Databricks releases, every cloud
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- 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.
- 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.
- Lakebase ACL support
Grants CAN CREATE or CAN MANAGE permissions from project settings.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
- Serverless compute is now available in Azure China North 3
Available for notebooks, jobs, pipelines, and SQL warehouses.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- Serverless compute is now available in new regions
Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Serverless notebook tasks can now use jobs environment
Replaces inherited serverless environment with configurable job environment.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Lakebase (Beta) now available
Adds autoscaling and database branching on AWS, separate from Public Preview.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- The billable usage table now records the performance mode of serverless jobs and pipelines
Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- OLTP Database tab renamed to Lakebase Postgres in Compute section
Used to create and manage Lakebase database instances, replacing OLTP Database tab.
- Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode
Syncs Iceberg and foreign tables in Snapshot mode, requiring a supported Databricks runtime.
- Data type mapping update for Lakebase synced tables
Newly created synced tables map TIMESTAMP to TIMESTAMP WITH TIMEZONE. Existing tables still use TIMESTAMP WITHOUT TIMEZONE.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 2025.
- Declarative Automation Bundles support for Lakebase database resources
Defines Lakebase database catalogs, instances, and synced tables for one-command deployment. Starts instances immediately upon bundle deployment.
- Databricks SQL version 2025.25 is now available in Preview
Adds recursive common table expressions and spatial SQL expressions.
- Fixed timeout handling for materialized views and streaming tables
New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.
- Databricks Terraform provider supports Lakebase resources
Creates database catalogs, instances, and synced tables with infrastructure as code.
- Preset date ranges for parameters in the SQL editor
Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.
- Synced tables are now metered and billed
Metering is automatic, usage is tracked in system.billing.usage.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
- Inline execution history in SQL editor
Shows past results without re-executing queries, links to past query profiles.
- Databricks SQL version 2025.20 is now available in Current
Rolls out in stages to the Current channel, see 2025.20 features for details.
- SQL editor updates
Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.
- Git support for alerts
Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.
- Databricks SQL version 2025.20 is now available in Preview
Includes new features and behavioral changes in Preview channel.
- Databricks SQL Serverless engine upgrades
Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.
- User interface updates
Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.
- User interface updates
New queries are created in Drafts folder by default, moving out when saved or renamed.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.