users find Logi Symphony's **ease of use** enhances productivity and simplifies the development of BI projects. - Users appreciate the **intuitive design** of Logi Symphony, enhancing productivity in BI project development. - Users value the **exceptional performance** of Logi Symphony, boosting productivity and simplifying BI project development. #### What Are Recent G2 Reviews of Logi Symphony? **["Easy to use and very customizable dataviz tool"](https://www.g2.com/survey_responses/logi-symphony-review-9599707)** **Rating:** 4.0/5.0 stars _— Felipe B._ [Read full review](https://www.g2.com/survey_responses/logi-symphony-review-9599707) **["Looking for a good BI Tool? Try Dundas BI, it has all you need and more!"](https://www.g2.com/survey_responses/logi-symphony-review-73991)** **Rating:** 4.5/5.0 stars _— Luis S._ [Read full review](https://www.g2.com/survey_responses/logi-symphony-review-73991) - [‹ Prev‹ Prev](/categories/embedded-business-intelligence/small-business?order=g2_score#product-list) - [1](/categories/embedded-business-intelligence/small-business?order=g2_score#product-list) - 2 - [3](/categories/embedded-business-intelligence/small-business?order=g2_score&page=3#product-list) - [Next ›Next ›](/categories/embedded-business-intelligence/small-business?order=g2_score&page=3#product-list) Spotlight Categories [Payment Processing Software](https://www.g2.com/categories/payment-processing) [Relational Databases](https://www.g2.com/categories/relational-databases) [Expense Management Software](https://www.g2.com/categories/expense-management) [Event Registration and Ticketing Software](https://www.g2.com/categories/event-registration-ticketing) [Bot Platforms Software](https://www.g2.com/categories/bot-platforms) 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)