Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- 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.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Lakebase now available in Azure Japan East region (japaneast)
Available in japaneast region, requires Postgres database setup.
- LTAP Direct Writes accelerates synced table loads (Beta)
Requires Postgres 17, enabled from Previews page. Writes directly to storage layer.
- 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.
- Lakebase adds compliance security profile standards on Azure
Supports ISMAP, IRAP, and UK Cyber Essentials Plus on Azure.
- Lakebase available in four new Azure regions
Added to North Central US, France Central, Germany West Central, and East Asia regions.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- 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.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Search and replace text across files
Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Inherits custom tags from enclosing SQL warehouse environment for billing.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- 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) - Mention Genie Code in notebook comments
Triggers AI help inline by typing @ and selecting Genie Code.
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.
- Lakebase is now SOC 2 Type 2 compliant
SOC 2 Type 2 compliance covers security and availability controls. Reports are available through account teams.
- Lakebase update notifications now post 3 days in advance
Replaces 7-day notice, check project settings for upcoming updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase now available in AWS Tokyo region (ap-northeast-1)
Available in ap-northeast-1, supports Postgres database.
- Lakehouse Real-Time (Beta)
Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.20 is now available in Preview
Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase now supports Postgres 18
Postgres 17 remains the default, select Postgres 18 when creating a project.
- Lakebase Search adds vector, keyword, and hybrid search to Postgres (Beta)
Adds vector and keyword search to Postgres with lakebase_vector and lakebase_text extensions, replacing separate search stacks.
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase snapshot storage is now billed
Billed starting June 1, 2026, with size shown on Backup & Restore page.
- Databricks SQL version 2026.15 is now available in Preview
XPath no longer fetches external DTDs, fixing failures from malformed URLs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Customer-managed keys for Lakebase available in all AWS and Azure regions
Encrypts project data at rest using a custom cloud KMS key. Available for new projects.
- Fixed LOD expression syntax update for metric views
Uses SQL window functions, replacing two-step pre-computation approach.
- Lakebase now supports compute sizes up to 64 CU (128 GB)
Replaces 32 CU (64 GB RAM) limit, enables dynamic scaling for larger workloads.
- Recover a deleted Lakebase project within 7 days
Restores all branches, databases, and settings. Requires action within 7 days.
- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
- Native data profiling for notebook results tables
View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.
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.