Releasesby Glyph[Launched] Generally Available: Restart databases in Azure SQL DB via the Azure portal
You can now restart or fail over databases directly from the Azure portal, including single databases, Hyperscale databases, and databases in elastic pools, without writing scripts against the Rest API or contacting support. Learn more.
Also shipped Nov 2, 2026Microsoft in November 2026 →
Managed warehouse for MLflow (Beta)
Managed warehouse for MLflow is available in Beta, enabling users to view Unity Catalog traces in the MLflow UI without manually choosing a SQL warehouse.
Check out GitHub code without long-lived credentials on self-hosted agents
Self-hosted agents can now use temporary, read-only GitHub App tokens for repository checkout. This eliminates the need to distribute and rotate long-lived SSH keys or personal access tokens across your agent fleet.
Serving tuned Gemini 3.x models on global endpoints
Serving tuned Gemini 3.x models on global endpoints is available in General Availability (GA) . You can copy fine-tuned Gemini 3.x models to the global region using the Model Registry models:copy API, deploy them to global serving endpoints, and send inference requests directly to aiplatform.googleapis.com .
Lakehouse caching for cross-cloud data access is generally available (GA)
Lakehouse caching for cross-cloud data access is generally available (GA). Cross-cloud caching is disabled by default. You can opt in to caching on a Lakehouse federated catalog or a BigQuery cross-cloud connection to cache remote files in your Google Cloud region. This helps reduce cross-cloud egress costs and accelerate subsequent queries.
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations...
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations by using Google Cloud Observability in BigQuery. This feature is generally available (GA).
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs...
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs, lists, tables, and images by using the Document AI layout parser to convert unstructured documents into structured JSON data. This function is generally available (GA).
More from Azure databases and analyticsEvery Azure databases and analytics release →
[Launched] Generally Available: Change from virtual network integration to a private endpoint capable network configuration in Azure Database for PostgreSQL flexible server
You now have greater flexibility in network design for Azure Database for PostgreSQL Flexible Server workloads. Now you can change existing VNet-integrated servers from delegated-subnet networking to a private endpoint-capable configuration, enabling secu
[In preview] Public Preview: Support database-level managed identity (including FIC) in Create Database Scoped Credential T-SQL
Users can now assign a user-assigned managed identity to individual databases in Azure SQL Database. This enables secure access to files in Azure Blob Storage and Data Lake Storage Gen2 via external tables and OPENROWSET.
[Launched] Generally Available: Azure Cosmos DB Safe Key Rotation
Microsoft announced the general availability of Safe Key Rotation for Azure Cosmos DB, exposing last-used timestamp metadata for account keys to assist in credential rotation and retirement.
[In preview] Public Preview: Azure Databricks Private network gateway
Private network gateway for Azure Databricks is now in Public Preview, enabling serverless compute to connect to resources in your virtual network (VNet) and transitively connected networks through a single managed gateway. Customers can use the gateway t
[Launched] Generally Available: Azure Database for PostgreSQL flexible server in East US 3
Now you can deploy Azure Database for PostgreSQL flexible server in the East US 3 Azure region. Learn more.
Retirement: Always Encrypted with Intel SGX Enclaves
Always Encrypted with Intel SGX enclaves in Azure SQL Database will retire on October 31, 2027 as support for SGX-enabled DC-series hardware is phased out. Customers should transition to Virtualization-Based Security (VBS) enclaves, a hardware-independent
[In preview] Public Preview: Azure Backup for PostgreSQL flexible server and elastic cluster (v2)
Azure Backup for PostgreSQL flexible server and elastic cluster (v2) preview brings enterprise-grade long-term retention to PostgreSQL. Backups are taken as physical backups from managed disk snapshots and vaulted in an Azure Backup vault, so protection n
[In preview] Public Preview: Major version upgrades (MVU) for Azure Database for PostgreSQL elastic clusters
MVUs are now available for elastic clusters in Azure Database for PostgreSQL. You can upgrade an existing elastic cluster to a supported newer PostgreSQL version in place without provisioning a replacement cluster, migrating distributed data, or changing