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Databricks releases, every cloud

44 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. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  4. ABAC GRANT policies are generally available for models and services

    Replaces individual privilege grants with governed tag matching.

  5. Zerobus Ingest into streaming tables is now generally available

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

  6. Salesforce connector mTLS authentication is now generally available

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Role-based access control (RBAC) is generally available

    Requires account and workspace admin setup. Enables exclusive access to sensitive data.

  9. JAR tasks on serverless compute are now generally available

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

  10. Schema-level HTTP connections in Unity Catalog are now generally available

    Creates connections inside a schema, inheriting its privileges, instead of only at metastore level.

  11. Python UDTFs in Unity Catalog are now generally available

    Runs on serverless compute, classic compute, and SQL warehouses. Requires Databricks Runtime 18.

  12. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  13. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

  14. REPLACE WHERE flows are now generally available

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

  15. Lakeflow Connect row filtering is now generally available

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

  16. 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.

  17. OneLake catalog federation is generally available

    Allows reading OneLake data without copying, with read-only access and direct queries against file storage.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  18. 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.

  19. External lineage is now generally available

    Registers external assets like Salesforce or MySQL sources and Tableau dashboards. Automatically records source lineage for Lakeflow Connect pipelines.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Query-based connectors for Lakeflow Connect are now generally available

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

  22. 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.

  23. Unity Catalog managed Apache Iceberg tables, foreign Apache Iceberg tables, and Apache Iceberg v3 features are generally available

    Supports liquid clustering, predictive optimization, and materialized views. Requires Databricks Runtime or external Iceberg-compatible engines.

  24. Unified runs list is generally available

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

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

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

  26. Catalog commits are now generally available

    Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.

  27. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

  28. Lakeflow Pipelines Editor is now generally available

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

  29. Disabling tasks in Lakeflow Jobs is now GA

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

  30. Attribute-based access control (ABAC) is now generally available

    Uses governed tags to enforce row filter and column mask policies. Replaces per-table configuration with automatic application at catalog, schema, or table level.

  31. Databricks Data Classification is now GA

    Automatically classifies and tags sensitive data in Unity Catalog using AI.

  32. Altering a catalog or schema's managed storage location is now GA

    Modifies default cloud storage location for new managed tables and volumes.

  33. Governed tags are generally available

    Allow administrators to define controlled tags for Unity Catalog and workspace objects, enforcing consistent metadata tagging.

  34. Customer-managed keys for Unity Catalog are generally available

    Encrypts data in Unity Catalog catalogs using cloud KMS keys. Requires default storage.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  35. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

  36. COMMENT ON streaming tables is now GA

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

  37. 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.

  38. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

  39. 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)
  40. Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available

    Supports querying event log for stream progress metrics.

  41. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

  42. 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.

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.