# Best Embedded Business Intelligence Software

## 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 29, 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=1213&focus%5B%5D=20158&focus%5B%5D=610&focus%5B%5D=612&focus%5B%5D=162504&focus%5B%5D=104521&focus%5B%5D=604&focus%5B%5D=998)

Highlighted products: Tableau, Amazon QuickSight, GoodData.AI, IBM Cognos Analytics, Hex, Sigma, Domo, and Jaspersoft.

Underlying data: [Grid® JSON](https://www.g2.com/categories/embedded-business-intelligence/grids.json?focus%5B%5D=tableau&focus%5B%5D=amazon-quicksight&focus%5B%5D=gooddata-ai&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=hex-tech-hex&focus%5B%5D=sigma-computing-sigma&focus%5B%5D=domo&focus%5B%5D=jaspersoft)

**Sponsored**

### KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

[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=2026-07-29T17%3A14%3A45Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&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%3Fopen_modal_url%3D%252Fproducts%252Flooker%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fembedded-business-intelligence%2526source%253Dcategory&secure%5Btoken%5D=83469e00ae52c2cc14fb773633536a332166abd39a809693345e9f1fee383d21&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Tableau](https://www.g2.com/products/tableau/reviews)

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

**Average Rating:** 4.4/5.0

**Total Reviews:** 3,677

#### How Do G2 Users Rate Tableau?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.3/10 (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 Tableau?

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** www.salesforce.com
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Large, 36% Medium

#### What Do G2 Reviewers Say About Tableau?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Tableau's **ease of use** essential for creating interactive dashboards without heavy coding or complex setups.
- Users value Tableau's **data visualization capabilities** , enabling the creation of interactive, clear dashboards that enhance decision-making.
- Users love Tableau for its **powerful visualization capabilities** , enabling clear, interactive dashboards and real-time data insights.
- Users value the **interactive dashboards** of Tableau, enhancing data visualization and simplifying complex reporting tasks seamlessly.
- Users love Tableau's **intuitive interface** , making complex data visualization and dashboard creation easy and accessible.

##### Cons

- Users find the **learning curve steep** , making it challenging to fully integrate Tableau with Salesforce and MS products.
- Users face a **steep learning curve** with Tableau, making it challenging for new users to become proficient.
- Users report that the **high licensing cost** of Tableau can be a significant barrier, especially for smaller teams.
- Users report **slow performance** with large datasets, impacting their experience and efficiency in Tableau.
- Users find Tableau's **onboarding and complexity** challenging, making it tougher to transition from simpler tools like MS products.

#### What Are Recent G2 Reviews of Tableau?

**["Clear data means quick decisions."](https://www.g2.com/survey_responses/tableau-review-13124621)**

**Rating:** 4.5/5.0 stars

_— Libia B._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13124621)

**["Turning Complex Data into Actionable Insights"](https://www.g2.com/survey_responses/tableau-review-13075232)**

**Rating:** 5.0/5.0 stars

_— Murtuza L._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13075232)

#### What Are G2 Users Discussing About Tableau?

- [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments
- [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for)
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment

### [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews)

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws

**Average Rating:** 4.3/5.0

**Total Reviews:** 676

#### How Do G2 Users Rate Amazon QuickSight?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.0/10 (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 Amazon QuickSight?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 40% Small, 37% Medium

#### What Do G2 Reviewers Say About Amazon QuickSight?

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **seamless integration with AWS services** , allowing for quick and effective dashboard creation.
- Users find Amazon QuickSight to be **very user-friendly** , seamlessly integrating with AWS for a smooth experience.
- Users appreciate the **easy integrations** of Amazon QuickSight, enhancing convenience with AWS and other data sources.
- Users value the **interactive dashboards and data visualization tools** of Amazon QuickSight, enhancing real-time insights for their business.
- Users admire the **interactive dashboard management** of Amazon QuickSight, enabling seamless data visualization and real-time insights.

##### Cons

- Users find the **limited customization options** of Amazon QuickSight restricts the flexibility of their reporting needs.
- Users find the **learning curve steep** , requiring additional AWS knowledge for effective use of QuickSight's features.
- Users find the **visualization options limited** , making it tough to achieve desired dashboard customizations and interactivity.
- Users find **missing features** in Amazon QuickSight, particularly lacking customization and advanced analytics compared to competitors.
- Users find the **poor interface design** of Amazon QuickSight detracts from usability and hinders deeper data analysis.

#### What Are Recent G2 Reviews of Amazon QuickSight?

**["Fast, Serverless BI with Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)**

**Rating:** 4.5/5.0 stars

_— Jawher S._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)

**["Streamlined Reporting with Robust Features"](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)**

**Rating:** 4.0/5.0 stars

_— Dilip Kumar P._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)

#### What Are G2 Users Discussing About Amazon QuickSight?

- [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote
- [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote
- [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote
- [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote
- [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote

### [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews)

GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData serves over 140,000 companies and 3.2 million users worldwide.

**Average Rating:** 4.3/5.0

**Total Reviews:** 597

#### How Do G2 Users Rate GoodData.AI?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind GoodData.AI?

- **Seller:** [GoodData.AI](https://www.g2.com/sellers/gooddata-ai)
- **Company Website:** www.gooddata.ai
- **Year Founded:** 2007
- **HQ Location:** San Francisco, CA
- **Twitter:** @gooddata  
1 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e5a1c6cbfee9b89e71cb10716afc3c0457a18ef9dc9fabd21bb732987bcd600a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F202760%2F&secure%5Burl_type%5D=linkedin_company_website)  
281 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Product Manager
- **Top Industries:** Computer Software, Consumer Services
- **Company Size:** 44% Medium, 40% Small

#### What Do G2 Reviewers Say About GoodData.AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **ease of use** of GoodData.AI impressive, with an intuitive interface that enhances their business operations.
- Users appreciate the **easy-to-use data visualization** features of GoodData.AI, enhancing accessibility for trend analysis and reporting.
- Users value the **quick integration** of GoodData.AI, enhancing workflow with seamless connections to various systems.
- Users highlight the **intuitive user interface** of GoodData.AI, making it easy for newcomers to utilize its features.
- Users value the **customization capabilities** of GoodData.AI, enhancing flexibility and enabling tailored business insights.

##### Cons

- Users find the **learning curve steep** for GoodData.AI, especially for those unfamiliar with data modeling concepts.
- Users find **learning GoodData.AI challenging** , especially those with backgrounds in non-relational databases, due to its complexity.
- Users find the **missing features** of GoodData.AI frustrating, limiting customization and functionality for workflows and graphics.
- Users find GoodData.AI's interface **complex** , especially when dealing with advanced features and data relationships.
- Users find the **limited customization** options in GoodData.AI restrictive, hindering their ability to tailor the product effectively.

#### What Are Recent G2 Reviews of GoodData.AI?

**["Mosaic & Semantic Layer Unite Our Data, Plus Helpful AI Dashboard Suggestions"](https://www.g2.com/survey_responses/gooddata-ai-review-12912613)**

**Rating:** 5.0/5.0 stars

_— Jeff P._

[Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-12912613)

**["Embedded Dashboards and Consistent Metrics That Cut Support Tickets"](https://www.g2.com/survey_responses/gooddata-ai-review-13032302)**

**Rating:** 5.0/5.0 stars

_— Yash G._

[Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-13032302)

### [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews)

IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business.

**Average Rating:** 4.1/5.0

**Total Reviews:** 438

#### How Do G2 Users Rate IBM Cognos Analytics?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.6/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Cognos Analytics?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 57% Large, 26% Medium

#### What Do G2 Reviewers Say About IBM Cognos Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM Cognos Analytics, enjoying intuitive features for reporting and analysis.
- Users appreciate the **quick and easy report generation** capabilities of IBM Cognos Analytics, enhancing their data analysis experience.
- Users appreciate the **in-depth adaptable dashboards** of IBM Cognos Analytics for generating insightful reports and visuals.
- Users value the **effortless data visualization** of IBM Cognos Analytics, enhancing understanding through engaging and adaptable dashboards.
- Users value the **intuitive user interface** of IBM Cognos Analytics, enhancing data comprehension and report creation efforts.

##### Cons

- Users find the **learning curve steep** , making initial navigation and integration with other software challenging.
- Users find the **learning difficulty** of IBM Cognos Analytics challenging, requiring substantial training and patience for effective use.
- Users experience **slow performance** with IBM Cognos Analytics, especially with complex reports and large data sets.
- Users find the **complexity** of building reports in IBM Cognos Analytics a significant barrier due to steep learning curves.
- Users find the **complex usage** of IBM Cognos Analytics challenging, particularly for new users navigating advanced features.

#### What Are Recent G2 Reviews of IBM Cognos Analytics?

**["Powerful Reporting, Less Modern Interface"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)**

**Rating:** 4.0/5.0 stars

_— Nunna H._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)

**["Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)**

**Rating:** 4.0/5.0 stars

_— Arkajit D._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)

#### What Are G2 Users Discussing About IBM Cognos Analytics?

- [What is IBM Cognos Analytics with Watson used for?](https://www.g2.com/discussions/what-is-ibm-cognos-analytics-with-watson-used-for) - 1 comment

### [Hex](https://www.g2.com/products/hex-tech-hex/reviews)

Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now \> https://app.hex.tech/signup?source=g2 Get a demo \> https://hex.tech/request-a-demo/?source=g2

**Average Rating:** 4.5/5.0

**Total Reviews:** 402

#### How Do G2 Users Rate Hex?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.6/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Hex?

- **Seller:** [Hex Tech](https://www.g2.com/sellers/hex-tech)
- **Company Website:** hex.tech
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @\_hex\_tech  
6,982 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=18531fc4e6d51a8771f4a2f229024fea767874199650a484a62b89cd4abe5f24&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhex-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
249 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Scientist
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Medium, 22% Small

#### What Do G2 Reviewers Say About Hex?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Hex **extremely user-friendly** , enjoying seamless integration and fast implementation for data projects.
- Users appreciate the **seamless integration of SQL and Python** , enhancing their data analysis and visualization experience in Hex.
- Users praise Hex for its **user-friendly data management** , enabling easy integration and collaboration across multiple databases.
- Users appreciate the **seamless SQL querying** in Hex, enhancing data analysis with effortless integration and intuitive tools.
- Users enjoy the **seamless data analysis and interactive capabilities** of Hex, enhancing collaboration and efficiency.

##### Cons

- Users highlight **limited features** in Hex, noting constraints in dashboard capabilities and lack of helpful AI tools.
- Users find **missing features** in Hex, such as inadequate data visualization and lack of saved result tabs.
- Users note that Hex is **lacking essential features** for dashboarding and computational efficiency compared to competitors.
- Users experience **slow performance** with Hex, especially in virtual machines and during routine tasks.
- Users face **data management issues** with Hex, including failures in scheduled runs and challenging notebook debugging.

#### What Are Recent G2 Reviews of Hex?

**["All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards"](https://www.g2.com/survey_responses/hex-review-13125920)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/hex-review-13125920)

**["Amazing AI and SQL Autocomplete That Speeds Up My Work"](https://www.g2.com/survey_responses/hex-review-12687305)**

**Rating:** 4.0/5.0 stars

_— Paco R._

[Read full review](https://www.g2.com/survey_responses/hex-review-12687305)

#### What Are G2 Users Discussing About Hex?

- [What is Hex Technologies used for?](https://www.g2.com/discussions/what-is-hex-technologies-used-for)

### [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python. - Agents: Deploy AI agents that act on live data and run multi-step workflows. Build them with natural language and your choice of enterprise LLM or warehouse AI. - Apps: Build AI Apps for operational work like planning and forecasting, scenario modeling, and approval routing, with writeback and governance automatically configured. Every artifact in Sigma inherits the security, permissions, and row-level access already set in the cloud data warehouse. Because governance is enforced at the source, anything a team builds is IT-approved from the start. Sigma solves a persistent tradeoff in enterprise data work. Business teams typically wait on a central data team to build reports and tools, while ad hoc AI and app-building tools produce work that sits outside IT's control. Sigma removes that tradeoff by keeping analysis, reporting, applications, and agents on live warehouse data under one set of permissions, so non-technical users build what they need while IT keeps a single, auditable system of control. Founded in 2014, Sigma is a privately held company headquartered in San Francisco, with offices in New York, London, and Sydney. More than 2,000 companies trust Sigma, including DoorDash, Blackstone, JPMorgan Chase, and Figma. Sigma is the business intelligence partner of the year for both Snowflake (2023-2026) and Databricks (2025-2026).

**Average Rating:** 4.4/5.0

**Total Reviews:** 544

#### How Do G2 Users Rate Sigma?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Sigma?

- **Seller:** [Sigma Computing](https://www.g2.com/sellers/sigma-computing)
- **Company Website:** www.sigmacomputing.com
- **Year Founded:** 2014
- **HQ Location:** San Francisco, California
- **Twitter:** @sigmacomputing  
1,556 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5e14ee06cc1c883d366c909e7de99c7c57ae9e81a07430a53fa07ee0dbfed5f4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F7801411%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,415 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Customer Success Manager
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 58% Medium, 21% Large

#### What Do G2 Reviewers Say About Sigma?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Sigma, finding it intuitive and simple to learn and navigate.
- Users love the **user-friendly interface** of Sigma, making it easy to create and manage metrics and dashboards.
- Users value the **responsive customer support** from Sigma, ensuring timely resolutions and effective assistance for their needs.
- Users find Sigma's **data handling capabilities** invaluable, simplifying processing and visualization for daily projects.
- Users appreciate how Sigma provides **clear and interactive data visualizations** , making complex datasets easy to analyze and understand.

##### Cons

- Users report that **loading times can be slow** , causing inefficiencies and frustration during use of Sigma.
- Users experience **slow performance** with Sigma, especially when handling complex tasks or larger datasets.
- Users find **limited customization** options in Sigma, restricting advanced visualizations and flexible formatting for their needs.
- Users find the **learning curve steep** , struggling to navigate dashboard building and limited resources for support.
- Users note the **missing features** in Sigma, such as limited visualizations and lack of scripting integration, affecting flexibility.

#### What Are Recent G2 Reviews of Sigma?

**["Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience"](https://www.g2.com/survey_responses/sigma-review-12573150)**

**Rating:** 4.0/5.0 stars

_— Keerthan P._

[Read full review](https://www.g2.com/survey_responses/sigma-review-12573150)

**["Sigma unlocks data value for our organization"](https://www.g2.com/survey_responses/sigma-review-10895340)**

**Rating:** 5.0/5.0 stars

_— Austin M._

[Read full review](https://www.g2.com/survey_responses/sigma-review-10895340)

#### What Are G2 Users Discussing About Sigma?

- [What is Sigma used for?](https://www.g2.com/discussions/what-is-sigma-used-for) - 1 comment

### [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews)

Jaspersoft is a reporting and embedded analytics solution that enables flexibility, increases productivity, and gives your business the power to seamlessly integrate data into your applications exactly how you want. Their robust reporting engine allows users to create "pixel-perfect" reports in multiple formats (PDF, Excel, HTML) for scalable distribution. It also can empower business users with ad-hoc reporting capabilities, enabling custom reports and visualizations without extensive technical knowledge. Deployable across on-premises, private, or hybrid cloud environments, and compatible with major providers like AWS, Azure, and Google Cloud, Jaspersoft helps businesses make data-driven decisions. Having a ready-to-use, customizable platform for business intelligence helps reduce the burden on development teams and allows users to easily create, manage, and deliver actionable insights directly within the applications they rely on.

**Average Rating:** 4.1/5.0

**Total Reviews:** 207

#### How Do G2 Users Rate Jaspersoft?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.7/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Jaspersoft?

- **Seller:** [Actian Corporation](https://www.g2.com/sellers/actian-corporation)
- **Company Website:** www.actian.com
- **Year Founded:** 1980
- **HQ Location:** Palo Alto, CA
- **Twitter:** @ActianCorp  
2,864 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ca9184082837f2b2ff6ed35b9d3d3d719b907d99d4b27f2e53dc1630e451cebc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2340954%2F&secure%5Burl_type%5D=linkedin_company_website)  
541 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 48% Medium, 31% Large

#### What Do G2 Reviewers Say About Jaspersoft?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **strong report generation capabilities** of Jaspersoft, enjoying its clarity and customization features.
- Users appreciate the **ease of use** of Jaspersoft, facilitating seamless report generation and scheduling across various formats.
- Users appreciate the **customization capabilities** of Jaspersoft, allowing tailored reports and effortless integration for their needs.
- Users value the **high performance** of Jaspersoft, efficiently handling large data volumes and ensuring smooth report generation.
- Users are impressed with the **responsive and knowledgeable customer support** from Jaspersoft, enhancing their overall experience.

##### Cons

- Users find the **poor UI** of Jaspersoft outdated and unintuitive, leading to a challenging learning curve.
- Users experience **slow performance** with Jaspersoft, especially when handling large datasets or executing multiple reports concurrently.
- Users experience **performance issues** when handling large datasets, causing delays in query execution and report generation.
- Users struggle with a **steep learning curve** in Jaspersoft, making report design challenging and time-consuming.
- Users experience **performance issues** with Jaspersoft, especially with large datasets and report generation, affecting overall usability.

#### What Are Recent G2 Reviews of Jaspersoft?

**["Flexible Reporting with Export Limitations"](https://www.g2.com/survey_responses/jaspersoft-review-11428195)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/jaspersoft-review-11428195)

**["Centralized Reporting with Domain Flexibility"](https://www.g2.com/survey_responses/jaspersoft-review-11425328)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/jaspersoft-review-11425328)

#### What Are G2 Users Discussing About Jaspersoft?

- [What is TIBCO Jaspersoft used for?](https://www.g2.com/discussions/what-is-tibco-jaspersoft-used-for) - 1 comment
- [How do you use Tibco Jaspersoft Studio?](https://www.g2.com/discussions/how-do-you-use-tibco-jaspersoft-studio)
- [Is Tibco jaspersoft free?](https://www.g2.com/discussions/is-tibco-jaspersoft-free)
- [What is jaspersoft used for?](https://www.g2.com/discussions/what-is-jaspersoft-used-for) - 1 comment
- [What is Tibco Jaspersoft?](https://www.g2.com/discussions/what-is-tibco-jaspersoft) - 1 comment

### [Domo](https://www.g2.com/products/domo/reviews)

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 1,035

#### How Do G2 Users Rate Domo?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Domo?

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk  
63,513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,299 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Computer Software, Marketing and Advertising
- **Company Size:** 49% Medium, 29% Large

#### What Do G2 Reviewers Say About Domo?

_AI-generated summary from verified user reviews_

##### Pros

- Users value Domo's **ease of use** , making it accessible for all, even those who aren't tech-savvy.
- Users value the **flexible dashboards** in Domo, allowing seamless data visualization from various sources.
- Users find Domo's **intuitive design** enhances data handling and decision-making, making it accessible for all skill levels.
- Users praise Domo for its **easy integrations** , enabling seamless data connections and enhancing data management efficiency.
- Users value the **seamless integration** capabilities of Domo, enhancing data management across various platforms and sources.

##### Cons

- Users find the **learning curve challenging** with Domo, often requiring dedicated resources to manage updates and functionalities.
- Users struggle with **missing features** in Domo, including outdated systems and limited capabilities in visualizations and connectors.
- Users are frustrated by **data management issues** , including upload adjustments and poor organization of datasets in Domo.
- Users find Domo to be **expensive** due to high costs associated with features and external consulting needs.
- Users find Domo's **complexity** overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

#### What Are Recent G2 Reviews of Domo?

**["Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"](https://www.g2.com/survey_responses/domo-review-13128007)**

**Rating:** 5.0/5.0 stars

_— Renee G._

[Read full review](https://www.g2.com/survey_responses/domo-review-13128007)

**["Fast, Reliable Dashboarding with Quick Data Connections in Domo"](https://www.g2.com/survey_responses/domo-review-13150907)**

**Rating:** 4.5/5.0 stars

_— Katie S._

[Read full review](https://www.g2.com/survey_responses/domo-review-13150907)

#### What Are G2 Users Discussing About Domo?

- [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment
- [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost)
- [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data)
- [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good)
- [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do)

### [Google Chart Tools](https://www.g2.com/products/google-chart-tools/reviews)

Interactive Charts and Data Tools.

**Average Rating:** 4.2/5.0

**Total Reviews:** 499

#### How Do G2 Users Rate Google Chart Tools?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Google Chart Tools?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Research Assistant, Manager
- **Top Industries:** Higher Education, Education Management
- **Company Size:** 44% Small, 29% Large

#### What Do G2 Reviewers Say About Google Chart Tools?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **effortless data transformation** into interactive charts with Google Chart Tools, simplifying their visualization process.
- Users appreciate the **ease of use** of Google Chart Tools, allowing effortless data transformation into interactive charts.
- Users value the **smooth integration** of Google Chart Tools with Google Sheets, enhancing their data visualization experience.
- Users appreciate the **effortless interactivity** of Google Chart Tools, easily transforming data into engaging visuals.

##### Cons

- Users find the **limited customization options** of Google Chart Tools disappointing for more advanced charting needs.
- Users find the **limited customization options** of Google Chart Tools disappointing, noting a lack of modern chart types.
- Users find the **lack of updates** and limited customization options of Google Chart Tools disappointing for advanced scenarios.

#### What Are Recent G2 Reviews of Google Chart Tools?

**["Effortless Data Visualization and Seamless Google Integration"](https://www.g2.com/survey_responses/google-chart-tools-review-12195067)**

**Rating:** 5.0/5.0 stars

_— Tiwari S._

[Read full review](https://www.g2.com/survey_responses/google-chart-tools-review-12195067)

**["Seamless Integration and Easy Creation of Complex Charts"](https://www.g2.com/survey_responses/google-chart-tools-review-12661987)**

**Rating:** 5.0/5.0 stars

_— Millen M._

[Read full review](https://www.g2.com/survey_responses/google-chart-tools-review-12661987)

#### What Are G2 Users Discussing About Google Chart Tools?

- [What is Google Chart Tools used for?](https://www.g2.com/discussions/what-is-google-chart-tools-used-for) - 2 comments, 1 upvote
- [What Google program makes graphs?](https://www.g2.com/discussions/what-google-program-makes-graphs)
- [Is Google Chart open source?](https://www.g2.com/discussions/is-google-chart-open-source)
- [How do I use Google charts?](https://www.g2.com/discussions/how-do-i-use-google-charts)
- [Are Google charts free?](https://www.g2.com/discussions/are-google-charts-free)

### [Looker](https://www.g2.com/products/looker/reviews)

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.

**Average Rating:** 4.4/5.0

**Total Reviews:** 1,590

#### How Do G2 Users Rate Looker?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Looker?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 60% Medium, 20% Large

#### What Do G2 Reviewers Say About Looker?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in Looker, enabling anyone to create reports without technical expertise.
- Users value Looker's **dynamics of real-time reporting** and seamless integration, enhancing decision-making and data visualization.
- Users appreciate the **easy integrations** of Looker, allowing seamless connectivity with multiple data sources for insightful analytics.
- Users value the **seamless integrations** within Looker, enhancing functionality and providing quality insights across platforms.
- Users appreciate Looker's **dynamic and live reporting** , which enhances real-time analytics and decision-making across multiple platforms.

##### Cons

- Users find the **steep learning curve** of Looker challenging, particularly for those without technical expertise.
- Users find Looker's interface challenging due to its **steep learning curve** and the complexity of LookML for beginners.
- Users experience **slow loading times** with Looker, particularly when dealing with large datasets, complicating dashboard creation.
- Users often experience **slow performance** with Looker, especially when dealing with complex data transformations and dashboard loading times.
- Users find Looker’s **complexity** challenging, with a steep learning curve and integration issues hindering efficiency.

#### What Are Recent G2 Reviews of Looker?

**["Transforms Data, But Challenging for Beginners"](https://www.g2.com/survey_responses/looker-review-12784757)**

**Rating:** 5.0/5.0 stars

_— Rahul S._

[Read full review](https://www.g2.com/survey_responses/looker-review-12784757)

**["Powerful once it's set up properly, that's once is doing a lot of work in that sentence"](https://www.g2.com/survey_responses/looker-review-12863840)**

**Rating:** 4.5/5.0 stars

_— Anurag S._

[Read full review](https://www.g2.com/survey_responses/looker-review-12863840)

#### What Are G2 Users Discussing About Looker?

- [What is Looker used for?](https://www.g2.com/discussions/what-is-looker-used-for) - 1 comment
- [Why is looker so powerful?](https://www.g2.com/discussions/why-is-looker-so-powerful)
- [Is looker an ETL tool?](https://www.g2.com/discussions/is-looker-an-etl-tool) - 4 comments
- [What is Looker software?](https://www.g2.com/discussions/what-is-looker-software)

### [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews)

Yellowfin is the only analytics suite that successfully combines action based dashboards with industry-leading automated analysis and data storytelling. By delivering the best analytical experience, Yellowfin provides your users with unique ways to engage with and act on their data, and addresses the needs of data analysts, business users, customers and developers who want to build, deploy or use amazing analytical experiences. Analytics for software companies Integrate and embed analytics with a difference into your app, your way \* Replace legacy or home grown reporting tools \* Embed a modern self-service analytics suite \* Deliver an exceptional customer experience Analytics for enterprise Get more value from your data in new and innovative ways \* Migrate from spreadsheets to a modern analytics platform \* Replace legacy BI applications \* Embed analytics into operational workflows Analytical Application Builders Leverage your domain expertise to create data products that delight \* Create unique data driven applications \* Close the loop on analytics \* Deliver insights as a service

**Average Rating:** 4.4/5.0

**Total Reviews:** 419

#### How Do G2 Users Rate Yellowfin BI?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Yellowfin BI?

- **Seller:** [Yellowfin](https://www.g2.com/sellers/yellowfin)
- **Year Founded:** 2003
- **HQ Location:** Austin, Texas
- **Twitter:** @YellowfinBI  
5,783 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=33032d8c5dedebf7f5eb6ce16c77c740fc71507c8ac4b965be708a6eced00b34&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F358856%2F&secure%5Burl_type%5D=linkedin_company_website)  
65 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** General Manager, Business Analyst
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Small, 35% Medium

#### What Do G2 Reviewers Say About Yellowfin BI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **user-friendly interface** of Yellowfin BI, enabling easy report and dashboard creation for all expertise levels.
- Users praise Yellowfin BI for its **user-friendly data visualization** , enabling effortless reporting and effective collaboration.
- Users appreciate the **intuitive setup** of Yellowfin BI, allowing for quick and easy access to powerful data insights.
- Users appreciate the **user-friendly interface** of Yellowfin BI, enabling fast, collaborative analytics without technical hurdles.
- Users value the **easy dashboard customization** of Yellowfin BI, enabling quick setups and effective data storytelling.

##### Cons

- Users experience a challenging **learning curve** with Yellowfin BI, finding advanced features non-intuitive and setup complex.
- Users notice that **large data handling** can lead to slower performance and longer filter refresh times.
- Users note that **slow performance** with large datasets limits efficiency, affecting their overall experience with Yellowfin BI.
- Users experience **performance issues** with slow dashboard loading times and complex updates, impacting overall efficiency.
- Users find **limited customization** in Yellowfin BI, restricting advanced analytics and modern visual design options.

#### What Are Recent G2 Reviews of Yellowfin BI?

**["Brilliant Data Storytelling and Robust Dashboards with Yellowfin BI"](https://www.g2.com/survey_responses/yellowfin-bi-review-12827644)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/survey_responses/yellowfin-bi-review-12827644)

**["Yellowfin BI Excels at Data Storytelling, Collaboration, and AI-Assisted Insights"](https://www.g2.com/survey_responses/yellowfin-bi-review-12809222)**

**Rating:** 4.5/5.0 stars

_— Rinalon E._

[Read full review](https://www.g2.com/survey_responses/yellowfin-bi-review-12809222)

#### What Are G2 Users Discussing About Yellowfin BI?

- [What is Yellowfin BI used for?](https://www.g2.com/discussions/what-is-yellowfin-bi-used-for)
- [What should I look for in a BI tool?](https://www.g2.com/discussions/what-should-i-look-for-in-a-bi-tool)
- [What is the best BI software?](https://www.g2.com/discussions/what-is-the-best-bi-software) - 1 comment
- [What are the benefits of business intelligence?](https://www.g2.com/discussions/what-are-the-benefits-of-business-intelligence)
- [What are the features of Business Intelligence?](https://www.g2.com/discussions/what-are-the-features-of-business-intelligence)

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
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)

#### What Are G2 Users Discussing About Oracle Analytics Cloud?

- [What is Oracle Analytics Cloud used for?](https://www.g2.com/discussions/what-is-oracle-analytics-cloud-used-for)
- [How do I import an RPD into Oracle Analytics Cloud?](https://www.g2.com/discussions/how-do-i-import-an-rpd-into-oracle-analytics-cloud)
- [What comes out of the box with Oracle Analytics for applications?](https://www.g2.com/discussions/what-comes-out-of-the-box-with-oracle-analytics-for-applications)
- [What's New in Oracle Analytics Cloud?](https://www.g2.com/discussions/what-s-new-in-oracle-analytics-cloud)
- [What is Oracle Analytics Cloud?](https://www.g2.com/discussions/oracle-analytics-cloud-what-is-oracle-analytics-cloud)

### [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:** www.strategy.com
- **Year Founded:** 1989
- **HQ Location:** Tysons Corner, VA
- **Twitter:** @MicroStrategy  
303,456 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f32382ee6ea0cc02d6dc7c1fe37038f1247aceba92d8d5030350f4ffb1e6c92&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstrategy%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,457 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Manager, Business Intelligence Developer
- **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)

#### What Are G2 Users Discussing About Strategy One (formerly MicroStrategy ONE)?

- [What is MicroStrategy used for?](https://www.g2.com/discussions/what-is-microstrategy-used-for)
- [What is the difference between tableau and MicroStrategy?](https://www.g2.com/discussions/what-is-the-difference-between-tableau-and-microstrategy)
- [How much does MicroStrategy cost?](https://www.g2.com/discussions/how-much-does-microstrategy-cost) - 1 comment
- [Why is MicroStrategy used?](https://www.g2.com/discussions/why-is-microstrategy-used)
- [What is MicroStrategy software?](https://www.g2.com/discussions/what-is-microstrategy-software)

### [Sisense](https://www.g2.com/products/sisense/reviews)

Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence.

**Average Rating:** 4.2/5.0

**Total Reviews:** 986

#### How Do G2 Users Rate Sisense?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.7/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Sisense?

- **Seller:** [Sisense, Inc.](https://www.g2.com/sellers/sisense-inc)
- **Company Website:** www.sisense.com
- **Year Founded:** 2004
- **HQ Location:** New York
- **Twitter:** @Sisense  
6,543 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2b7e7179b343ec502e8de8affd12c867bbf2bed15056ba11da8df09ff79586a2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F148828%2F&secure%5Burl_type%5D=linkedin_company_website)  
546 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Product Manager
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 24% Small

#### What Do G2 Reviewers Say About Sisense?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** and simple design of Sisense, making BI accessible for everyone.
- Users value the **intuitive data visualization** features of Sisense, which enable rapid and easy dashboard creation.
- Users value the **easy integration** with multiple systems, enhancing overall workflow and functionality for developers.
- Users praise the **helpful customer support** of Sisense, emphasizing responsiveness and effective assistance from CSMs.
- Users value the **intuitive dashboard customization** in Sisense, enabling rapid development of engaging, actionable visualizations.

##### Cons

- Users find the **learning curve steep** , with challenges in basic functionalities, training, and report organization.
- Users find **missing features** to be a barrier, struggling with report customization, data models, and aggregations.
- Users report frequent **bugs** and challenges with updates, formulas, visuals, and diminishing support quality in Sisense.
- Users often struggle with **dashboard issues** like limited column resizing, poor report management, and difficult filter navigation.
- Users find the **limited customization options** in Sisense complex, hindering their ability to create tailored dashboards.

#### What Are Recent G2 Reviews of Sisense?

**["Customizable Dashboards, but Data Freshness Challenges"](https://www.g2.com/survey_responses/sisense-review-8849455)**

**Rating:** 4.5/5.0 stars

_— Chris P._

[Read full review](https://www.g2.com/survey_responses/sisense-review-8849455)

**["Powerful BI Tool with Flexible Customization"](https://www.g2.com/survey_responses/sisense-review-8044935)**

**Rating:** 5.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/sisense-review-8044935)

#### What Are G2 Users Discussing About Sisense?

- [What is Sisense used for?](https://www.g2.com/discussions/sisense-what-is-sisense-used-for) - 1 comment
- [What is Sisense Healthcare Analytics used for?](https://www.g2.com/discussions/what-is-sisense-healthcare-analytics-used-for)
- [What does Sisense cost?](https://www.g2.com/discussions/what-does-sisense-cost)
- [Who uses Sisense?](https://www.g2.com/discussions/who-uses-sisense) - 1 comment
- [What is Sisense used for?](https://www.g2.com/discussions/what-is-sisense-used-for) - 2 comments

### [Reveal](https://www.g2.com/products/reveal-2022-05-24/reviews)

Reveal is a True SDK embedded analytics and business intelligence (BI) platform designed to be integrated natively into existing applications. Unlike iFrame-based or bolt-on BI tools, Reveal is purpose-built for embedding — delivering full analytical functionality inside any app with complete control over UX, branding, and architecture, and no separate licensing, infrastructure overhead, or complex setup. What Reveal does: Reveal enables software teams to add robust analytics and interactive dashboards to their products through a True SDK — meaning analytics run as a native part of your application, not an embedded webpage. End users get a self-service BI experience — including drag-and-drop dashboard creation, conversational AI analytics, data blending, drill-down, predictive analysis, dashboard linking, calculated fields, statistical functions, and interactive chart filtering — all within the host application. Platform and technology support: Reveal integrates with virtually any tech stack via native SDKs for: - Back-end frameworks: .NET Core, Java, Node.js - Front-end frameworks: React, Angular, Vue.js, Blazor, Web Components, jQuery, MVC - Java frameworks: Spring, Tomcat, Apache - Cloud providers: All major providers fully supported - Deployment options: Cloud, private cloud, on-premises, and air-gapped environments - Server operating systems: Windows, Linux, macOS Who it's for: Product and engineering teams building SaaS applications, enterprise software, or internal tools who need to embed analytics natively — without iFrames, redirects, or forcing users into a separate BI platform.

**Average Rating:** 4.6/5.0

**Total Reviews:** 59

#### How Do G2 Users Rate Reveal?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.7/10 (Category avg: 8.3/10)
- **Reports Interface:** 9.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Reveal?

- **Seller:** [Infragistics](https://www.g2.com/sellers/infragistics)
- **Company Website:** www.infragistics.com
- **Year Founded:** 1989
- **HQ Location:** Cranbury, NJ
- **Twitter:** @infragistics  
36,861 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c2809c8bbed8769da1ef9f9ed90d00489a04aded2b61f06fd445132137fc4794&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F16069%2F&secure%5Burl_type%5D=linkedin_company_website)  
188 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Small, 27% Medium

#### What Do G2 Reviewers Say About Reveal?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **white-label analytics** of Reveal, enabling seamless integration and enhanced user experiences without developer dependence.
- Users value the **flat-rate pricing** of Reveal, ensuring consistent costs despite significant usage increases.
- Users commend **business improvement** through Reveal's advanced brand control and self-service analytics, enhancing adoption and reducing developer workload.
- Users value the **seamless embedding** of Reveal, ensuring high performance even in regulated environments.
- Users praise the **fast and effective support** from Reveal, ensuring smooth functionality even with large data sets.

##### Cons

- Users find the **difficult setup** of Reveal requires extensive developer involvement, complicating integration and implementation.
- Users find the **initial difficulty** in learning the SDK challenging, requiring significant testing and adjustments to customize effectively.
- Users find the **learning curve steep** with Reveal's SDK, requiring testing and inquiries for advanced features.
- Users experience **software bugs** with new features, which, although fixed quickly, affect usability during updates.
- Users find **customization difficult** , as mastering the SDK requires significant time and testing for desired results.

#### What Are Recent G2 Reviews of Reveal?

**["Seamless integration that saves money and time"](https://www.g2.com/survey_responses/reveal-review-11758309)**

**Rating:** 5.0/5.0 stars

_— Tatiana R._

[Read full review](https://www.g2.com/survey_responses/reveal-review-11758309)

**["Seamless On-Premise Solution That Puts You in Control"](https://www.g2.com/survey_responses/reveal-review-12109831)**

**Rating:** 4.0/5.0 stars

_— Christopher W._

[Read full review](https://www.g2.com/survey_responses/reveal-review-12109831)

- ‹ Prev‹ Prev
- 1
- [2](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=2#product-list)
- [3](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=3#product-list)
- [4](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=4#product-list)
- [5](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=5#product-list)
- …
- [9](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=9#product-list)
- [10](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=10#product-list)
- [Next ›Next ›](/categories/embedded-business-intelligence?open_modal_url=%2Fproducts%2Flooker%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fembedded-business-intelligence%26source%3Dcategory&order=g2_score&page=2#product-list)

Spotlight Categories

[Core HR Software](https://www.g2.com/categories/core-hr)

[Accounts Receivable Software](https://www.g2.com/categories/accounts-receivable)

[Experience Management Software](https://www.g2.com/categories/experience-management)

[Data Observability Software](https://www.g2.com/categories/data-observability)

[Media Monitoring Software](https://www.g2.com/categories/media-monitoring)

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 October 3, 2024

Embedded business intelligence software provides analytics capabilities within the context of a business application. Software developers can use embedded business intelligence tools to quickly incorporate self-service analytics capabilities into business applications. Additionally, some [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms) and [self-service business intelligence software](https://www.g2.com/categories/self-service-business-intelligence) provide the ability to embed dashboards into applications used internally by employees, to allow for easier and more convenient analysis. The tools differ in terms of the degree of embeddability and the extent to which end users can customize the analytics and dashboards.

Embedded BI products provide developers with a software development kit for adding analytics functionality to a given application, making it easy to house the analytics inside a proprietary product. While these tools may be sold to enterprise companies to be deployed in internal systems, they are by and large sold to other software companies.

Embedded analytics are intended to be used by the average business user within an application, therefore they commonly offer self-service analysis functionality. However, if the product cannot be used as a standalone self-service business intelligence tool in addition to its embedding capability, it only qualifies for the Embedded Business Intelligence category.

To qualify for inclusion in the Embedded Business Intelligence category, a product must:

- Be able to be sold as an OEM product to other software development companies to be embedded within their application
- Be used by developers to embed analytics capabilities inside a business application
- Consume data from any source
- Allow users to transform data into a useful and relatable model embedded within a business application
- Create reports and visualizations with business utility embedded within a business application

Top Tools at a Glance

| 

 | 

Multi-source dashboard embedding inside Salesforce workflows

 | 

User Review

"Turning Complex Data into Actionable Insights"

 |
| 

 | 

Pay-per-session embedded analytics on AWS pipelines

 | 

User Review

"Fast, Serverless BI with Seamless AWS Integration"

 |
| 

 | 

White-labeled multi-tenant embedded analytics delivery

 | 

User Review

"Embedded Dashboards and Consistent Metrics That Cut Support Tickets"

 |
| 

 | 

Governed pixel-perfect reporting inside IBM enterprise ecosystems

 | 

User Review

"Powerful Reporting, Less Modern Interface"

 |
| 

 | 

Code-first notebooks with publishable self-serve apps

 | 

User Review

"All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards"

 |
| 

 | 

Snowflake-native embedded analytics with writeback

 | 

User Review

"Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience"

 |
| 

 | 

Pixel-perfect embedded reporting with scheduled delivery

 | 

User Review

"Centralized Reporting with Domain Flexibility"

 |
| 

 | 

Multi-source data embedding with no-code ETL

 | 

User Review

"Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"

 |
| 

 | 

Google-native embedded charting for web applications

 | 

User Review

"Seamless Integration and Easy Creation of Complex Charts"

 |

* * *

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)