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Databricks releases, every cloud

106 releases of 1331

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  1. Ingest Salesforce formula fields incrementally (Beta)

    Replaces snapshotting with incremental ingestion, improving performance and reducing costs.

  2. Row filtering for managed ingestion connectors (Beta)

    Applies conditions like a SQL WHERE clause, available for Google Analytics, Salesforce, and ServiceNow connectors.

  3. Meta Ads connector (Beta)

    Ingests data from Meta Ads, requires setup as a data source.

  4. Confluence connector (Beta)

    Ingests Confluence spaces and pages into Databricks, requires OAuth U2M configuration.

  5. Change owner for materialized views or streaming tables defined in Databricks SQL

    Done through Catalog Explorer, replacing previous methods.

  6. Customizable SharePoint connector (Beta)

    Ingests structured, semi-structured, and unstructured files into Delta tables with customizable schema inference and parsing options.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Discover files in Auto Loader efficiently using file events

    Requires file events enabled on external locations. Replaces directory listing for efficiency.

  9. Jira connector (Beta)

    Ingests Jira issues, comments, and attachments metadata into Databricks.

  10. Configure full refresh behavior for managed database connectors

    Applies to Lakeflow Connect managed database connectors, allowing scheduled full refresh snapshots and automatic recovery from unsupported schema changes.

  11. Jobs can now be triggered on source view update

    Supports views referencing supported table types, see documentation for specifics.

  12. Improved full refresh flow for managed database connectors

    Reduces downtime by delaying table refresh until snapshot completion, minimizing PENDING_RESET errors.

  13. Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines

    Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.

  14. JAR tasks are now supported on serverless compute

    Run JAR jobs without a cluster.

  15. Salesforce ingestion connector supports history tracking (SCD type 2)

    Enables history tracking, overwriting default SCD type 1 behavior.

  16. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

  17. Create backfill job runs

    Triggers job runs to load past data, useful for repairing processing failures.

  18. New requirement to create connections for Salesforce ingestion

    Requires Databricks connected app installed. Applies to new connections only.

  19. Google Analytics Raw Data connector GA

    Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow

    Supports Python custom data sources and sinks in pipeline definitions.

  22. SQL Server connector supports SCD type 2

    Maintains a history of changes, rather than overwriting outdated records.

  23. Microsoft SQL Server connector GA

    Replaces manual ingestion scripts, requires Lakeflow Connect setup.

  24. Set the run-as user for Spark Declarative Pipelines on Lakeflow

    Replaces user accounts with a service principal for automated workloads.

  25. Jobs in continuous mode can now have task-level retries for failed tasks

    Task-level retries replace job-level retries, require continuous mode.

  26. ServiceNow connector GA

    Replaces manual API configuration, requires Lakeflow Connect setup.

  27. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  28. Parent tasks (Run job and For each) now have a separate limit

    Separate limit doesn't count against overall limit, see Resource limits.

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