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Databricks releases, every cloud

194 releases of 1321

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  1. 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.

  2. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  3. Anthropic managed ingestion connector (Beta)

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

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

    Replaces legacy editor, removing it in August.

  5. Strac connector (Beta)

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

  6. Standard performance mode is now supported for materialized view or streaming table refreshes in jobs

    Consumes fewer DBUs when Performance optimized setting is off.

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

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

  9. Lakehouse Real-Time (Beta)

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

  10. Run a subset of job tasks with their dependencies

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

  11. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  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. Databricks Runtime 19 (Beta): June 26, 2026

    Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

  14. Microsoft Dynamics 365 connector (GA)

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

  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. Databricks Runtime 19 (Beta): June 15, 2026

    Replaces JDK 17 with JDK 21, removes 90 Python packages.

  24. Databricks Runtime 18: June 10, 2026

    Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

  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. Databricks Runtime 18: June 8, 2026

    Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

  30. Monday.com managed ingestion connector (Beta)

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

  31. Zoho Books managed ingestion connector (Beta)

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

  32. 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.

  33. Databricks Runtime 18: June 4, 2026

    NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.

  34. 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.

  35. Managed RabbitMQ connector (Beta)

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

  36. Pendo connector (Beta)

    Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.

  37. Databricks Runtime 18: May 29, 2026

    Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

  38. Google Drive managed ingestion connector (Beta)

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

  39. Databricks Runtime maintenance updates (05/26)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  40. Databricks SQL version 2026.15 is now available in Preview

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

  41. Fixed LOD expression syntax update for metric views

    Uses SQL window functions, replacing two-step pre-computation approach.

  42. Databricks Runtime 18: May 18, 2026

    Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

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