Skip to content

Databricks releases, every cloud

7 releases of 1321

Last updated

  1. Databricks Apps telemetry is now generally available

    Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.

  2. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  3. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  4. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  5. Git-backed app deployments are now generally available

    Deploys apps from Git repositories, allowing Git-only deployments across a workspace.

  6. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Compute sizing for Databricks Apps is now generally available

    Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.