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Databricks releases, every cloud

16 releases of 1321

Last updated

  1. Write data back to Azure Databricks from Google Sheets

    Writes to Unity Catalog tables, creating or overwriting them.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. Write data back to Databricks from Google Sheets

    Creates or overwrites Unity Catalog tables from Google Sheets.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  3. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  4. Filter updates for the Azure Databricks Excel Add-in

    Supports cascading filters and case-insensitive string matching, replacing LIKE and IN filters.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  5. Filter updates for the Databricks Excel Add-in

    Supports cascading filters and case-insensitive string matching, replaces LIKE and IN filters.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  6. Scala and Java UDFs in Unity Catalog are now generally available

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Object metadata column is now in Public Preview

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

  9. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  10. 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.

  11. 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.

  12. 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.

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

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

  14. Lakehouse Replay (Beta)

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

  15. 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.

  16. SQL alert task for jobs (Beta)

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

  17. JDBC Unity Catalog connection in Beta

    Requires Databricks Runtime 17.3 or above. Available on standard, dedicated, or serverless compute.

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.