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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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 large-scale analytics. This new connector makes it easy to turn that data into live, in-app dashboards—fully integrated and ready for users.

Teams can now:

  • Databricks data in just a few lines of code
  • Build and share dashboards with custom visualizations
  • Embed analytics directly into your app with Reveal’s SDK
  • Use Reveal AI to ask natural-language questions of your Databricks data

With Reveal, those insights are no longer siloed—they’re delivered natively inside the applications teams are building.

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

Additional Technical Enhancements

Also included in the 1.7.4 update:

Java HTTP Client: Enhanced error handling + log improvements

DSI.DataSource: Simplified setup—no manual config needed

S3 SessionToken Support: Improved AWS Athena compatibility

Bug Fixes + Performance: Ongoing speed + reliability improvements

For a complete list of enhancements, new capabilities, and bug fixes, be sure to check out the full Release Notes.  

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