# Best Embedded Business Intelligence Software

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   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





## Category Overview

**Total Products under this Category:** 146


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 17,700+ Authentic Reviews
- 146+ 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.


## Best Embedded Business Intelligence Software At A Glance

- **Leader:** [Tableau](https://www.g2.com/products/tableau/reviews)
- **Highest Performer:** [Reveal](https://www.g2.com/products/reveal-2022-05-24/reviews)
- **Easiest to Use:** [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)
- **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews)
- **Best Free Software:** [Looker](https://www.g2.com/products/looker/reviews)


---

**Sponsored**

### Astrato

𝗔𝘀𝘁𝗿𝗮𝘁𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲-𝗻𝗮𝘁𝗶𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝗲𝗺𝗯𝗲𝗱, 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗖𝗹𝗶𝗰𝗸𝗛𝗼𝘂𝘀𝗲, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗗𝗿𝗲𝗺𝗶𝗼. Astrato's zero-copy architecture connects to the warehouse via a live-query engine, which means every dashboard, report, and workflow runs against the source data in real time — without extracts, data movement, or cached copies. Security policies such as row-level access controls and PII masking are inherited directly from the warehouse, reducing governance overhead for IT and data teams. 𝗧𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗿𝗲𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: • 𝗚𝘂𝗶𝗱𝗲𝗱 𝘀𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗜. A no-code interface with 70+ out-of-the-box chart types allows business users to explore data, build dashboards, and generate reports without SQL. A shared semantic layer ensures governed, reusable metric definitions across all users and content. No-code Actions let designers chain clicks, filters, and navigation into guided flows — so end users get an app-like experience, not a blank dashboard. • 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. Fully white-labeled dashboards and workflows can be embedded into external products, portals, CRMs, ERPs, and intranet tools. Three embedding modes are supported — single object, grouped visuals, or full interactive workbooks — delivered via iframe with mobile-responsive layouts. Multi-tenant isolation is enforced at both warehouse and application level via row-level filters, group permissions, and SSO pass-through. Built-in usage telemetry tracks engagement, exploration patterns, and drop-off. • 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝘀 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Writeback capabilities let users push data back into the warehouse from any dashboard, app, or embedded view — supporting planning, forecasting, approvals, and field updates. No-code forms with validation, conditional logic, and multi-step flows can be built without engineering. Action buttons can trigger stored procedures, external functions, Salesforce updates, Slack posts, and emails, so analytics drive downstream action. 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. Live, branded reports generated from the warehouse and delivered automatically in PDF, Excel, PowerPoint, or image format to email, Slack, Microsoft Teams, or SharePoint. Teams can upload their own Excel or PowerPoint templates and have them populated with live data at run-time. Per-recipient row-level security ensures governed distribution, and reports can be archived to S3, Google Drive, or SharePoint for audit and compliance. • 𝗚𝗲𝗻 𝗔𝗜 & 𝗕𝗜 𝗖𝗼𝗽𝗶𝗹𝗼𝘁. Contextual AI Insights generate summaries that regenerate as users filter and drill. BI Copilot accelerates build time by generating chart titles, business-friendly field labels, and complex measures like YoY growth or retention from plain-language input. Custom Report lets end users ask questions in natural language and get visualizations back. Every AI output is grounded in the semantic layer. Bring your own LLM — Snowflake Cortex, OpenAI, Azure OpenAI, Claude by Anthropic, or Google Gemini — or use the default provider. With Snowflake Cortex, queries execute inside the warehouse and data never leaves. Admins control AI features via independent per-capability toggles. • 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. Dashboards can be embedded with full white-label control over colours, fonts, logos, layout, and domain. Authentication is handled via SSO pass-through, OAuth, or token-based access. SCIM and APIs support automated user provisioning at scale. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹. Role-based access control across view, edit, design, export, and admin. Workbook lifecycle governance with draft, version, publish workflows and change tracking. Row-level security inherited from the warehouse or configured per semantic layer. • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: SOC 2 Type II, ISO 27001 certified, HIPAA compliant, GDPR-ready. Snowflake Technology Partner and Google Cloud Ready – BigQuery. Astrato is used by data teams, product teams, and analytics leaders across SaaS companies, data businesses, agencies, and enterprises. Pricing is structured to scale with embedded use cases involving large numbers of external users.



[Visit company 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%5Bdisplayable_resource_id%5D=622&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=622&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=166447&secure%5Bresource_id%5D=622&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fembedded-business-intelligence%2Fsmall-business&secure%5Btoken%5D=024edc69e01623fa58f0a059b986a9703a68b52801243340cb69728a1d0a5e65&secure%5Burl%5D=https%3A%2F%2Fwww.astrato.io%3Futm_source%3Dg2%26utm_medium%3Dppc&secure%5Burl_type%5D=custom_url)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [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:** 3,495

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.2/10 (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)


**Seller Details:**

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** https://www.salesforce.com/
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce (581,281 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (88,363 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Business Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (634 reviews)
- Data Visualization (563 reviews)
- Visualization (424 reviews)
- Features (351 reviews)
- Intuitive (317 reviews)

**Cons:**

- Learning Curve (282 reviews)
- Learning Difficulty (240 reviews)
- Expensive (225 reviews)
- Slow Performance (155 reviews)
- Difficulty (139 reviews)

  ### 2. [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:** 205

**User Satisfaction Scores:**

- **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:** 8.0/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group)
- **Company Website:** https://www.cloud.com/
- **HQ Location:** Fort Lauderdale, FL
- **Twitter:** @cloudsoftware (123 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cloudsoftwaregroup/ (9,677 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 49% Mid-Market, 30% Enterprise


#### Pros & Cons

**Pros:**

- Report Generation (39 reviews)
- Ease of Use (33 reviews)
- Customization (18 reviews)
- Performance (17 reviews)
- Customer Support (14 reviews)

**Cons:**

- Poor UI (12 reviews)
- Slow Performance (12 reviews)
- Large Data Handling (11 reviews)
- Learning Curve (10 reviews)
- Performance Issues (9 reviews)

  ### 3. [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:** 668

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **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 (2,223,984 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

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


#### Pros & Cons

**Pros:**

- Integrations (72 reviews)
- Ease of Use (71 reviews)
- Easy Integrations (60 reviews)
- Data Visualization (44 reviews)
- Dashboard Management (42 reviews)

**Cons:**

- Limited Customization (69 reviews)
- Learning Curve (38 reviews)
- Limited Visualization (28 reviews)
- Missing Features (22 reviews)
- Poor Interface Design (20 reviews)

  ### 4. [GoodData](https://www.g2.com/products/gooddata/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:** 4.2/5.0
  **Total Reviews:** 555

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [GoodData](https://www.g2.com/sellers/gooddata)
- **Year Founded:** 2007
- **HQ Location:** San Francisco, CA
- **Twitter:** @gooddata (12,647 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/202760/ (283 employees on LinkedIn®)
- **Phone:**  (415) 200-0186

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Product Manager
  - **Top Industries:** Computer Software, Consumer Services
  - **Company Size:** 44% Mid-Market, 39% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (52 reviews)
- Data Visualization (34 reviews)
- Integrations (34 reviews)
- Intuitive (30 reviews)
- Customization (28 reviews)

**Cons:**

- Learning Curve (28 reviews)
- Learning Difficulty (19 reviews)
- Missing Features (19 reviews)
- Complexity (13 reviews)
- Limited Customization (12 reviews)

  ### 5. [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)
  Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 543

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Sigma Computing](https://www.g2.com/sellers/sigma-computing)
- **Company Website:** https://www.sigmacomputing.com/
- **Year Founded:** 2014
- **HQ Location:** San Francisco, California
- **Twitter:** @sigmacomputing (1,548 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/7801411/ (1,437 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Customer Success Manager
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 58% Mid-Market, 21% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (73 reviews)
- User Interface (29 reviews)
- Customer Support (27 reviews)
- Data Visualization (27 reviews)
- Data Handling (26 reviews)

**Cons:**

- Slow Loading (23 reviews)
- Slow Performance (22 reviews)
- Limited Customization (20 reviews)
- Learning Curve (17 reviews)
- Missing Features (14 reviews)

  ### 6. [Hex](https://www.g2.com/products/hex-tech-hex/reviews)
  Hex is the world’s best 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:** 381

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Hex Tech](https://www.g2.com/sellers/hex-tech)
- **Company Website:** https://hex.tech/
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @_hex_tech (6,787 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hex-technologies/ (222 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Data Scientist
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 54% Mid-Market, 22% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (130 reviews)
- SQL Queries (81 reviews)
- Data Management (79 reviews)
- SQL Querying (74 reviews)
- Data Analysis (62 reviews)

**Cons:**

- Limited Features (45 reviews)
- Missing Features (41 reviews)
- Lacking Features (38 reviews)
- Limited Visualization (30 reviews)
- Data Management Issues (29 reviews)

  ### 7. [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews)
  IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Create reports , dashboards , visualize, analyze, integrating reporting, modeling, dashboards, data exploration and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 393

**User Satisfaction Scores:**

- **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:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** https://www.ibm.com/us-en
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 59% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (36 reviews)
- Report Generation (17 reviews)
- Analytics (15 reviews)
- Data Visualization (15 reviews)
- User Interface (12 reviews)

**Cons:**

- Learning Curve (18 reviews)
- Learning Difficulty (10 reviews)
- Slow Performance (9 reviews)
- Complexity (8 reviews)
- Complex Usage (6 reviews)

  ### 8. [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:** 414

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Yellowfin](https://www.g2.com/sellers/yellowfin)
- **Year Founded:** 2003
- **HQ Location:** Austin, Texas
- **Twitter:** @YellowfinBI (5,796 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/358856/ (63 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** General Manager, Business Analyst
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 46% Small-Business, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (98 reviews)
- Data Visualization (47 reviews)
- Dashboard Customization (35 reviews)
- Intuitive (32 reviews)
- Report Generation (32 reviews)

**Cons:**

- Learning Curve (42 reviews)
- Slow Performance (30 reviews)
- Large Data Handling (29 reviews)
- Performance Issues (22 reviews)
- Limited Customization (17 reviews)

  ### 9. [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:** 983

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** https://www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk (63,711 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,334 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Business Analyst
  - **Top Industries:** Computer Software, Marketing and Advertising
  - **Company Size:** 49% Mid-Market, 29% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (248 reviews)
- Data Visualization (116 reviews)
- Intuitive (95 reviews)
- Easy Integrations (93 reviews)
- Integrations (88 reviews)

**Cons:**

- Learning Curve (66 reviews)
- Missing Features (59 reviews)
- Data Management Issues (55 reviews)
- Expensive (45 reviews)
- Complexity (43 reviews)

  ### 10. [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

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,885,216 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

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


#### Pros & Cons

**Pros:**

- Data Visualization (1 reviews)
- Ease of Use (1 reviews)
- Integrations (1 reviews)
- Interactivity (1 reviews)

**Cons:**

- Limited Customization (1 reviews)
- Limited Features (1 reviews)
- Update Issues (1 reviews)

  ### 11. [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:** 292

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (827,310 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 61% Enterprise, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Analytics (3 reviews)
- Data Visualization (3 reviews)
- Ease of Use (3 reviews)
- Scalability (3 reviews)
- Business Improvement (2 reviews)

**Cons:**

- Learning Curve (4 reviews)
- Complexity (2 reviews)
- Complex Usage (2 reviews)
- Limited Customization (2 reviews)
- Bugs (1 reviews)

  ### 12. [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:** 1,557

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,885,216 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Data Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 60% Mid-Market, 20% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (126 reviews)
- Insights (75 reviews)
- Easy Integrations (70 reviews)
- Integrations (70 reviews)
- Data Visualization (62 reviews)

**Cons:**

- Learning Curve (58 reviews)
- Learning Difficulty (42 reviews)
- Slow Loading (36 reviews)
- Slow Performance (36 reviews)
- Complexity (32 reviews)

  ### 13. [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

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy)
- **Company Website:** https://www.strategy.com/software
- **Year Founded:** 1989
- **HQ Location:** Tysons Corner, VA
- **Twitter:** @MicroStrategy (302,648 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/strategy/ (3,404 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Manager, Business Intelligence Developer
  - **Top Industries:** Retail, Financial Services
  - **Company Size:** 62% Enterprise, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- Innovation (7 reviews)
- Easy Setup (6 reviews)
- Customization (4 reviews)
- Dashboard Customization (4 reviews)

**Cons:**

- Learning Difficulty (5 reviews)
- Learning Curve (4 reviews)
- Missing Features (4 reviews)
- Complex Usage (3 reviews)
- Access Restrictions (2 reviews)

  ### 14. [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews)
  ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 312

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [ThoughtSpot](https://www.g2.com/sellers/thoughtspot)
- **Company Website:** https://www.thoughtspot.com
- **Year Founded:** 2012
- **HQ Location:** Mountain View, CA
- **Twitter:** @thoughtspot (10,986 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2647843/ (1,695 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Enterprise, 42% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (63 reviews)
- Insights (43 reviews)
- Analytics (31 reviews)
- Intuitive (23 reviews)
- Data Visualization (21 reviews)

**Cons:**

- Learning Curve (23 reviews)
- Missing Features (13 reviews)
- Learning Difficulty (8 reviews)
- Complexity (7 reviews)
- Limited Customization (7 reviews)

  ### 15. [Reveal](https://www.g2.com/products/reveal-2022-05-24/reviews)
  Reveal is a business intelligence solution that is purpose-built for embedded analytics. It comes with no added requirements, flexible architecture, and no complex licensing, so that you can add robust analytical capabilities to any existing application. Reveal’s native SDKs can be integrated into applications on any platform and tech stack, including .NET Core, Java, NodeJS, and front-end technologies such as React, Angular, WebComponent, VueJS, jQuery, MVC, and Java Frameworks like Spring, Tomcat, and Apache. We fully support every cloud provider, every back-end application framework, like Java, .NET, and Node.js, and every server operating system, including Windows, Linux, and MacOS. Reveal offers a plethora of embedded analytics features, including intuitive drag-and-drop functionality for a simple dashboard creation experience, predictive analysis, dashboard linking, data blending, calculated fields, statistical functions, drill-down, interactive chart filtering, and more.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 59

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Infragistics](https://www.g2.com/sellers/infragistics)
- **Company Website:** https://www.infragistics.com/
- **Year Founded:** 1989
- **HQ Location:** Cranbury, NJ
- **Twitter:** @infragistics (36,934 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/16069/ (198 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 53% Small-Business, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Analytics (7 reviews)
- Pricing (3 reviews)
- Business Improvement (2 reviews)
- Embedding Features (2 reviews)
- Performance (2 reviews)

**Cons:**

- Difficult Setup (2 reviews)
- Initial Difficulty (2 reviews)
- Learning Curve (2 reviews)
- Software Bugs (2 reviews)
- Customization Difficulty (1 reviews)

  ### 16. [Microsoft Power BI Embedded](https://www.g2.com/products/microsoft-power-bi-embedded/reviews)
  Power BI Embedded provides a simple and straightforward way to bring visual analytics into your app instead of building it yourself. It simplifies Power BI capabilities by helping you quickly add stunning visuals, reports, and dashboards. Similar to apps built on Microsoft Azure use services like Machine Learning and IoT. By enabling easy-to-navigate data exploration in your solutions, allow your customers to make quick, informed decisions in context. The Power BI product suite allows you to author, publish, share, and embed visual interactive reports and dashboards. Use Power BI Desktop to create and distribute content - for free. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 104

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.3/10)
- **Reports Interface:** 9.2/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.9/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,105,844 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Mid-Market, 36% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (2 reviews)
- Business Improvement (1 reviews)
- Dashboard Customization (1 reviews)
- Data Visualization (1 reviews)
- Ease of Creation (1 reviews)

**Cons:**

- Learning Curve (2 reviews)
- Learning Difficulty (2 reviews)
- Formatting Issues (1 reviews)
- Initial Difficulty (1 reviews)

  ### 17. [Intellicus](https://www.g2.com/products/intellicus/reviews)
  Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use data to accelerate their growth. Intellicus Technologies tailor solutions based on your needs, instead of retrofitting them to ‘customizable’ one-size-fits-all solutions. Intellicus offers end-to-end data integration through ETL, integrating sophisticated databases, ERP solutions, legacy systems, telephony, ACDs till flat file systems into a data warehouse that becomes the single source of truth. Intellicus’ self-serve reporting, OLAP capabilities and interactive analytics dashboards allow users to drill down & drill up, zoom out or slice-and-dice data to create a 360-degree view of the business. Auto-ML based what-if predictions deliver power and agility to small and large enterprises so that they can make business critical decisions based on science. Ready to take the next step in your digital transformation? Write to marketing@intellicus.com today


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 119

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (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:** 8.3/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Intellicus Technologies](https://www.g2.com/sellers/intellicus-technologies)
- **Company Website:** https://www.intellicus.com
- **Year Founded:** 2004
- **HQ Location:** Los Gatos, CA
- **Twitter:** @Intellicus (277 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/intellicus-technologies (229 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 59% Mid-Market, 23% Enterprise


#### Pros & Cons

**Pros:**

- Reporting (29 reviews)
- Ease of Use (25 reviews)
- Dashboard Customization (19 reviews)
- Data Analysis (19 reviews)
- Data Visualization (18 reviews)

**Cons:**

- Complex Usability (18 reviews)
- Difficult Learning (18 reviews)
- Learning Curve (18 reviews)
- Complexity (10 reviews)
- Learning Difficulty (10 reviews)

  ### 18. [Bold BI](https://www.g2.com/products/bold-bi/reviews)
  Bold BI® by Syncfusion® is a modern, flexible analytics platform that empowers everyone—from business users to developers—to turn raw data into meaningful insights, fast. Whether you're embedding analytics into your application or building dashboards from scratch, Bold BI makes it easy to deliver powerful, interactive data experiences without compromising on performance or security. With an intuitive no-code, drag-and-drop interface, even non-technical users can create stunning dashboards in minutes. Meanwhile, developers enjoy deep customization through robust APIs, SDKs, and white-labeling options, making it simple to integrate analytics seamlessly into any application. With support for 130+ data sources, including Microsoft SQL Server, Azure SQL Data Warehouse, Oracle, REST APIs, Bold Datahub, and more, Bold BI offers unmatched data flexibility and connectivity. Designed for secure, scalable deployments, the platform’s multi-tenant architecture and enterprise-grade security features single sign-on (SSO) via OAuth2 and OpenID and role-based access control to ensure data protection and simplified user management. Real-time dashboard sharing, scheduled alerts, and export options make collaboration effortless, helping teams stay aligned and make faster, data-driven decisions. Backed by Syncfusion, Bold BI offers end-to-end expert support, ideal for organizations looking to scale their analytics. Customers benefit from 24/5 assistance through free scheduled support calls, live chat, and email—from onboarding to full implementation. NOTE: Older reviews may reference the historical product name, "Syncfusion Dashboard Platform."


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 88

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (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:** 8.3/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Syncfusion](https://www.g2.com/sellers/syncfusion)
- **Company Website:** https://www.syncfusion.com
- **Year Founded:** 2001
- **HQ Location:** Morrisville, North Carolina
- **Twitter:** @Syncfusion (11,932 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/123064/ (2,568 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 51% Small-Business, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Customer Support (17 reviews)
- Ease of Use (16 reviews)
- Integrations (12 reviews)
- Dashboard Customization (8 reviews)
- Embedding Features (8 reviews)

**Cons:**

- Bugs (8 reviews)
- Learning Curve (7 reviews)
- Difficult Setup (6 reviews)
- Software Bugs (5 reviews)
- Dashboard Issues (4 reviews)

  ### 19. [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:** 969

**User Satisfaction Scores:**

- **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)


**Seller Details:**

- **Seller:** [Sisense, Inc.](https://www.g2.com/sellers/sisense-inc)
- **Company Website:** https://www.sisense.com
- **Year Founded:** 2004
- **HQ Location:** New York
- **Twitter:** @Sisense (6,551 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/148828/ (541 employees on LinkedIn®)

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


#### Pros & Cons

**Pros:**

- Ease of Use (81 reviews)
- Data Visualization (50 reviews)
- Integrations (45 reviews)
- Customer Support (40 reviews)
- Dashboard Customization (38 reviews)

**Cons:**

- Learning Curve (37 reviews)
- Missing Features (28 reviews)
- Bugs (21 reviews)
- Dashboard Issues (20 reviews)
- Limited Customization (17 reviews)

  ### 20. [Luzmo](https://www.g2.com/products/luzmo/reviews)
  Luzmo helps businesses embed data products hassle-free, empowering their users with fast, confident decisions in record time.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 70

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Luzmo NV](https://www.g2.com/sellers/luzmo-nv)
- **Year Founded:** 2015
- **HQ Location:** Brooklyn, US
- **Twitter:** @luzmo_official (895 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10198259/ (51 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 59% Small-Business, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- Embedding Features (5 reviews)
- Customization (4 reviews)
- Insights (4 reviews)
- Setup Ease (4 reviews)

**Cons:**

- Complexity (2 reviews)
- Limited Options (2 reviews)
- Performance Issues (2 reviews)
- Table Limitations (2 reviews)
- Bugs (1 reviews)

  ### 21. [Toucan](https://www.g2.com/products/toucan/reviews)
  Toucan is an AI-embedded analytics platform designed to assist independent software vendors (ISVs) and SaaS companies in integrating advanced analytics features directly into their products, eliminating the need for building these capabilities from the ground up. This platform is tailored specifically for customer-facing applications, meaning that the end users are the clients of these companies rather than internal analysts. By enabling product and operations teams to configure and deploy analytics features independently, Toucan streamlines the development process and reduces reliance on data engineering resources. The target audience for Toucan primarily includes ISVs and SaaS companies across various industries, such as fintech, HR tech, and marketing technology. These organizations often seek to enhance their product offerings with sophisticated analytics capabilities that provide value to their users. With Toucan, product teams can quickly implement features that allow end users to interact with data in meaningful ways. This is particularly beneficial for companies looking to differentiate themselves in competitive markets by offering robust analytics without the lengthy development cycles typically associated with such features. Toucan's key capabilities include conversational AI analytics, which empowers end users to pose questions in natural language and receive instant data visualizations. This feature is anchored in a governed semantic layer, ensuring that the insights provided are consistent and reliable. Additionally, the platform offers automatic dashboard generation through AI, allowing users to customize layouts, colors, and metrics without requiring technical expertise. The white-label, multi-tenant embedding options ensure that analytics seamlessly integrate into existing products, creating a native experience for users. Security and compliance are paramount in today's data-driven landscape, and Toucan addresses these concerns with row-level security and granular permissions. This ensures that each end user only accesses their specific data, making it suitable for regulated industries where data privacy is critical. Furthermore, Toucan supports connections to modern data infrastructures, such as PostgreSQL, MySQL, and AWS Redshift, and offers both SaaS and self-hosted deployment options to meet various organizational needs. The platform's no-code builder is a standout feature, enabling product and operations teams to create, edit, and publish dashboards without any coding knowledge. This capability significantly reduces dashboard development time—by up to two-thirds compared to traditional in-house builds—allowing ISVs to launch reporting modules in days instead of months. By embedding analytics as a premium feature, organizations can also create new revenue streams, enhancing their overall product value while minimizing additional development overhead. With over 350 clients already leveraging its capabilities, Toucan is positioned as a powerful solution for companies looking to enhance their analytics offerings.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 179

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Toucan Toco](https://www.g2.com/sellers/toucan-toco)
- **Company Website:** https://toucantoco.com
- **Year Founded:** 2015
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @Toucan_Toco (2,401 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3661933/ (76 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst
  - **Top Industries:** Computer Software, Banking
  - **Company Size:** 43% Small-Business, 30% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (8 reviews)
- Easy Integrations (8 reviews)
- Data Visualization (7 reviews)
- Integrations (7 reviews)
- Insights (6 reviews)

**Cons:**

- Complexity (2 reviews)
- Complex Usage (2 reviews)
- Learning Curve (2 reviews)
- Limited Customization (2 reviews)
- Bugs (1 reviews)

  ### 22. [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews)
  Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](-	https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D)


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 759

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik (64,285 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,529 employees on LinkedIn®)
- **Phone:** 1 (888) 994-9854

**Reviewer Demographics:**
  - **Who Uses This:** Consultant, Data Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Enterprise, 41% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (55 reviews)
- Data Visualization (31 reviews)
- Analytics (28 reviews)
- Insights Discovery (24 reviews)
- Features (22 reviews)

**Cons:**

- Limited Features (17 reviews)
- Missing Features (16 reviews)
- Expensive (14 reviews)
- Data Management (13 reviews)
- Learning Curve (13 reviews)

  ### 23. [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews)
  Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 277

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho (137,251 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,531 employees on LinkedIn®)
- **Phone:** +1 (888) 900-9646 

**Reviewer Demographics:**
  - **Who Uses This:** Director, Business Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 50% Small-Business, 43% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (39 reviews)
- Analytics (34 reviews)
- Integrations (28 reviews)
- Dashboard Usability (22 reviews)
- Data Visualization (22 reviews)

**Cons:**

- Learning Curve (22 reviews)
- Limited Customization (14 reviews)
- Data Integration (10 reviews)
- Integration Issues (10 reviews)
- Missing Features (10 reviews)

  ### 24. [datapine](https://www.g2.com/products/rib-software-datapine/reviews)
  datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 26

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Steps to Answer:** 10.0/10 (Category avg: 8.3/10)
- **Reports Interface:** 10.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 10.0/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [RIB Software](https://www.g2.com/sellers/rib-software)
- **Year Founded:** 1961
- **HQ Location:** Stuttgart, DE
- **Twitter:** @RIB_Global (1,222 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rib-software/ (1,338 employees on LinkedIn®)
- **Ownership:** ETR:RIB

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 42% Small-Business


  ### 25. [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews)
  Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 36

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.3/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.0/10 (Category avg: 8.5/10)


**Seller Details:**

- **Seller:** [Plotly](https://www.g2.com/sellers/plotly)
- **Year Founded:** 2013
- **HQ Location:** Montréal, CA
- **Twitter:** @plotlygraphs (41,370 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3327684/ (119 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 47% Small-Business, 31% Enterprise


#### Pros & Cons

**Pros:**

- Charting Features (1 reviews)
- Coding Ease (1 reviews)
- Customer Support (1 reviews)
- Dashboard Management (1 reviews)
- Data Visualization (1 reviews)




## Parent Category

[Business Intelligence Software](https://www.g2.com/categories/business-intelligence)



## Related Categories

- [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools)
- [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics)
- [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)



---

## Buyer Guide

### 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. 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.

### 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

Embedded business intelligence software tend to have a wide range of features, including visualization and reporting and data modeling. 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.

_Researched and written by _[_Matthew Miller_](https://research.g2.com/insights/author/matthew-miller)