Databricks releases, every cloud
- Automatic change data feed will soon be available in all supported regions Coming soon
Requires Databricks Runtime 19 or above with row tracking enabled. Replaces manual change data feed setup on tables.
- Partner-powered AI features can no longer be disabled in the settings UI
Settings API still allows enable or disable until November 1, 2026.
- The partner-powered AI features setting will be removed Coming soon
Settings will remain as is, but changes will require contacting the account team after removal.
- Tags page in Governance Hub (Beta)
Provides a centralized view of tag usage, summarizes governed tags, and offers recommendations for invalid values. Requires account admins to enable from Previews page.
- Email notifications for expiring service principal tokens are now generally available
Sends emails to workspace admins 7 days before token expiration for used tokens with lifetime over 7 days. No configuration is required.
- Governance Hub is in Beta
Enables monitoring of data health and AI usage, requires account admin enablement from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Transactions are now generally available
Require catalog commits enabled on participating tables. Use BEGIN ATOMIC or BEGIN TRANSACTION syntax.
- Variant and Variant shredding are now generally available
Requires Databricks Runtime 17.3, recommended 18.1 for optimal performance.
- Variant will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Ingests semi-structured data from sources like Kinesis and REST APIs. Available in July 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Automatic upgrades will roll out more features to existing tables Coming soon
Adds row tracking and Checkpoint V2 to existing tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Legacy compute_preview system schema deprecated
Replaced by system.compute schema.
- Email notifications for expiring service principal tokens (Beta)
Sends emails to workspace admins when tokens expire in 7 days, requiring no configuration.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed disaster recovery is now in Public Preview
Replicates metadata, table data, and workspace assets to a secondary region. Requires account team enablement.
- Mission Critical add-on is now in Public Preview
Unlocks managed disaster recovery and ESC for a single compute rate, enabled per workspace.
- Configure an additional recipient for workspace operational emails
Receives operational updates like breaking changes and incident communications, use a distribution-list alias for multiple people.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Catalog commits are now generally available
Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.
- Updated AWS tag character restrictions
Tag keys and values now cannot contain spaces or /. Tag keys also cannot be just . , .. , or _index.
- Multi-table transactions are now in Public Preview
Requires catalog commits on participating tables, supports Unity Catalog managed Delta tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Zstd is now the default compression for new managed tables
Replaces Snappy compression, applies to Databricks Runtime 16.0 and above.
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.