Most enterprise BI platforms were built for internal reporting, not for modern SaaS products utilizing customer-facing analytics. They sit outside your application, fragment your UX, and delay decision-making. Modern enterprise software requires analytics that are intuitive, embedded, and self-service by design. Reveal was built to deliver exactly that—with no iFrames, no handoffs, and no compromises.

Choosing the wrong embedded analytics platform slows your roadmap, increases dev burden, and weakens the product experience. Many tools check feature boxes but fail on pricing models, embedding control, integration fit, and long-term scale. This side-by-side comparison will help you evaluate the top 12 embedded analytics platforms on the features that matter

Embedded analytics has become a critical requirement for modern SaaS products. Whether you’re building an application from the ground up or adding dashboards into an existing application, the ability to seamlessly integrate analytics into your UX—without compromising speed, scale, or flexibility—can significantly impact user experience and development velocity.

When starting a new project, deciding which Angular dashboard library to use is crucial for the project’s success. A well-chosen library can streamline your development process and enhance your application’s analytics capabilities.

Find out how to integrate embedded analytics into Angular applications with a .NET Core backend, for better decision-making capabilities that drive engagement and ROI.

In this guide, we’ll cover the key 2025 requirements for selecting an embedded analytics platform, how it benefits product analytics, and the current available implementation methods.

By embedding product analytics into your product strategy, you’ll have the data you need to not only optimize performance, but also ensure long-term success. Find out more in our guide below.

Embedded analytics has become a vital component of modern applications, providing users with real-time insights that drive smarter decisions. However, integrating these analytics seamlessly into your existing systems is often easier said than done.

Software providers are under increasing pressure to increase customer engagement and enhance the value of their applications to meet the evolving needs of their customers.

In this article, we’ll explore the implications of limited customization in embedded analytics and why it’s a critical issue for CTOs, product managers, and development teams.