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Databricks releases, every cloud

200 releases of 1340

Last updated

  1. TikTok Ads connector (Beta)

    Ingests data from TikTok Ads into Databricks.

  2. HubSpot connector (Beta)

    Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.

  3. Databricks SQL version 2025.40 is now available in Preview

    Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.

  4. Google Ads connector (Beta)

    Ingests data from Google Ads into Databricks via Lakeflow Connect.

  5. Lakebase now available on Azure (Beta)

    Lakebase on Azure offers autoscaling compute and scale-to-zero. Supported regions include eastus2, westeurope, and westus.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  6. Zendesk Support connector (Beta)

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Trigger on update for pipelines (GA)

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

  9. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  10. Google Drive connector (Beta)

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

  11. Manage Lakebase from the Lakebase App

    Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  12. Ingest Salesforce formula fields incrementally (Beta)

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

  13. Row filtering for managed ingestion connectors (Beta)

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

  14. Connect to Lakebase from the SQL editor with read-write access

    Supports full read-write access, see documentation for setup.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  15. Lakebase metrics dashboard

    Monitors system and database health with metrics like RAM and CPU usage.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  16. Meta Ads connector (Beta)

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

  17. Lakebase ACL support

    Grants CAN CREATE or CAN MANAGE permissions from project settings.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  18. Confluence connector (Beta)

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

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

    Done through Catalog Explorer, replacing previous methods.

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

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

  22. Discover files in Auto Loader efficiently using file events

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

  23. Jira connector (Beta)

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

  24. 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.

  25. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  26. Jobs can now be triggered on source view update

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

  27. Improved full refresh flow for managed database connectors

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

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

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

  29. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  30. JAR tasks are now supported on serverless compute

    Run JAR jobs without a cluster.

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

    Enables history tracking, overwriting default SCD type 1 behavior.

  32. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  33. Lakebase (Beta) now available

    Adds autoscaling and database branching on AWS, separate from Public Preview.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  34. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  35. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

  36. Create backfill job runs

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

  37. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  38. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  39. New requirement to create connections for Salesforce ingestion

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

  40. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  41. Google Analytics Raw Data connector GA

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

  42. Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow

    Supports Python custom data sources and sinks in pipeline definitions.

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