Skip to content

Databricks releases, every cloud

17 releases of 1321

Last updated

  1. Data Classification now scans Unity Catalog views (Beta)

    Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.

  2. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  3. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

  4. Data Classification is now available by default for additional compliance standards

    Requires compliance security profile with C5, TISAX, or IRAP controls.

  5. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

  6. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

  9. Data Classification is now available by default for some workspaces with the compliance security profile enabled

    Requires compliance security profile and specific controls like HIPAA or HITRUST.

  10. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  11. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

  12. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

  13. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  14. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

  15. Databricks Data Classification is now GA

    Automatically classifies and tags sensitive data in Unity Catalog using AI.

  16. SQL alert task for jobs (Beta)

    Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.

  17. Data Classification (Public Preview)

    Supports all catalog types, consolidates results into a system table.

  18. Data classification system table Beta

    Captures sensitive data detections at column level across enabled catalogs.

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.