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Databricks releases, every cloud

8 releases of 1321

Last updated

  1. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

  2. Lakebase Postgres is now in Beta

    Available in us-east4, us-central1, and europe-west3 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  3. Lakebase Change Data Feed (CDF) is now in Public Preview

    Captures row-level changes from Postgres tables as Delta tables, requiring no external CDC stack.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  4. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

  5. Lakebase now in Public Preview

    Introduces autoscaling compute and database branching on AWS. Free until January 2026.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  6. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Budget policy support for Lakebase database instances and synced tables (Public Preview)

    Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  9. Lakebase Public Preview enabled by default

    No admin enablement required, can be disabled by admins.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)

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.