Databricks releases, every cloud
- Lakebase snapshots API (Beta)
Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.
- Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Requires compliance security profile enabled. Previously limited to us-east-1 region.
- 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 now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Genie One is now available in Google Sheets
Queries governed data in natural language, importing results as native rows and columns.
- Genie One is now available in Microsoft Excel
Queries governed data in natural language, importing results as native rows and columns.
- Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)
Uses Unity Catalog database telemetry and conversation with Genie for troubleshooting.
- 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.
- 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.
- Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Write data from Microsoft Excel back to Databricks
Writes to Unity Catalog tables, overwriting existing ones if needed.
- Lakebase snapshot storage is now billed
Billed starting June 1, 2026, with size shown on Backup & Restore page.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- Lakebase now supports compute sizes up to 64 CU (128 GB)
Replaces 32 CU (64 GB RAM) limit, enables dynamic scaling for larger workloads.
- Databricks Add-in for Excel support for all compliance security profile standards
Supports all Databricks compliance security profiles. Requires Public Preview.
- Recover a deleted Lakebase project within 7 days
Restores all branches, databases, and settings. Requires action within 7 days.
- View run history for scheduled refreshes in Google Sheets
Shows Run ID, start time, and success status for each run.
- HIPAA support for the Databricks Add-in for Excel
Available for workspaces with HIPAA compliance across all supported regions.
- Upcoming change: Upgrade to Lakebase Autoscaling Coming soon
Upgrades start in June 2026, replacing Provisioned instances with autoscaling, requiring updated connection strings for some Private Link setups.
- Databricks Excel Add-in requires workspace preview enablement
Enabled from the Previews page by a workspace admin.
- Lakebase OpenTelemetry export (Beta)
Exports Lakebase metrics and logs to OTLP-compatible backends like Grafana Cloud or Datadog. Configured from the Lakebase App.
- Lakebase: Customer-managed keys
Uses a cloud KMS customer-managed key for encryption.
- Connect Lovable apps to Databricks
Uses REST API and OAuth machine-to-machine authentication.
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Databricks Connector for Google Sheets updates
Longer query execution timeout and UI improvements added.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks JDBC driver 2.8.0 is available
Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - 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.
- 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.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- 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.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.