SaaS BI is not about just fancy chart formation, but it’s more about actionable intelligence information delivered where you need it. Embedded analytics is becoming a standard feature for SaaS applications providing real-time insights, and helping drive better decision-making.
The rise for self-service analytics platforms is rising, with the global business intelligence market to grow at 9% CAGR to $63.7 Billion by 2032. Businesses need to make data-driven decisions for optimizing workflows, and user journey, driving revenue, and improving performance.
Embedded Business Intelligence (BI) are at the forefront of driving change for modern businesses, and offering seamless ways to integrate rigorous dashboards, and analytics into your SaaS platform.
Stop juggling with multiple tools, and enter embedded SaaS BI for leveraging data-backed decision-making. Let’s dive in to see what embedded SaaS BI tools are, and top platforms for your business.
What is Embedded BI?
So what is ‘embedded BI’? It would seem familiar if you have been using any SaaS tool that offers reporting, and analytics.
Embedded BI involves integrating Business Intelligence tools, and functionality directly with your SaaS app user interface. Reliance on external reporting and BI tools would be reduced when using embedded analytics for your SaaS. Users can easily access reports, dashboards, and analytics within the environment of your application.
Using such solutions by the tech teams when developing their SaaS applications, this empowers users with real-time insights giving a more informed and data-driven experience. For SaaS companies and .Net developers, understanding and implementing embedded SaaS Intelligence has become a necessity for catering to user needs, and staying ahead of the competition.
Benefits of Integrating BI into Your SaaS Application
Integrating BI directly into your SaaS application offers several benefits:
- Enhanced User Experience: Users can get immediate access to relevant information, and data within the application they use daily.
- Increased Engagement: Users can be better engaged with the platform by exploring data and creating custom reports with your SaaS platform.
- Improved Decision-Making: Empowering users with real-time analytics leads to more informed and strategic decisions.
- New Revenue Streams: Offering advanced analytics as a premium feature can unlock new revenue opportunities for SaaS products.
- Competitive Advantage: Differentiating your SaaS platform with robust Business Intelligence capabilities will give you an edge over the competition.
Integrating embedded analytics for SaaS not only enhances user experience but also provides deeper insights, enabling data-driven decision-making.
How is Embedded SaaS BI helping .Net developers?
.Net developers can enhance their platforms and applications with SaaS business intelligence tools. Developers can enable users to work and access data within the existing workflow by integrating analytics directly into the SaaS applications which will eliminate the need to switch between different tools.
How Embedded BI is used In SaaS?
In SaaS, embedded BI provides real-time insights directly within the software, empowering users to make informed decisions without leaving the application. This is especially valuable for SaaS platforms aimed at businesses that need quick, and actionable intelligence.
Many BI applications offer open-source files, and APIs that can be used to easily integrate reporting features with the SaaS tool.
Key Considerations When Choosing an Embedded SaaS BI Solution
Selecting the right SaaS BI tool requires careful evaluation of several factors:
- Integration Capabilities: Ensure the solution seamlessly integrates with .Net environments via robust APIs and SDKs.
- Scalability: Cloud-based BI Solutions should handle increasing data volumes and a growing user base without compromising performance.
- Customization: Tailor the BI solution to match your SaaS platform’s look and feel, maintaining a consistent user experience.
- Data Security: Implement robust security features, including encryption and access controls, to protect sensitive data within the BI environment.
- Ad-hoc Reporting: Empower users to easily create custom reports which will allow them to explore data and generate insights without needing any technical skill set.
- Cost: Balance features with the given budget, considering the total cost of ownership, including licensing, implementation, and maintenance.
Top 10 Embedded BI for SaaS Platforms in 2025
Let’s look in detail the best best embedded BI for SaaS platforms you should try this year.
1. Dotnet Report
Dotnet Report ranks top on our list of the best embedded BI for SaaS platforms. It is an ad-hoc reporting platforms designed specifically for .Net developers. The tool enable end users and developers to quickly create custom reports, and dashboards using their data connectors.
Dotnet Report makes the data visualization more simpler, and these reports can be securely embedded within the SaaS, and .Net applications.
Key Features:
- Ad Hoc Reporting: Enables end-users to create, manage, and run reports on their own without developer intervention.
- Drag-and-Drop Interface: An intuitive drag-and-drop interface makes creating custom reports and dashboards easy for .NET developers of all skill levels.
- Seamless Integration: Designed for .NET reporting, Dotnet Report embeds and integrates seamlessly with existing .NET applications.
- Open-Source Front End: The Report Designer code is open-source, allowing maximum flexibility and customization.
- Data Connectivity: Connects directly and securely to data within the hosting environment.
- Graphs and Charts: Easily create various types of graphs, including bar, pie, and line charts, with customization options.
Pros:
- Specifically designed for .NET environments, offering seamless integration.
- Empower end-users to create their reports, reducing the burden on development teams.
- The open-source front end provides maximum flexibility and customization options.
- Cost-effective solution compared to other BI tools, saving development teams time and money.
- Offers robust data connectivity options, ensuring secure access to data.
Cons:
- Focus primarily on ad-hoc reporting might lack some of the advanced analytics features found in comprehensive BI platforms like predictive analytics or complex data modeling.
- While the front end is open-source, the extent of customization might require development expertise.
- May not be suitable for organizations requiring business intelligence across a broad range of non-dot NET applications.
Pricing:
- Free Trial is available.
- You can book a free demo.
- Customized pricing, so contact the sales team for a pricing quote.
2. Looker
Looker, a part of Google Cloud, is a modern business intelligence and analytics platform that helps organizations transform data into actionable insights. It emphasizes data modelling, embedded analytics, and governed data access, enabling users to explore data, create custom dashboards, and integrate analytics into applications.
Looker is particularly strong for organizations that need a robust, scalable, and secure BI solution integrated with the Google Cloud ecosystem.
Key Features:
- Semantic Modeling Layer: Provides a single source of truth for data, ensuring consistent metrics and definitions across the organization.
- Embedded Analytics: Seamlessly integrate interactive dashboards and visualizations into applications, portals, and websites.
- API-First Platform: Enables the creation and customization of data applications, providing flexibility for developers.
- AI-Powered Analytics: AI assistant to accelerate analytical workflows such as the creation and configuration of visualizations, formula creation, data modelling, and report creation.
- Data Monetization: Enables businesses to create tailored data products and monetize their data assets securely.
- Real-Time Dashboards: Offers enterprise dashboards built on governed data, enabling repeatable analysis and in-depth understanding.
- Integration with Google Cloud: Seamlessly integrates with BigQuery, Google Marketing Platform, and Google Workspace for enhanced data analysis and insights.
Pros:
- Strong data modeling capabilities ensure data consistency and accuracy across the organization.
- Flexible embedded analytics options allow for seamless integration of data into applications and workflows.
- A scalable and secure platform built on the Google Cloud infrastructure.
- Robust API coverage enables extensive customization and integration possibilities.
- An AI-powered assistant helps accelerate analytical workflows.
- Supports data monetization strategies, enabling businesses to generate new revenue streams.
Cons:
- The steeper learning curve for non-technical users due to its emphasis on data modeling.
- Pricing can be complex and potentially higher compared to other BI tools.
- Requires a solid understanding of SQL and data modeling concepts.
- Dependency on the Google Cloud ecosystem may be a drawback for organizations using other cloud providers.
Pricing:
Looker’s pricing structure has two components: platform pricing and user pricing. Contact sales to identify a solution that works for you.
- Platform Pricing: Cost to run a Looker instance which includes administration, integrations, and semantic modeling.
- User Pricing: Cost for individual user licenses.
3. Power BI
Microsoft Power BI is a leading business intelligence and analytics platform that enables users to visualize data, share insights, and make data-driven decisions.
It is designed to be accessible to both business users and data professionals, offering tools for data preparation, analysis, visualization, and reporting.
Power BI stands out for its integration with the Microsoft ecosystem, AI-powered features, and scalability for both self-service and enterprise BI.
Key Features:
- Data Connectivity: Connect to various data sources, including databases, files, and cloud services, with built-in connectors and data transformation tools.
- Interactive Visualizations: Create a wide range of interactive charts, graphs, maps, and custom visuals to explore data and uncover insights.
- AI-Powered Insights: Use AI features to find patterns, create reports instantly, generate summaries, and get answers in conversational language.
- Embedded Analytics: Embed fully interactive reports into apps, websites, and portals with Power BI Embedded (an Azure service).
- Integration with Microsoft 365: Seamlessly integrate reports and dashboards into Microsoft Teams, Excel, PowerPoint, and other Microsoft 365 apps.
- Governed Data Hub: Establish a source of truth for data with the OneLake data hub, ensuring data consistency and reliability.
- Microsoft Fabric Integration: Integrate, process, analyze, monitor, and visualize data using the Microsoft Fabric suite of workloads within Power BI.
- Real-Time Dashboards: Monitor real-time data streams and track key metrics with live dashboards and alerts.
Pros:
- Seamless integration with the Microsoft ecosystem, including Microsoft 365, Azure, and Power Platform.
- AI-powered features provide advanced insights and automation capabilities.
- Scalable platform for both self-service and enterprise BI, capable of handling large data volumes.
- Strong data governance and security features, including Microsoft governance, security, and compliance certifications.
- Active community and extensive resources for support, training, and best practices.
- Affordable pricing options, including a free version and cost-effective plans for different user needs.
Cons:
- The complexity of Power BI’s features may present a learning curve for new users.
- Customization options may be limited compared to some other BI tools.
- Reliance on the Microsoft ecosystem may be a drawback for organizations primarily using other platforms.
Pricing:
Power BI offers various licensing options to suit different needs:
- Power BI Free: Limited functionality for personal use.
- Power BI Pro: $10 per user per month – Enables users to create reports and share them with others.
- Power BI Premium Per User: $20 per user per month
- Power BI in Microsoft Fabric: A pay-as-you-go Azure platform as a service (PaaS) offering.
4. Embeddable
Embeddable is a developer-first embedded analytics platform transforming how SaaS teams deliver customer-facing dashboards. It enables product and engineering teams to build fast, interactive, and fully native analytics experiences directly inside their applications — without relying on iframes or heavyweight BI systems. Embeddable focuses on speed, extensibility, and seamless integration, making it a top choice for modern SaaS products that require complete control over performance, design, and user experience.
Key Features:
Native Embedding (No iframes):
Embed dashboards using lightweight web components or React/Vue SDKs, ensuring analytics feel like part of your product’s own UI/UX.
Code-Level Customization:
Developers can modify, extend, or fully replace charts in code, or import any React charting library for total control over theming and interaction.
High-Performance Architecture:
Embeddable’s multi-layer caching and high-speed data service deliver millisecond load times at scale, even for large or complex datasets.
No-Code Dashboard Builder:
Product and business teams can build and update dashboards visually, allowing fast iteration without constant engineering involvement.
Semantic Modeling & Data Flexibility:
Connect directly to all major SQL databases and warehouses, with optional Cube.js-based modeling for structured, centralized data logic.
Self-Serve Dashboards (“Custom Canvas”):
End users can explore data, customize views, drill down into details, export results, and personalize dashboards instantly (even using custom components!).
Secure Multi-Tenant Support:
SOC 2 Type II, GDPR-compliant, row-level security, and robust data partitioning for enterprise-grade SaaS deployments.
Pros:
- Dashboards feel 100% native inside your product – no iframe boundaries.
- Extremely fast performance at scale with configurable caching.
- Powerful end-user self-serve feature: ‘Custom Canvas’
- Developer-friendly with full extensibility, SDKs, APIs, CI/CD, and version control.
- Balanced no-code + code approach empowers both technical and non-technical teams.
- Predictable fixed-price model (no per-user or per-session fees).
- Strong security and multi-tenant architecture support.
Cons:
- Requires some frontend development for highly bespoke designs.
- Smaller plugin ecosystem compared to legacy BI platforms.
- Not designed for internal BI or ad-hoc querying – purpose-built for customer-facing analytics.
Pricing:
Embeddable offers transparent fixed subscription pricing – no per-user, per-dashboard, or per-session fees. Enterprise plans available for teams requiring SLAs, dedicated support, and advanced deployment options.
5. Qlik Sense
Qlik Sense is a data analytics platform that empowers everyone in your organization to make data-driven decisions. It uses an associative engine that allows users to explore connections in their data, revealing insights traditional query-based tools might miss. Qlik Sense emphasizes self-service analytics, data literacy, and a cloud-first architecture.
Key Features:
- Associative Engine: Explore connections between data points regardless of where the data is located, uncovering hidden insights.
- Data Preparation and Connectivity: A complete set of data preparation and integration capabilities, enabling users to work with data from various sources.
- Data Catalog: Self-service catalog of analytics-ready data to easily find and trust the right data, with insight into its origin and journey.
- Application Automation: Build automation workflows and trigger event-driven actions in Qlik Sense and other cloud applications with low-code environment.
- Collaboration and Notes: Add narrative and context to analytics, create discussion threads, and support team decision-making with critical business context.
- AI-Powered Analytics: AI assistant generates smart suggestions and automation to help users uncover insights.
Pros:
- The associative engine enables unique data exploration capabilities that traditional BI tools lack.
- Self-service analytics empowers users to create their visualizations and dashboards without needing technical expertise.
- Comprehensive data preparation and connectivity features streamline the data integration process.
- Strong collaboration and social features support team decision-making.
Cons:
- The associative model may require users to rethink how they approach data analysis.
- Can be complex for advanced analysis.
Pricing:
- Analytics pricing starting at $825/month
6. Sisense
Sisense is a cloud-native analytics platform that goes beyond traditional dashboards, providing embeddable analytics designed to drive fast, actionable outcomes directly within applications.
It focuses on empowering app creators to build interactive analytics into products and applications, enabling better decision-making. Sisense aims to bridge the gap between insights and action by making app development more intuitive and accessible.
Key Features:
- Embeddable Analytics: Seamlessly integrate analytics into products and applications, enabling users to access insights within their existing workflows.
- AI-Powered Features: AI-powered features help build data-rich products, making app development more intuitive for users of all technical levels.
- APIs and SDKs: Provide app builders with APIs and SDKs to easily customize and integrate analytics into products without requiring data science experience.
- Composable Analytics: Jumpstart your journey with composable analytics, providing your end-users with game-changing insights.
Pros:
- Accelerates innovation with decision intelligence, allowing you to leapfrog traditional BI tools.
- Composable analytics enables rapid integration of analytical components.
- Empowers app creators to build interactive analytics into products, improving user experience.
Cons:
- Users reported problems with the Elasticube feature
- Some marketing analytics connectors are not so user-friendly
Pricing:
- Book a free demo to learn about the pricing
7. Domo
Domo is a cloud-based AI and data products platform designed to strengthen the entire data journey, enabling businesses to connect to data from any source, prepare it for exploration, and accelerate insights. Domo emphasizes ease of use, real-time analytics, and the democratization of data across the enterprise.
Key Features:
- Data Connectors: Easily connect and move data from any source.
- Data Preparation: Tools to prepare and expand data access for exploration, transforming raw data into ready-to-use insights.
- AI Capabilities: Combines data analysis with AI to simplify complex data, automate workflows, and predict trends.
- Real-Time Analytics: Provides real-time analytics, enabling users to explore data through AI conversations and share insights.
- Data Security: Offers encryption and access controls to ensure secure data exploration.
- Embedded Analytics: Recognized as a Leader in the 2023 Nucleus Research Report on Embedded Analytics (as stated on the Domo website).
Pros:
- Democratizes data across the enterprise, making it accessible to a wide range of users.
- Offers a wide range of data connectors, simplifying data integration.
- AI-powered features automate workflows and provide advanced insights.
- Focuses on real-time analytics, enabling quick, informed decision-making.
- Offers robust data security features, ensuring data privacy and compliance.
- Offers embedded analytics.
Cons:
- Bit costly for small businesses
- Steep learning curve, and product adoption
- Some functionalities are confusing
Pricing:
- Domo does not provide straightforward pricing information on its website. Interested users must contact Domo to get a pricing quote based on their specific requirements.
- Free 30 days trial is available
8. Dundas BI (now part of InsightSoftware’s Logi Symphony)
Dundas BI, now part of Insightsoftware’s Logi Symphony, is a highly customizable, open, and fully programmable data analytics platform designed for embedding into SaaS applications. It empowers product managers and developers to enrich their applications with advanced data prep, interactive dashboards, reporting, and visual data analytics.
Designed with software vendors and developers in mind, Dundas BI enables the creation of white-labeled analytics solutions to improve customer satisfaction, close more deals, and generate new revenue streams.
Key Features:
- Customizable Embedded Analytics: Allows for the creation of custom, white-labeled data analytics solutions that seamlessly integrate with existing applications.
- Interactive Dashboards: Enables users to engage with data through interactive dashboards with drill-down and analytical capabilities.
- Self-Service Ad-Hoc Reporting: Empowers users to create their own reports, reducing the burden on development teams.
- Data Preparation: Provides data prep tools to add structure and calculations to data from multiple sources.
- Multi-tenancy Support: Cost-effectively scales operations and maximizes resources with multi-tenancy capabilities.
Pros:
- Highly flexible and customizable, allowing for the creation of tailored analytics solutions.
- Designed specifically for embedded analytics scenarios, providing seamless integration with SaaS applications.
- Empower end-users with self-service reporting capabilities.
- Offers a low total cost of ownership and massive return on investment with multi-tenancy support.
- Provides a consistent user experience with white-labeling capabilities.
Cons:
- The level of customization and programmability may require development expertise.
Pricing:
- Dundas BI’s unique software vendor licensing model supports multi-tenancy, allowing you to cost-effectively scale operations and maximize resources. Pricing details vary and can be obtained by contacting Insight Software to find out the pricing details.
9. SAP Business Objects
SAP BusinessObjects Business Intelligence (BI) suite is a centralized suite for data reporting, visualization, and sharing. As the on-premise BI layer for SAP’s Business Technology Platform, it transforms data into useful insights, available anytime, anywhere.
It’s designed to support growth, from a few to tens of thousands of users, and from a single tool to multiple tools and interfaces.
Key Features:
- Data Reporting: Robust capabilities for creating a wide variety of reports, from simple to complex.
- Data Visualization: Tools to visualize data in meaningful ways, helping users identify patterns and trends.
- Centralized Suite: Provides a centralized platform for data reporting, visualization, and sharing.
- Scalable Architecture: Supports growth from a few to tens of thousands of users.
- Flexible Architecture: Can support growth from a single tool to multiple tools and interfaces.
- On-Premise Deployment: Provides real-time business intelligence.
- User Autonomy: Simplified, personalized, and dynamic information consumption.
Pros:
- Offers a flexible architecture that can support growth and changing business needs.
- Provides a centralized platform for data reporting, visualization, and sharing.
- Simplifies information consumption.
- Provides increased user autonomy.
Cons:
- Primarily an on-premise solution, which may not be ideal for organizations seeking a cloud-native embedded BI solution.
- Costly BI option for many businesses
Pricing:
- When deployed on-premise, the SAP BusinessObjects BI suite requires a perpetual license, allowing you to license and pay only for the functionality and users you need. A subscription is required based on the number of users you need when you deploy the private cloud edition.
- SAP BusinessObjects BI (user): Request a quote by contacting the sales team.
10. Reveal BI
Reveal BI is a business intelligence solution purpose-built for embedded analytics. It focuses on delivering full-featured self-service dashboards and modern reporting with a branded experience in any JavaScript framework, Windows Forms, or WPF application. Reveal emphasizes ease of integration, fixed pricing, and cross-platform support.
Key Features:
- True Embedded SDK: Integrates analytics directly into your app, providing full control over branding, deployment, and functionality.
- Drag-and-Drop Dashboard Designer: Intuitive designer speeds up development cycles.
- Fixed Pricing Model: Offers a fixed pricing model, eliminating rising price traps and allowing for unlimited users.
- Cross-Platform Support: Seamlessly integrates with .NET Core, Java, React, Angular, and more.
- Custom Visualizations: Offers features like drill-downs, advanced filtering, and custom visualizations.
Pros:
- Offers a true embedded SDK, providing greater control and customization compared to iFrame solutions.
- Reduces time-to-market with a plug-and-play SDK and intuitive dashboard designer.
- Provides cost predictability with a fixed pricing model.
- Supports cross-platform development, accommodating various tech stacks.
Cons:
- Pricing is not clear on the website
- More suitable for app analytics, and lacks advanced features for other platforms.
Pricing:
- Contact sales for a price quote
How to Successfully Implement Embedded SaaS BI?
Implementing embedded SaaS BI requires a strategic approach. Here are the key steps for successful implementation:
- Define Reporting Requirements: Identify the specific reporting needs of your SaaS platform and its users.
- Prepare Your Data: Ensure data is clean, well-structured, and ready for integration with the BI tool.
- Customize the Interface: Tailor the BI interface to match your SaaS platform’s look and feel, creating a seamless user experience.
- Test and Optimize: Thoroughly test the embedded BI solution to optimize its performance.
- Train Your Users: Provide comprehensive training to users on the new BI capabilities, ensuring they can effectively utilize the tool.
Empowering Your SaaS Platform with Data-Driven Intelligence
Embedded SaaS BI is transformative, enhancing user experience, driving engagement, and unlocking new revenue streams. By carefully selecting and strategically implementing the right solution, you can empower your SaaS platform with data-driven intelligence, gaining a competitive edge.
Choosing the right Cost-effective analytics platforms is a critical decision that can significantly impact the success of your SaaS platform.
Embedded SaaS BI tools like Dotnet Report can help improve user engagement, and boost revenue for your application.
Bring the power of insight to any application! See how Dotnet Report can easily integrate, customize, and scale reporting features for your .NET applications. Book a free demo and unlock the power of embedded analytics!
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