Databricks releases, every cloud
- Lakebase Search is generally available
Adds scalable vector and keyword search to Lakebase projects via Postgres extensions.
- Lakebase snapshots API (Beta)
Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- The Azure Databricks Excel Add-in is now generally available
Connects Excel to Azure Databricks workspace for querying and data import. Enables Live query for pivot tables.
- The Databricks Excel Add-in is now generally available
Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.
- Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Requires compliance security profile enabled. Previously limited to us-east-1 region.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Environment version 6 is now available
Supports serverless and standard classic compute.
- 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.
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- 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.
- Lakebase Postgres APIs are now generally available
Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.
- Lakebase now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Genie One is now available in Google Sheets
Queries governed data in natural language, importing results as native rows and columns.
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- Genie One is now available in Microsoft Excel
Queries governed data in natural language, importing results as native rows and columns.
- Lakebase is enabled by default in compliance security profile workspaces
Replaces manual Lakebase enablement in HIPAA, C5, or TISAX workspaces.
- Serverless compute access control is now generally available
Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
- Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)
Uses Unity Catalog database telemetry and conversation with Genie for troubleshooting.
- Agentic code converter is in Beta
Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
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) - July 6, 2026
Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.
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.
- Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview
Creates a read-only mirrored catalog, allowing Fabric users to query Unity Catalog tables directly.
- 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.
- Lakebase Postgres is now in Beta
Available in us-east4, us-central1, and europe-west3 regions.
- Write data from Microsoft Excel back to Azure Databricks
Writes to Unity Catalog tables, overwriting existing ones if needed.
- 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.
- Workspace admin setting for serverless notebook execution timeout
Replaces manual override process, defaults to 2.5 hours.
- Postgres password authentication is now disabled by default for new Lakebase projects
Existing projects are unaffected, enable in project settings to allow.
- Configure Microsoft Entra ID SSO for Power BI (Public Preview)
Uses account-level federation policy, replacing manual config.
- 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.
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.