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June 2025 platform release notes

These features and SAP Databricks platform improvements were released in June 2025.

note

Releases are staged. Your SAP Databricks account might not be updated until a week or more after the initial release date.

Platform releases​

New Databricks JDBC Driver is open source​

June 26, 2025

The new Databricks JDBC Driver is now open source. The source code is publicly available under the Apache 2.0 license. Community contributions are welcome. See the Contribution Guidelines.

MLfLow support for compliance security profile standards​

June 25, 2025

MLflow now supports all compliance security profile standards supported by SAP Databricks, such as HIPAA, PCI-DSS, and FedRAMP Moderate. For a full list of supported compliance standards, see Compliance controls available on AWS deployments.

Custom rate limits for model serving endpoints​

June 23, 2025

You can now specify custom rate limits for your model serving endpoints using AI Gateway. Provide rate limits for any of the following:

  • Endpoint: Specify the overall rate limit for all traffic passing through the endpoint, regardless of individual or user group limits.
  • User (Default): Specify the rate limit for all users of the endpoint that do not have user-specific or group-specific rate limits defined.
  • Specific user: Specify the rate limit for a particular user of the endpoint.
  • Service principal: Specify the rate limit for a particular service principal.
  • User group: Specify the rate limit for a particular user group. This limit is shared across all members of the group.

Expanded feature support for FIPS-Compliant environments​

June 20, 2025

Model Serving CPU and GPU workloads, Foundation Model API provisioned throughput endpoints (excluding LLaMA 4), Mosaic AI Gateway, and external models are now available in FIPS-compliant environments. This includes support for the following compliance standards offered through the compliance security profile:

  • FedRAMP Moderate
  • IRAP

AI documentation for Unity Catalog tables and columns now uses the same model as Databricks Assistant​

June 18, 2025

AI documentation for Unity Catalog tables and table columns now uses a Databricks-hosted model:

  • If you already use a Databricks-hosted model for Assistant, there is no change.
  • If you turn off Partner-powered AI assistive features, AI documentation now stays available and uses a Databricks-hosted model.

Monitor and revoke personal access tokens in your account (GA)​

June 11, 2025

The token report page enables account admins to monitor and revoke personal access tokens (PATs) in the account console. Databricks recommends you use OAuth access tokens instead of PATs for greater security and convenience.

AI Gateway is now generally available​

June 11, 2025

Mosaic AI Gateway is now generally available. AI Gateway is a centralized service that streamlines the usage and management of generative AI models within an organization.

AI Gateway brings governance, monitoring, and production readiness to model serving endpoints using the following features:

  • Permission and rate limiting to control who has access and how much access.
  • Payload logging to monitor and audit data being sent to model APIs using inference tables.
  • Usage tracking to monitor operational usage on endpoints and associated costs using system tables.
  • Traffic routing to load balance traffic across multiple models.
  • Fallbacks for external models to minimize production outages during and after deployment.

MLflow 3.0 is generally available​

June 10, 2025

MLflow 3.0 is now generally available.

MLflow 3.0 on SAP Databricks delivers state-of-the-art experiment tracking, observability, and performance evaluation for machine learning models, generative AI applications, and agents on the Databricks Lakehouse.

Manage network policies for serverless egress control (Generally Available)​

June 9, 2025

You can configure and enforce outbound network policies for serverless compute resources, including SQL warehouses and model serving endpoints.

With network policies you can:

  • Configure outbound access for serverless workloads.
  • Allowlist specific domains and storage accounts for restricted mode.
  • Enable dry-run mode to monitor policy impact before enforcement.
  • View and analyze denial logs in Unity Catalog for auditing and troubleshooting.

See Manage network policies for serverless egress control

New consumer entitlement is generally available​

June 5, 2025

Workspace admins can now grant consumer access as an entitlement to users, service principals, and groups. This allows for more fine-grained control over what users can do in a SAP Databricks workspace. Key details:

  • Consumer access enables limited workspace UI access.

  • Useful for business users who need access to shared content, but not to author or manage workspace objects.

  • This entitlement is more restrictive than workspace access or Databricks SQL access. To assign it independently, remove broader entitlements from the users group and configure them per user or group.

History sharing now enabled by default for Delta Sharing between two SAP Databricks workspaces (GA)​

June 3, 2025

Delta Sharing between two SAP Databricks workspaces now has history sharing enabled by default, helping improve table read performance.

Databricks SQL release notes June 2025​

The following Databricks SQL features and improvements were released in June 2025.

New features and improvements​

Databricks SQL Serverless engine upgrades

The following engine upgrades are now rolling out globally, with availability expanding to all regions over the coming weeks.

  • Lower latency: Mixed workloads now run faster, with up to 25% improvement. The upgrade is automatically applied to serverless SQL warehouses with no additional cost or configuration.
  • Predictive Query Execution (PQE): PQE monitors tasks in real time and dynamically adjusts query execution to help avoid skew, spills, and unnecessary work.
  • Photon vectorized shuffle: Keeps data in compact columnar format, sorts it within the CPU's high-speed cache, and processes multiple values simultaneously using vectorized instructions. This improves throughput for CPU-bound workloads such as large joins and wide aggregation.

User interface updates​

Query insights

  • Visiting the Query History page now emits the listHistoryQueries event. Opening a query profile now emits the getHistoryQuery event.
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