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Databricks releases, every cloud

34 releases of 1321

Last updated

  1. Metastore-level ABAC policies are in Beta

    Applies across every catalog in the metastore. Replaces per-catalog policy setup.

  2. Session restore for serverless jobs is in Public Preview

    Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.

  3. ABAC DENY policies are in Beta

    Explicitly deny MANAGE ACCESS CONTROL privilege, taking precedence over grants.

  4. Zerobus Ingest into default storage is now in Public Preview

    Supports tables backed by default storage, requires Lakeflow Connect setup.

  5. Pipeline events system table is in Beta

    Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.

  6. The INSERT, UPDATE, and DELETE privileges are in Beta

    Require Databricks Runtime 18.1 or above, alternative to MODIFY privilege.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Serverless outbound Private Service Connect to customer-managed resources (Public Preview)

    Keeps traffic off the public internet, adding network-layer defense against data exfiltration through customer-managed Google Cloud service attachment.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  9. C++ SDK for the Zerobus Ingest connector is now available in Beta

    Supports JSON and Protocol Buffers for ingesting into Unity Catalog Delta tables.

  10. Role-based access control (RBAC) is in Public Preview

    Lets users assume a role with limited permissions. Requires account and workspace admin setup.

  11. Reddit Ads connector is now available in Beta

    Ingests advertising campaign data and performance metrics from Reddit Ads into Databricks.

  12. Custom URLs for your Databricks account (Public Preview)

    Replaces default URL, requires claim and enable process.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  13. Block specific internet destinations in network policies (Public Preview)

    Blocks destinations regardless of network access mode, enforced through REST API.

  14. External data access for pipeline streaming tables and materialized views (Public Preview)

    Enables external Delta and Iceberg clients to read data without copying. Uses Unity Catalog and Iceberg catalog REST APIs.

  15. Real-time mode in Spark Declarative Pipelines on Lakeflow, and the update_flow API are now available (Public Preview)

    Achieves end-to-end latency as low as 5ms, uses update output mode.

  16. Spark Declarative Pipelines on Lakeflow parameters are now in Beta

    Define key-value pairs at pipeline level, referenced in SQL using named parameter syntax.

  17. SQL alert task in Lakeflow Jobs is now in Public Preview

    Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state as output.

  18. Lakeflow Designer is now in Public Preview

    Offers drag-and-drop canvas and natural language for building data workflows.

  19. Query-based connectors for Lakeflow Connect (Public Preview)

    Ingests data from databases using a cursor column, supporting Oracle, Teradata, and others.

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  21. HITRUST compliance controls (Public Preview)

    Manages risk and demonstrates security and privacy compliance. Requires enabling in settings.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  22. JAR tasks on serverless compute is now in Public Preview

    Allows running JAR jobs without a cluster.

  23. Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)

    Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.

  24. MySQL connector in Lakeflow Connect (Public Preview)

    Enables incremental data ingestion from various MySQL databases. Requires access request through account team.

  25. Context based ingress control is now in Public Preview

    Enables account admins to set allow and deny rules based on identity, request type, and network source.

  26. PostgreSQL connector in Lakeflow Connect (Public Preview)

    Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.

  27. Microsoft Dynamics 365 connector (Public Preview)

    Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.

  28. ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)

    Allows processing streams as micro-batches in Python. Requires Lakeflow setup.

  29. Automatic email notifications for expiring personal access tokens (Public Preview)

    Sends emails 7 days before token expiration.

  30. SFTP connector (Public Preview)

    Extends Auto Loader to ingest files from SFTP servers.

  31. Unified runs list (Public Preview)

    Combines job and pipeline runs into one list.

  32. Lakeflow Pipelines Editor is now in public preview

    Replaces multi-file editor, edits pipelines as files in asset browser, defaults to Python and SQL code.

  33. Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)

    Requires file events enabled on external locations.

  34. Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview

    Supports querying event log for stream progress metrics.

  35. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview

    Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.

  36. Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview)

    Creates ETL pipelines in workspace bundles using Lakeflow template. Requires New ETL pipeline setup.

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.