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Reveal business intelligence blog gives you the latest embedded analytics trends, how-tos, best practices, and product news.

Introducing Reveal AI: The AI-Native Embedded Analytics Layer for Enterprise and SaaS Applications

Introducing Reveal AI: The AI-Native Embedded Analytics Layer for Enterprise and SaaS Applications

Users expect analytics to behave like the rest of modern software: interactive, immediate, and conversational. Reveal AI addresses this shift by adding conversational analytics and AI-generated insights directly inside enterprise and SaaS applications. Built on Reveal’s SDK-first embedded analytics architecture, it allows users to ask questions in natural language, receive contextual explanations, and detect anomalies. At the same time, organizations keep full control over governance, deployment, and AI cost management.

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Reveal 1.8.1 Release: Conditional Formatting and Redis Cache Provider Now Available

Reveal 1.8.1 Release: Conditional Formatting and Redis Cache Provider Now Available

Reveal 1.8.1 introduces two major upgrades: Conditional Formatting and the Redis Cache Provider. These updates make embedded analytics faster, clearer, and easier to scale. Conditional Formatting lets users apply rule-based color logic directly to charts, turning data into instant visual insight. The Redis Cache Provider delivers enterprise-level performance with distributed in-memory caching for real-time workloads. Together, these enhancements help developers and SaaS leaders build smarter, high-performing dashboards while keeping Reveal the standard for customizable and scalable embedded BI that delivers insight without complexity.

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Reveal 1.7.4 Now Connects to Databricks—Here’s Why It Matters

Reveal 1.7.4 Now Connects to Databricks—Here’s Why It Matters

Starting today, Reveal users can connect directly to their Databricks environment and build real-time dashboards using our fully embedded analytics experience. Native Databricks Integration Databricks users can now embed real-time insights directly into their applications without extra steps or added complexity. As a cloud-based data platform built on Apache Spark and ML tools, Databricks powers […]

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