In today’s fast-paced business world, data is everything. But raw data alone isn’t enough—it must be accessible, insightful, and actionable. That’s where Embedded Business Intelligence (BI) comes in. Instead of switching between multiple platforms for analytics, Embedded BI integrates powerful data visualization and reporting directly into your existing applications. This means users get real-time insights right where they need them, enhancing productivity and decision-making.

But with so many Embedded BI solutions available, how do you pick the right one? Should you choose a feature-rich industry leader like Tableau or a flexible modern alternative like Explo? Do you prioritize customization, security, or cost? These are key questions every business must answer when choosing an Embedded BI tool.

To make your decision easier, we’ve put together a list of the 8 best Embedded BI solutions for 2025. We’ll break down their features, pros, and cons so you can find the perfect match for your business. Whether you’re looking for deep analytics, self-service BI, or AI-powered insights, we’ve got you covered. Let’s dive in and explore the top Embedded BI tools that can take your business intelligence to the next level!

What is Embedded BI ?

Embedded Business Intelligence (BI) is the seamless integration of analytics and reporting capabilities directly into business applications, software, or websites. Instead of using separate BI tools, users can access insights, dashboards, and reports within the platforms they already use—eliminating the need to switch between multiple tools.

Think of it this way: Instead of exporting data to an external BI tool, Embedded BI brings analytics to where decisions are made. Whether it’s a CRM, ERP, or SaaS platform, businesses can empower users with real-time data visualizations, predictive analytics, and AI-powered insights without disrupting their workflow.

For example, an E-commerce platform can embed customer analytics to help sellers track sales performance without leaving the app. A healthcare system can integrate BI to provide real-time patient insights for doctors. This embedded approach not only enhances user experience but also drives better decision-making and operational efficiency.

With data becoming a key differentiator in today’s business world, Embedded BI is no longer a luxury—it’s a necessity. Companies that adopt it gain a competitive edge by making data-driven insights accessible to all users, from executives to frontline employees, in real-time and within their workflows.

How does Embedded BI work?

Embedded BI seamlessly integrates analytics, reporting, and visualization into business applications, allowing users to access real-time insights without switching tools.

How It Works:

1. Data Collection & Integration – Connects to databases (SQL, NoSQL), cloud storage (AWS S3, Google Cloud), and APIs (Salesforce, Shopify). Uses ETL to keep data updated.
2. Data Processing & Analytics – AI-driven insights, data aggregation, and custom business logic help generate meaningful reports.
3. Data Visualization & Interaction – Displays insights through interactive dashboards, charts, drill-down analytics, and automated reports within the application.

Key Features:

• Seamless Integration – APIs, SDKs, and iFrames embed analytics effortlessly.
• Self-Service Analytics – Users create reports without a data team.
• AI-Driven Insights – Predictive analytics enhance decision-making.
• Security & Access Control – Role-based permissions protect sensitive data.

Real-World Example:

A customer support platform with Embedded BI can show live customer query metrics, agent performance, and predictive churn analysis—all within the application—enabling faster, data-driven decisions. Embedded BI simplifies analytics, enhances productivity, and improves business decisions by keeping insights where users need them most.

Key Considerations While Choosing an Embedded BI Solution 

Selecting the right Embedded Business Intelligence (BI) solution is critical for ensuring smooth integration and a seamless user experience. Here are some key considerations to guide your decision-making process:

1. Integration Capabilities

The first thing to evaluate is how well the BI solution integrates with your existing systems. A top-tier embedded BI tool should connect easily with your data sources, applications, and third-party tools. This ensures that data flows smoothly between systems and is always up-to-date. Look for BI solutions that offer APIs, SDKs, and support for cloud platforms like AWS, Azure, or GCP, which can simplify the integration process and reduce time to deployment.

2. Customization

No two businesses are alike, and your BI solution should be flexible enough to meet your specific needs. Whether it’s the design of dashboards, the types of reports, or the way data is displayed, customization options allow you to tailor the solution to your organization’s workflow. A good embedded BI tool should let you modify data visualizations, colors, and branding to match your company’s aesthetic and deliver a personalized user experience.

3. Scalability

As your business grows, so will your data. It’s essential to choose a BI solution that can scale with your needs. Look for tools that support large volumes of data and have the capability to handle increased users and complex queries over time. Scalability ensures that the solution remains effective as your organization evolves, preventing the need for frequent system overhauls.

4. Security

Embedded BI solutions deal with sensitive business data, so security is paramount. Ensure the solution offers data encryption, user access controls, and compliance with industry regulations like GDPR or HIPAA. Role-based access allows you to restrict data visibility to only those who need it, preventing unauthorized access and data breaches.

5. User Experience

An intuitive and user-friendly interface is crucial for ensuring that users can easily navigate the BI solution without extensive training. Interactive dashboards, drag-and-drop functionality, and real-time data updates enhance the user experience, enabling users to access insights quickly and efficiently. Look for tools that offer customizable templates for different user types—whether they’re data scientists, analysts, or business leaders.

6. Cost

Cost is always a significant factor. Evaluate the pricing model of the Embedded BI solution—whether it’s subscription-based, pay-per-use, or one-time licensing. Consider additional costs like implementation, training, and maintenance. While the most feature-rich options may come at a higher price, weigh the costs against the value they’ll bring to your business in terms of improved decision-making and efficiency.

8 Best Embedded BI Solutions of 2025

1. Explo

Features

Explo is an embedded analytics platform designed to provide users with self-service BI tools. It allows businesses to create personalized, interactive data visualizations and custom reports. With its real-time data integration capabilities, Explo connects seamlessly with your existing data sources to deliver up-to-date insights directly within your business applications. The platform’s key features include:

• Customizable dashboards tailored to specific business needs
• Data exploration tools for discovering patterns and trends
• No-code interface, allowing users to create reports without technical expertise
• User access controls to manage permissions and data visibility

Pros

• Ease of Use: Explo’s intuitive, no-code interface makes it accessible for non-technical users, empowering teams across the organization.
• Real-Time Data: Ensures that users always have access to the most current information.
• Flexible Integrations: Easily integrates with a wide range of data sources and applications.
• Custom Branding: Customizable visuals and layouts to align with company branding and improve user experience.
• Scalability: Suitable for businesses of all sizes, from startups to large enterprises.

2. Tableau Embedded Analytics

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Features

Tableau Embedded Analytics enables businesses to integrate advanced data visualization and business intelligence capabilities directly into their applications. It offers a comprehensive set of features that help organizations make data-driven decisions. Key features include:

• Drag-and-drop interface for easy creation of visualizations
• Real-time data updates from multiple sources
• Interactive dashboards for end-users to explore and manipulate data
• Embedded analytics APIs for seamless integration into applications
• Advanced data analytics like forecasting, clustering, and trend analysis

Pros

• Powerful Visualization: Tableau is known for its rich and intuitive data visualization capabilities, offering a wide range of charts and graphs.
• Wide Integration Support: It can connect to various data sources, including SQL databases, cloud platforms, and more.
• Customizable Reports: Offers tailored reports that can be embedded in customer-facing applications.
• Strong Community and Support: With a vast user base, Tableau offers extensive documentation, tutorials, and community-driven resources.

Cons

• Cost: Tableau can be pricey, especially for smaller organizations or teams.
• Learning Curve: While powerful, it can take some time to master Tableau’s advanced features.

3. Looker (Google Cloud BI)

Features

Looker, now part of Google Cloud, is a data exploration and analytics platform that allows businesses to embed data insights directly into their workflows. It provides a rich set of data visualization and reporting tools, focusing on delivering accurate insights with minimal effort. Looker’s key features include:

• Data modeling layer (LookML) for creating reusable, business-friendly definitions of your data
• Real-time analytics to ensure data is always up-to-date
• Custom dashboards and interactive data exploration tools
• Seamless integration with Google Cloud products and other data sources

Pros

Looker is highly regarded for its advanced data modeling capabilities, allowing businesses to define their data in a consistent and reusable manner. It also integrates well with Google Cloud services, making it a natural choice for organizations already using Google’s ecosystem. The platform offers excellent scalability, making it ideal for large enterprises. Additionally, customizable dashboards allow businesses to tailor their visualizations to meet specific needs, offering greater flexibility in reporting.

Cons

Looker’s reliance on LookML may require a steep learning curve for users unfamiliar with its modeling language. Additionally, while it integrates well with Google Cloud, users who are not on this platform may find some of its integrations more limited.

4. Sisense Embedded Analytics

Sisense is a robust embedded BI solution that integrates interactive dashboards, custom visualizations, and self-service analytics into applications. Its Elasticube technology enables fast, in-memory data processing, while AI-driven insights enhance decision-making.

Key features

• Data fusion to combine multiple sources into a unified view
• Embedded widgets for customizable reports and visualizations
• White-labeling options for seamless branding integration
• Scalability to handle large datasets efficiently

Pros

• Powerful data modeling and aggregation
• AI-driven insights for smarter decision-making
• White-label dashboards for brand consistency
• Scalable for businesses of all sizes

Cons

• The interface may feel less intuitive for some users
• Setup can be complex for non-technical teams

5. Domo Everywhere

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Domo Everywhere is an embedded analytics platform that allows businesses to share real-time insights with stakeholders, partners, and customers. It enables embedding customizable dashboards, reports, and visualizations directly into applications or websites.

Key features

• Real-time data streaming for up-to-date insights
• Pre-built integrations with tools like Salesforce, Google Analytics, etc.
• Drag-and-drop dashboard creation
• Collaborative decision-making features
• API access for advanced integration

Domo integrates seamlessly with both cloud and on-premises data sources, offering flexibility for businesses of all sizes.

Pros

• User-Friendly Interface: Domo’s drag-and-drop dashboard creation makes it easy for non-technical users to design and customize dashboards.
• Real-Time Analytics: Domo offers live data streaming, ensuring users always have access to the latest insights for timely decision-making.
• Scalable: Suitable for businesses of all sizes, with the ability to scale as your data needs grow.

Cons

• Pricing: The platform can be expensive, particularly for smaller businesses.
• Customization Complexity: Advanced customization options require more technical knowledge and expertise.
• Performance Issues: Some users have reported performance slowdowns when handling large datasets.

6. Qlik Embedded Analytics

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Qlik Embedded Analytics is a powerful BI platform that integrates data visualizations and analytics directly into business applications. Its associative data engine allows users to explore data from multiple sources and uncover insights that would otherwise go unnoticed.

Key features

• Associative Engine for data exploration across various data sources
• Real-time Analysis and dashboard embedding
• Drag-and-Drop Interface for easy customization of visualizations
• Advanced Analytics and predictive modeling
• Mobile Optimization for seamless access across devices

Qlik’s in-memory data processing and data integration capabilities make it a robust choice for businesses needing scalable and customizable solutions across industries.

Pros

• Associative Data Engine: Enables connections between disparate data sources, revealing deeper insights.
• Real-Time Analysis: Provides up-to-date insights with real-time data processing.
• Advanced Analytics: Includes predictive analytics and machine learning to inform business decisions.

Cons

• Steep Learning Curve: The interface can be complex, making it difficult for new users to get started.
• Pricing: Qlik is relatively expensive, which may be a challenge for small businesses.
• Integration Complexity: Setting up integrations requires technical expertise.

7. Yellowfin BI

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Yellowfin BI offers an intuitive embedded analytics solution that helps organizations visualize and interact with data. Its features include drag-and-drop visualizations, interactive dashboards, and natural language processing for querying data. The platform excels in data storytelling and real-time analysis, ensuring timely decision-making.

Features

• Drag-and-drop visualizations for easy report creation
• Collaborative Tools to share insights and make decisions
• Machine Learning Insights for advanced data analysis
• Data Storytelling to present data in engaging formats
• Real-Time Data Analysis for up-to-date insights

Yellowfin’s flexibility and scalability make it ideal for embedding into applications, websites, and business systems.

Pros

• Data Storytelling: Makes complex data easy to understand
• Machine Learning Insights: Provides predictive analysis for smarter decisions
• Collaboration: Enhances teamwork through shared insights and discussions

Cons

• Pricing: Can be expensive for small businesses
• Learning Curve: Advanced features may require time to master

8. Mode Analytics

Mode Analytics is an embedded BI solution that combines SQL, Python, and R for advanced analytics and custom reports. It offers real-time dashboards, collaborative features, and seamless integration with data warehouses like Snowflake, BigQuery, and Redshift. Mode's white labeling and API support make it highly customizable for businesses.

Pros

• Multi-language support: Allows users to write SQL, Python, and R in the same environment.
• Real-time data updates: Ensures that insights are always up to date.
• Strong collaboration features: Enables teams to work together on reports and visualizations.
• Scalability: Suitable for startups and enterprises alike.
• Flexible embedding options: Offers white-labeling and API integration for a seamless user experience.

Cons

• Steeper learning curve: Requires technical knowledge to fully utilize SQL, Python, and R capabilities.
• Limited drag-and-drop functionality: Less beginner-friendly compared to tools like Tableau or Qlik.
• Pricing: This can be expensive for smaller businesses, especially for advanced features.

How to Choose the Right Embedded BI Solution

Selecting the right Embedded BI solution depends on your business requirements, technical capabilities, and budget. Since different tools offer varying levels of flexibility, scalability, and integration support, it's essential to evaluate them based on your specific needs. Here’s a structured approach to making the right choice:

1. Identify Business Needs

Start by defining what you expect from an Embedded BI solution. Do you need real-time analytics, predictive modeling, or self-service dashboards? Understanding your business objectives will help you narrow down your options.

2. Evaluate Integration Capabilities

Ensure that the BI tool integrates seamlessly with your existing databases, applications, and cloud environments. Look for pre-built connectors for platforms like Snowflake, BigQuery, and AWS to minimize development efforts.

3. Consider Scalability

As your business grows, your analytics needs will evolve. Choose a solution that supports large datasets, high query performance, and multi-user access without slowing down.

4. Check Customization & User Experience

The best Embedded BI tools allow you to customize dashboards, reports, and visualizations to match your branding. Additionally, a user-friendly interface ensures both technical and non-technical users can leverage insights effectively.

5. Security & Compliance

Data security is critical. Opt for solutions with role-based access control (RBAC), data encryption, and compliance with regulations like GDPR and HIPAA to ensure data protection.

6. Analyze Cost & ROI

Pricing models vary—some charge per user, per query, or based on data volume. Consider the total cost, including implementation, training, and ongoing maintenance, to ensure the best return on investment. By carefully evaluating these factors, you can select an Embedded BI solution that aligns with your business goals and provides long-term value.

Conclusion

Embedded BI empowers businesses to seamlessly integrate analytics into their applications, enhancing data-driven decision-making. While various solutions offer robust features, Explo stands out with its effortless integration, white-labeling, and user-friendly approach. Unlike complex BI tools, Explo enables teams to embed interactive dashboards quickly without heavy engineering efforts. 

Explo’s scalability ensures businesses of all sizes can provide real-time insights to users without compromising performance. Whether you're a startup looking for a flexible solution or an enterprise needing deep analytics, it simplifies embedded BI, making data accessible and actionable. Choosing Explo means prioritizing efficiency, customization, and a seamless user experience.