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December 2025 platform release notes

These features and SAP Databricks platform improvements were released in December 2025. The cloud the release applies to is indicated for each release note.

note

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

Single-use refresh tokens for OAuth applications

December 22, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

You can now configure single-use refresh tokens for OAuth applications integrated with SAP Databricks. This security feature requires token rotation after each use, enhancing protection for user-to-machine authentication flows.

Anthropic Claude Haiku 4.5 now available as a Databricks-hosted model

December 19, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Mosaic AI Model Serving now supports Anthropic Claude Haiku 4.5 as a SAP Databricks-hosted model. You can access this model using Foundation Model APIs pay-per-token.

View latest scheduled notebook job results

December 18, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

SAP Databricks notebooks can now show the latest scheduled notebook run directly in your notebook and notebook dashboards. You can also update the notebook with the latest run results.

Context-based ingress control is now in Preview

December 17, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Context-based ingress control is now in Preview. This feature enables account admins to set allow and deny rules that combine who is calling, from where they are calling, and what they can reach in SAP Databricks. Context-based ingress control ensures that only trusted combinations of identity, request type, and network source can reach your workspace. A single policy can govern multiple workspaces, ensuring consistent enforcement across your organization.

Vector Search reranker is now generally available

December 8, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

The Vector Search reranker is now generally available. Reranking can help improve retrieval quality.