Databricks releases, every cloud
- Genie Code can now build intelligent document processing pipelines
It orchestrates parsing, classification, extraction, and validation of unstructured PDFs, contracts, or invoices.
- Lakebase backup schedule API (Beta)
Manages automated snapshot cadences and retention. Available to all Lakebase workspaces.
- Unused OAuth client secrets are automatically deleted after 90 days
Deletes unused secrets after 90 days, create new if still needed.
- Lakebase snapshots API (Beta)
Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Window measures on a numeric index column in metric views
Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- External secrets in Unity Catalog (Beta)
Connects Unity Catalog schema to AWS Secrets Manager, appearing as read-only objects.
- Genie Code adds conversation controls
Lets you fork conversations, use /btw for side questions, and edit earlier messages.
- Databricks SQL version 2026.36 is rolling out in Current
It includes features from version 2026.32.
- Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Requires compliance security profile enabled. Previously limited to us-east-1 region.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Compliance security profile will enforce Azure Virtual Network encryption Coming soon
Enforces Azure Virtual Network encryption on workspaces starting February 1, 2027.
- Lakebase now available in Azure Japan East region (japaneast)
Available in japaneast region, requires Postgres database setup.
- Databricks SQL version 2026.36 is now available in Preview
It includes features from version 2026.32.
- Restrict service principal OAuth secrets to specific API scopes
Restricts OAuth secrets to specific API scopes like sql or jobs, limiting leaked secret impact.
- Genie Code is now available as a Lakeflow Jobs task (Beta)
Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.
- LTAP Direct Writes accelerates synced table loads (Beta)
Requires Postgres 17, enabled from Previews page. Writes directly to storage layer.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Databricks SQL version 2026.32 is rolling out in Current
It is available in the Current channel and includes new features.
- Genie Code is now available in the Lakebase project UI
Lets you run multi-step data and AI tasks with natural language input. Available for all Lakebase projects.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Inbound Private Service Connect for performance-intensive services (Beta)
Enables private connectivity to services like Zerobus Ingest and Lakebase Autoscaling on Google Cloud.
- Lakebase adds compliance security profile standards on Azure
Supports ISMAP, IRAP, and UK Cyber Essentials Plus on Azure.
- Choose an effort level in Genie Code
Sets balance between response quality and cost, defaults to Auto for highest quality.
- Lakebase available in four new Azure regions
Added to North Central US, France Central, Germany West Central, and East Asia regions.
- Genie Code supports file uploads
Uploads are used as chat context, see Attach files for details.
- Block or redact sensitive data in requests and responses
Detects SSNs, credit cards, and phone numbers using regex and checksums. Requires Enhanced Unity Gateway preview.
- Cross-workspace access for serverless (Beta)
Controls serverless network traffic between workspaces with ingress and egress rules.
- Custom URL access to workspaces over inbound Private Link (Beta)
Uses general_access private endpoint, serves workspaces and account-level resources across regions.
- ABAC GRANT policies now cover Unity Gateway resource types (Beta)
Supports model services, model provider services, MCP services, and agent services, allowing tag-based access.
- Databricks SQL version 2026.32 is now available in Preview
It includes the is_valid_variant function and supports REPLACE USING and REPLACE ON clauses with INSERT INTO.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Lakebase now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- READ METADATA privilege is GA
Provides read-only visibility into security-sensitive metadata, including privilege grants and ABAC policies.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Inherits custom tags from enclosing SQL warehouse environment for billing.
- Create a least-privilege Databricks workspace
Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.
- Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)
Uses Unity Catalog database telemetry and conversation with Genie for troubleshooting.
- Warehouse-level statement timeouts (Beta)
Set via statement_timeout field in Create or Update warehouse APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase now provides a service level agreement (SLA)
Commits to monthly uptime percentage for zone-redundant and single-compute endpoints.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.