# Best Embedded Business Intelligence Software - Page 10

  *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




  
## How Many Embedded Business Intelligence Software Products Does G2 Track?
**Total Products under this Category:** 147

### Category Stats (May 2026)
- **Average Rating**: 4.41/5 (↓0.01 vs Apr 2026)
- **New Reviews This Quarter**: 91
- **Buyer Segments**: Mid-Market 46% │ Enterprise 30% │ Small-Business 25%
- **Top Trending Product**: CorityOne (+0.095)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Embedded Business Intelligence Software Products?

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

- 30 Analysts and Data Experts
- 17,900+ Authentic Reviews
- 147+ 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.

  
## Which Embedded Business Intelligence Software Is Best for Your Use Case?

- **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)

  
---

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---

  
    ## What Is Embedded Business Intelligence Software?
  [Business Intelligence Software](https://www.g2.com/categories/business-intelligence)
  ## What Software Categories Are Similar to Embedded Business Intelligence Software?
    - [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)
    - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)
    - [ETL Tools](https://www.g2.com/categories/etl-tools)
    - [Data Preparation Software](https://www.g2.com/categories/data-preparation)
    - [Semantic Layer Tools](https://www.g2.com/categories/semantic-layer-tools)

  
---

## 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. 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)