Stay up to date with Reveal

Reveal Version 1.7.3 is live, bringing powerful new enhancements that put more control in the hands of developers and product teams.

Security with embedded analytics gets more complex when AI enters the picture. This article breaks down the key risks, offers best practices to prevent data leaks, and explains how Reveal gives SaaS teams full control over AI endpoints, data flow, and governance. If you’re embedding AI-powered analytics into your product, Reveal helps you do it securely by design.

Churn happens when users lose sight of value. Customer retention with embedded analytics means showing outcomes where they matter—inside your product. This guide breaks down how SaaS teams use real-time dashboards, role-based insights, and self-service tools to keep users engaged and reduce churn. See how platforms like Reveal make retention scalable, measurable, and built into the experience.

Tools Key Features Pros Cons Reveal Code gen for Angular, React, Web Components, Blazor, Figma-to-code, App Builder AI, GitHub integration, 65+ UI components, DesignOps & DevOps, No vendor lock-in Enterprise apps, digital transformation, composable strategies, prototyping, usability testing Full design-to-code cycle with real-time preview, extensive design system (Indigo.Design), ideal for experienced developers, citizen developers, C-level […]

For SaaS companies, user growth should accelerate success, not burden your analytics infrastructure. Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. The result? Your analytics can’t keep pace with product momentum, turning scalable analytics into a distant […]

To help you make an informed choice, we analyzed and compared the 12 best embedded analytics platforms side by side, focusing on the features that matter most for ISVs and SaaS companies.

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.

Self-service BI empowers users to explore and act on data without relying on technical teams or submitting support tickets. It gives business users the tools they need to generate insights, build reports, and make decisions in real time, on their own.

For SaaS products and internal platforms, embedding self-service BI directly into your application extends that value by delivering a seamless and native analytics experience that is fast, scalable, and fully customizable.

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.

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.

You asked and Reveal delivered! By popular demand Reveal 1.7.4 is officially live and now includes native support for Databricks. Why is this a game-changer?