Databricks releases, every cloud

1. 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) May 7, 2026
2. 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) May 5, 2026
3. 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) May 5, 2026
4. 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) May 5, 2026
5. Lakeflow Pipelines Editor is now generally available

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

   #Lakeflow
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) May 4, 2026

Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.