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Databricks releases, every cloud

244 releases of 1331

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  1. Standalone pipeline materialized views support expectations

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

  2. Square managed ingestion connector (Beta)

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

  3. Wiz Audit Logs managed ingestion connector (Beta)

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

  4. Netskope Logs managed ingestion connector (Beta)

    Ingests Netskope event and alert logs into Databricks.

  5. Incremental ingestion for Workday Reports (Beta)

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

  6. Salesforce Marketing Cloud managed ingestion connector (Beta)

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  9. Lakehouse Replay (Beta)

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

  10. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

  11. Zip connector (Beta)

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

  12. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  13. The update_flow API for Spark Declarative Pipelines on Lakeflow is generally available

    Writes to a sink in update output mode, emitting only changed rows. Supports stateful aggregations without a watermark.

  14. Aha! connector (Beta)

    Ingests data from Aha!, using Lakeflow Connect.

  15. Monday.com managed ingestion connector (Beta)

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

  16. Zoho Books managed ingestion connector (Beta)

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

  17. External data access for pipeline streaming tables and materialized views (Public Preview)

    Enables external Delta and Iceberg clients to read data without copying. Uses Unity Catalog and Iceberg catalog REST APIs.

  18. 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.

  19. UNIQUE constraint support is now in Public Preview

    Enables join elimination and DISTINCT simplification on Photon-enabled compute. Applies to Unity Catalog Delta Lake tables.

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  21. 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.

  22. Managed RabbitMQ connector (Beta)

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

  23. Pendo connector (Beta)

    Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.

  24. Query-based connectors for Lakeflow Connect are now generally available

    Ingests data from databases like Oracle and PostgreSQL without CDC configuration.

  25. Google Drive managed ingestion connector (Beta)

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

  26. Real-time mode in Spark Declarative Pipelines on Lakeflow, and the update_flow API are now available (Public Preview)

    Achieves end-to-end latency as low as 5ms, uses update output mode.

  27. Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available

    Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.

  28. Databricks SQL version 2026.15 is now available in Preview

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

  29. Spark Declarative Pipelines on Lakeflow parameters are now in Beta

    Define key-value pairs at pipeline level, referenced in SQL using named parameter syntax.

  30. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

  31. Fixed LOD expression syntax update for metric views

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

  32. Databricks Container Services for standard compute is now available (Beta)

    Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.

  33. Unified runs list is generally available

    Replaces separate job and pipeline run lists, adds filtering and error code visualization.

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

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

  35. Databricks SQL alerts are now generally available

    Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.

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

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

  37. 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.

  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.

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