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101 releases of 1321

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  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. HubSpot connector (GA)

    Ingests data from HubSpot Marketing Hub into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. Standalone pipelines on serverless general compute (Beta)

    Requires serverless general compute, created via SQL or Python.

    #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. GitHub managed ingestion connector (Beta)

    ingests GitHub data into Databricks, available in Lakeflow Connect.

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

    Ingests email data from Microsoft Outlook into Databricks.

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

    Ingests Smartsheet data into Databricks, available in Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  24. Community connectors (Beta)

    Extends Lakeflow Connect to unsupported sources, built by the community.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  25. Zendesk Support connector (GA)

    Allows syncing Zendesk tickets to Databricks.

    #Data Ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  26. Confluence connector (GA)

    Allows reading Confluence spaces and pages into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  27. New cascade field for deleting Unity Catalog pipelines (Beta)

    Deletes associated materialized views and tables by default, set cascade=false to retain them.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  28. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    #Documentation
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  29. Databricks SQL pipelines support notifications and performance mode (Beta)

    Supports failure notifications and serverless performance mode for materialized views and streaming tables.

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

    Ingests Workday Human Capital Management data into Databricks.

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

    Ingests data from TikTok Ads into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  32. HubSpot connector (Beta)

    Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  33. Google Ads connector (Beta)

    Ingests data from Google Ads into Databricks via Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  34. Zendesk Support connector (Beta)

    Ingests ticket, help center, and community forum data from Zendesk Support.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  35. Trigger on update for pipelines (GA)

    Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  36. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

    #Lakeflow#Notebooks#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  37. Google Drive connector (Beta)

    Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  38. Ingest Salesforce formula fields incrementally (Beta)

    Replaces snapshotting with incremental ingestion, improving performance and reducing costs.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  39. Row filtering for managed ingestion connectors (Beta)

    Applies conditions like a SQL WHERE clause, available for Google Analytics, Salesforce, and ServiceNow connectors.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  40. Meta Ads connector (Beta)

    Ingests data from Meta Ads, requires setup as a data source.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  41. Confluence connector (Beta)

    Ingests Confluence spaces and pages into Databricks, requires OAuth U2M configuration.

    #Data Ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  42. Change owner for materialized views or streaming tables defined in Databricks SQL

    Done through Catalog Explorer, replacing previous methods.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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.