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Databricks releases, every cloud

155 releases of 1321

Last updated

  1. Spark Declarative Pipelines on Lakeflow sinks are now generally available

    Supports writing to Delta tables, Kafka topics, and Azure Event Hubs.

  2. Spark Declarative Pipelines on Lakeflow environment versions (Beta)

    Pins Python version and libraries, decoupling from Databricks Runtime upgrades.

  3. 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.

  4. HubSpot connector (GA)

    Ingests data from HubSpot Marketing Hub into Databricks.

  5. Standalone pipelines on serverless general compute (Beta)

    Requires serverless general compute, created via SQL or Python.

  6. GitHub managed ingestion connector (Beta)

    ingests GitHub data into Databricks, available in Lakeflow Connect.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Outlook managed ingestion connector (Beta)

    Ingests email data from Microsoft Outlook into Databricks.

  9. Smartsheet managed ingestion connector (Beta)

    Ingests Smartsheet data into Databricks, available in Lakeflow Connect.

  10. Lakeflow Pipelines Editor is now generally available

    Offers agent-first experience with Genie Code for creating production pipelines.

  11. Community connectors (Beta)

    Extends Lakeflow Connect to unsupported sources, built by the community.

  12. Disabling tasks in Lakeflow Jobs is now GA

    Disabled tasks retain config and run history, can be re-enabled later.

  13. Zendesk Support connector (GA)

    Allows syncing Zendesk tickets to Databricks.

  14. Confluence connector (GA)

    Allows reading Confluence spaces and pages into Databricks.

  15. Lakeflow Designer is now in Public Preview

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

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

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

  17. New cascade field for deleting Unity Catalog pipelines (Beta)

    Deletes associated materialized views and tables by default, set cascade=false to retain them.

  18. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

  19. Databricks SQL pipelines support notifications and performance mode (Beta)

    Supports failure notifications and serverless performance mode for materialized views and streaming tables.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Workday HCM connector (Beta)

    Ingests Workday Human Capital Management data into Databricks.

  22. COMMENT ON streaming tables is now GA

    Adds comments to streaming tables, previously only available for non-streaming tables.

  23. JAR tasks on serverless compute is now in Public Preview

    Allows running JAR jobs without a cluster.

  24. TikTok Ads connector (Beta)

    Ingests data from TikTok Ads into Databricks.

  25. File events enabled by default on new external locations

    Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.

  26. HubSpot connector (Beta)

    Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.

  27. 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.

  28. Applying filters, masks, tags, and comments to pipeline-created datasets is now GA

    Modifies ETL and ingestion pipelines using CREATE, ALTER, or Lakeflow UI. Applies to Spark Declarative Pipelines on Lakeflow and Lakeflow Connect.

  29. Google Ads connector (Beta)

    Ingests data from Google Ads into Databricks via Lakeflow Connect.

  30. Zendesk Support connector (Beta)

    Ingests ticket, help center, and community forum data from Zendesk Support.

  31. Trigger on update for pipelines (GA)

    Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.

  32. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  33. Google Drive connector (Beta)

    Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.

  34. Ingest Salesforce formula fields incrementally (Beta)

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

  35. Row filtering for managed ingestion connectors (Beta)

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

  36. Meta Ads connector (Beta)

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

  37. MySQL connector in Lakeflow Connect (Public Preview)

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

  38. Updated Lakeflow Jobs UI is generally available

    Simplifies job creation and editing, see Lakeflow Jobs for details.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  39. Confluence connector (Beta)

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

  40. PostgreSQL connector in Lakeflow Connect (Public Preview)

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

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

    Done through Catalog Explorer, replacing previous methods.

  42. Customizable SharePoint connector (Beta)

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

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.