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Databricks releases, every cloud

33 releases of 1321

Last updated

  1. Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available Coming soon

    Replaces full snapshot default, improving performance and reducing cost.

  2. Apache Arrow support for Zerobus Ingest is now generally available

    Replaces JSON and Avro formats, requires Lakeflow Connect.

  3. Zerobus Ingest into streaming tables is now generally available

    Works like writing to a managed Delta table with same limits and quotas.

  4. Salesforce connector mTLS authentication is now generally available

    Replaces OAuth client credentials flow for API-only users, requires client certificates.

  5. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  6. Context-based ingress control for workspaces public access is now generally available

    Uses allow and deny rules to control access based on identities, network sources, and request types.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. REPLACE WHERE flows are now generally available

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

  9. Lakeflow Connect row filtering is now generally available

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

  10. 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.

  11. 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.

  12. 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.

  13. Inbound Private Link for performance-intensive services is now generally available

    Supports Lakebase Autoscaling and Zerobus Ingest.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP, read it on their docs
  14. Query-based connectors for Lakeflow Connect are now generally available

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

  15. 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.

  16. Unified runs list is generally available

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

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

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

  18. Databricks SQL alerts are now generally available

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

  19. Lakeflow Pipelines Editor is now generally available

    Offers agent-first experience with Genie Code for creating production pipelines.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Disabling tasks in Lakeflow Jobs is now GA

    Disabled tasks retain config and run history, can be re-enabled later.

  22. Update workspace network configuration to VNet injection is now GA

    Migrates from Databricks-managed VNet to customer-owned VNet.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  23. Azure virtual network service endpoint policies are now generally available

    Apply to classic compute for outbound storage access filtering. Requires configuration.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  24. COMMENT ON streaming tables is now GA

    Adds comments to streaming tables, previously only available for non-streaming tables.

  25. Serverless egress control is now generally available

    Manages outbound connections with restricted access and FQDN filtering.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  26. Applying filters, masks, tags, and comments to pipeline-created datasets is now GA

    Modifies ETL and ingestion pipelines using CREATE, ALTER, or Lakeflow UI. Applies to Spark Declarative Pipelines on Lakeflow and Lakeflow Connect.

  27. Updated Lakeflow Jobs UI is generally available

    Simplifies job creation and editing, see Lakeflow Jobs for details.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available

    Supports querying event log for stream progress metrics.

  29. GCP Private Service Connect generally available

    No account team request needed to enable.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  30. Migrate Spark Declarative Pipelines on Lakeflow pipelines from legacy publishing mode is generally available

    Replaces legacy mode that only published to a single catalog and schema. Now supports multiple catalogs and schemas.

  31. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is now GA

    Replaces legacy single-catalog publishing with multi-catalog support.

  32. New SQL editor is generally available

    Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.

  33. Azure Private Link from serverless compute to resources in your virtual network (VNet) via a standard load balancer (SLB) is now generally available

    Enables private connectivity via standard load balancer. Requires configuration.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  34. PrivateLink connections from serverless compute to resources in your VPC through an NLB is generally available

    Uses an NLB, requires AWS PrivateLink configuration.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  35. Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA

    Supports moving tables in Unity Catalog ETL pipelines.

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.