Databricks releases, every cloud
- Scoped personal access tokens are now generally available
Restrict tokens to specific API operations with specified permissions. Coming soon to compliance security profile workspaces.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Customer-managed keys for Unity Catalog are generally available
Encrypts data in Unity Catalog catalogs using cloud KMS keys. Requires default storage.
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- New SQL editor default enablement and legacy SQL editor retirement Coming soon
New SQL editor becomes default in May, legacy editor retires in July.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.10 is now available in Preview
Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Search in metric views fix
Now returns correct results across paginated results and supports filtering by display name.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Lakebase databases as Databricks Apps resources
Replaces manual database configuration, requires Lakebase setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 5X-Large SQL warehouse size (Beta)
Available in all supported regions, controlled from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase updates: OAuth role management, budget policies and tags, and Lakehouse sync
Creates OAuth roles via UI or REST API, and replicates Postgres tables to Unity Catalog Delta tables.
- New Lakebase instances include autoscaling by default
Autoscaling is on by default for new instances, applies to UI, API, Terraform, and SDK creations.
- Inbound Private Link for performance-intensive services (Public Preview)
Enables private connectivity for Zerobus Ingest and Lakebase Autoscaling.
- Lakebase is now generally available with compliance security profile
Requires HIPAA, C5, TISAX, or None compliance standard.
AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP, read it on their docs - Customer-managed keys for Unity Catalog (Public Preview)
Protects data with user-owned encryption keys, replacing automatic encryption.
- Lakebase now available in three additional regions
Adds Canada Central, Europe London, and South America São Paulo regions.
- Lakebase now includes high availability
Pairs primary compute with 1-3 secondary instances across zones, automatically promoting a secondary if primary fails.
- Version 18.0
Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.
- HITRUST compliance controls (Public Preview)
Manages risk and demonstrates security and privacy compliance. Requires enabling in settings.
- ISMAP compliance support
Supports Japanese government cloud certification, requires configuration changes.
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- Serverless environment version 5 is now available
Includes CPU and GPU versions.
- Serverless outbound IPs available through public JSON endpoint (Public Preview)
Replaces existing stable IPs, requires Public Preview enrollment.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Personal access tokens preserved when CAN USE permission is revoked
Tokens become unusable but not deleted when permission is revoked, and reactivate if restored.
- Scoped personal access tokens (Beta)
Limits permissions by selecting token type and API scopes, replacing legacy tokens.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Front-end PrivateLink for performance-intensive services (Beta)
Supports private connectivity to Zerobus Ingest and Lakebase Autoscaling.
- Lakebase is now generally available
Includes autoscaling and point-in-time recovery.
- You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs
Defined with YAML files, they support Python, Python wheel, and notebook tasks.
- Manage Lakebase from the Lakebase App
Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.
- Automatic email notifications for expiring personal access tokens (GA)
Sends emails 14 days before token expiration, requires token lifetime to be set.
- Connect to Lakebase from the SQL editor with read-write access
Supports full read-write access, see documentation for setup.
- Lakebase metrics dashboard
Monitors system and database health with metrics like RAM and CPU usage.
- Context based ingress control is now in Public Preview
Enables account admins to set allow and deny rules based on identity, request type, and network source.
- Lakebase ACL support
Grants CAN CREATE or CAN MANAGE permissions from project settings.
- Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- Expanded regional availability for C5 and TISAX compliance
Now available in all regions and with serverless compute.
- Automatic email notifications for expiring personal access tokens (Public Preview)
Sends emails 7 days before token expiration.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Delta Sharing views automatically permitted in serverless network policies
Permitted regardless of storage location alignment between shared tables and view dependencies. Simplifies network policy configuration.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.