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Databricks releases, every cloud

60 releases of 1321

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  1. Unit testing for pipelines (Beta)

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

  2. C++ SDK for the Zerobus Ingest connector is now available in Beta

    Supports JSON and Protocol Buffers for ingesting into Unity Catalog Delta tables.

  3. 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.

  4. Reddit Ads connector is now available in Beta

    Ingests advertising campaign data and performance metrics from Reddit Ads into Databricks.

  5. Anthropic managed ingestion connector (Beta)

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

  6. Connect and govern any external model provider

    Registers as a Unity Catalog securable, allowing queries through Unity Gateway with governance and observability.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Replaces CDC configuration, supports Oracle, Teradata, and others.

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

    Replaces legacy editor, removing it in August.

  10. Strac connector (Beta)

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

  11. Behavior changes for continuous jobs and pipelines Coming soon

    Configures continuous schedule from pipeline page, wrapping pipeline in a continuous job. Replaces pipeline's built-in continuous setting for new pipelines.

  12. REPLACE WHERE flows are now generally available

    Replaces full table reprocessing with row-level updates based on a predicate.

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

    Consumes fewer DBUs when Performance optimized setting is off.

  14. Lakeflow Connect row filtering is now generally available

    Works like a SQL WHERE clause, applies to initial and incremental updates.

  15. Veeva Vault connector (Beta)

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

  16. Run a subset of job tasks with their dependencies

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

  17. SQL alert task in Lakeflow Jobs is now generally available

    Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state for downstream tasks.

  18. Microsoft Dynamics 365 connector (GA)

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

  19. 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.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Standalone pipeline materialized views support expectations

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

  22. Square managed ingestion connector (Beta)

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

  23. Wiz Audit Logs managed ingestion connector (Beta)

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

  24. Netskope Logs managed ingestion connector (Beta)

    Ingests Netskope event and alert logs into Databricks.

  25. Incremental ingestion for Workday Reports (Beta)

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

  26. Salesforce Marketing Cloud managed ingestion connector (Beta)

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

  27. Zip connector (Beta)

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

  28. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  29. 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.

  30. Aha! connector (Beta)

    Ingests data from Aha!, using Lakeflow Connect.

  31. Monday.com managed ingestion connector (Beta)

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

  32. Zoho Books managed ingestion connector (Beta)

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

  33. 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.

  34. 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.

  35. 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.

  36. Managed RabbitMQ connector (Beta)

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

  37. Pendo connector (Beta)

    Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.

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

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

  39. Google Drive managed ingestion connector (Beta)

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

  40. 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.

  41. 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.

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

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

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.