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Databricks releases, every cloud

52 releases of 1321

Last updated

  1. Unit testing for pipelines (Beta)

    Validates Python and SQL transformations against mock data. Requires Lakeflow Pipelines Editor.

  2. Override the REPLACE WHERE predicate for a single refresh

    Adds a WHERE clause to the REFRESH STREAMING TABLE command. Applies to standalone streaming tables with FLOW REPLACE WHERE clause.

  3. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  4. Anthropic managed ingestion connector (Beta)

    Ingests Compliance API data, including audit activity and Claude chats, into Databricks.

  5. Change to default pipeline editor for workspaces with the compliance security profile enabled Coming soon

    Replaces legacy editor, removing it in August.

  6. Strac connector (Beta)

    Ingests Strac data-security audit events using a Strac API key.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Standard performance mode is now supported for materialized view or streaming table refreshes in jobs

    Consumes fewer DBUs when Performance optimized setting is off.

  9. Veeva Vault connector (Beta)

    Ingests standard and custom objects from Veeva using OAuth 2.0 M2M auth.

  10. Lakehouse Real-Time (Beta)

    Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.

  11. Run a subset of job tasks with their dependencies

    Add + modifier to task key to include dependencies, usable via UI, API, or CLI.

  12. Databricks SQL version 2026.20 is now available in Preview

    Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.

  13. Microsoft Dynamics 365 connector (GA)

    Ingests CRM and ERP data into Databricks using Azure Synapse Link.

  14. Solution Accelerators in Databricks Marketplace are now published as apps or notebooks

    They are now categorized as apps or notebooks, with unchanged content.

  15. Change the owner of standalone pipeline streaming tables and materialized views

    Uses ALTER STREAMING TABLE and ALTER MATERIALIZED VIEW with SET OWNER TO. Applies to standalone pipeline datasets in Databricks SQL.

  16. Standalone pipeline materialized views support expectations

    Validates records in materialized views using CONSTRAINT clause. Replaces manual validation in standalone pipelines.

  17. Square managed ingestion connector (Beta)

    Ingests point-of-sale data like payments and orders from Square into Databricks.

  18. Wiz Audit Logs managed ingestion connector (Beta)

    Ingests Wiz audit log entries, issues, and vulnerability findings into Databricks.

  19. Netskope Logs managed ingestion connector (Beta)

    Ingests Netskope event and alert logs into Databricks.

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

    Ingests only changed rows since last pipeline run if a cursor column is configured.

  22. Salesforce Marketing Cloud managed ingestion connector (Beta)

    Ingests campaigns, journeys, and email events from Salesforce Marketing Cloud into Databricks.

  23. Install third-party apps from Databricks Marketplace

    Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.

  24. Use Universal Commits to purchase Marketplace partner products

    Up to 10% of Universal Commits can be used for third-party products.

  25. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  26. Zip connector (Beta)

    Ingests data from Zip, a new option in Lakeflow Connect.

  27. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  28. Aha! connector (Beta)

    Ingests data from Aha!, using Lakeflow Connect.

  29. Monday.com managed ingestion connector (Beta)

    Ingests boards, users, teams, and activity logs from Monday.com into Databricks.

  30. Zoho Books managed ingestion connector (Beta)

    Ingests invoices, bills, contacts, and bank transactions from Zoho Books into Databricks.

  31. Managed SharePoint connector adds structured file ingestion and file metadata support (Beta)

    Supports CSV, JSON, XML, Excel, Parquet, Avro, ORC ingestion, replacing unstructured-only approach.

  32. Table update triggers on Delta Sharing and system tables (Beta)

    Monitors data shared through Delta Sharing and system tables, triggering jobs on updates, supporting Databricks-to-Databricks sharing only.

  33. Managed RabbitMQ connector (Beta)

    Streams messages from RabbitMQ classic queues into Unity Catalog streaming tables.

  34. Pendo connector (Beta)

    Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.

  35. Google Drive managed ingestion connector (Beta)

    Ingests files from Google Drive into Databricks, supporting unstructured and structured data.

  36. Databricks SQL version 2026.15 is now available in Preview

    XPath no longer fetches external DTDs, fixing failures from malformed URLs.

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

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

  38. HubSpot connector (GA)

    Ingests data from HubSpot Marketing Hub into Databricks.

  39. Standalone pipelines on serverless general compute (Beta)

    Requires serverless general compute, created via SQL or Python.

  40. GitHub managed ingestion connector (Beta)

    ingests GitHub data into Databricks, available in Lakeflow Connect.

  41. Outlook managed ingestion connector (Beta)

    Ingests email data from Microsoft Outlook into Databricks.

  42. Smartsheet managed ingestion connector (Beta)

    Ingests Smartsheet data into Databricks, available in Lakeflow Connect.

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.