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28 releases of 1321

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  1. 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.

    #Lakeflow#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Zerobus Ingest into default storage is now in Public Preview

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Pipeline events system table is in Beta

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)

    Replaces server hostname with workspace URL for connection.

    #Genie#Integrations
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. C++ SDK for the Zerobus Ingest connector is now available in Beta

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Reddit Ads connector is now available in Beta

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Spark Declarative Pipelines on Lakeflow parameters are now in Beta

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. Lakeflow Designer is now in Public Preview

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Query-based connectors for Lakeflow Connect (Public Preview)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  15. Connect to Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    #Integrations
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  16. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

    #Integrations
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  17. JAR tasks on serverless compute is now in Public Preview

    Allows running JAR jobs without a cluster.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. 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.

    #Admin Guide#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. MySQL connector in Lakeflow Connect (Public Preview)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
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  21. PostgreSQL connector in Lakeflow Connect (Public Preview)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  22. Microsoft Dynamics 365 connector (Public Preview)

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

    #Data ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. SFTP connector (Public Preview)

    Extends Auto Loader to ingest files from SFTP servers.

    #Auto Loader#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  25. Unified runs list (Public Preview)

    Combines job and pipeline runs into one list.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  27. Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)

    Requires file events enabled on external locations.

    #Auto Loader#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  28. Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview

    Supports querying event log for stream progress metrics.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  29. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  30. 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.

    #Bundles#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(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.