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271 releases of 1321

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  1. Microsoft Dynamics 365 connector (GA)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  2. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Standalone pipeline materialized views support expectations

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Square managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Wiz Audit Logs managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Netskope Logs managed ingestion connector (Beta)

    Ingests Netskope event and alert logs into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Incremental ingestion for Workday Reports (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Lakebase now supports Postgres 18

    Postgres 17 remains the default, select Postgres 18 when creating a project.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  10. Salesforce Marketing Cloud managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Lakebase Search adds vector, keyword, and hybrid search to Postgres (Beta)

    Adds vector and keyword search to Postgres with lakebase_vector and lakebase_text extensions, replacing separate search stacks.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  12. 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.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. Lakehouse Replay (Beta)

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

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Zip connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  15. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

    #Documentation#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  17. Aha! connector (Beta)

    Ingests data from Aha!, using Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  18. Monday.com managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. Zoho Books managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  22. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  23. 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.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  24. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  25. Managed RabbitMQ connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  26. Pendo connector (Beta)

    Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  27. Lakebase snapshot storage is now billed

    Billed starting June 1, 2026, with size shown on Backup & Restore page.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  28. Query-based connectors for Lakeflow Connect are now generally available

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  29. Google Drive managed ingestion connector (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  30. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  31. 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.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  32. Databricks SQL version 2026.15 is now available in Preview

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

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  33. Spark Declarative Pipelines on Lakeflow parameters are now in Beta

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  34. Postgres password authentication is now disabled by default for new Lakebase projects

    Existing projects are unaffected, enable in project settings to allow.

    #Lakebase#Security
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  35. Customer-managed keys for Lakebase available in all AWS and Azure regions

    Encrypts project data at rest using a custom cloud KMS key. Available for new projects.

    #Lakebase#Security
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  36. Fixed LOD expression syntax update for metric views

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

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  37. Lakebase now supports compute sizes up to 64 CU (128 GB)

    Replaces 32 CU (64 GB RAM) limit, enables dynamic scaling for larger workloads.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  38. Unified runs list is generally available

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  39. Recover a deleted Lakebase project within 7 days

    Restores all branches, databases, and settings. Requires action within 7 days.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  40. Spark Declarative Pipelines on Lakeflow sinks are now generally available

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  41. Databricks SQL alerts are now generally available

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

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  42. Spark Declarative Pipelines on Lakeflow environment versions (Beta)

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)

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