Oracle Cloud Infrastructure Documentation / Release Notes

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140 Release Notes

External Authentication Support for Database Tools in Autonomous AI Database

Autonomous AI Database extends external authentication support to Database Tools. You can sign in to Database Actions and supported tools using Oracle Cloud Infrastructure IAM, Microsoft Entra ID, Google Cloud Platform, AWS Cognito, Okta, as a globally identified database user, eliminating the need for database passwords. This support for external authentication in Database Actions (SQL Developer Web) and Data Studio enables you to leverage centralized identity management and single sign-on capabilities.

Expose Select AI Agent team as agent through A2A protocol

Oracle Autonomous AI Database now supports a managed Agent2Agent (A2A) server that exposes Select AI agent teams through the open standard A2A protocol. This feature allows external A2A-compatible client agents to discover and call published Select AI agent teams by using standard HTTPS interfaces and protocol-based communication, reducing the need for custom integrations. This allows Oracle Autonomous AI Database to participate in broader multi-agent workflows while keeping the agent logic and data access inside the database.

Oracle Data Science Agent

Oracle Data Science Agent is supported with Oracle Autonomous AI Database Serverless 26ai. With Oracle Data Science Agent, you can profile data, prepare features, train models, evaluate results, and generate inference SQL through a guided chat experience in Oracle Machine Learning.

DBMS_SHARE Subprograms

Oracle Autonomous AI Database provides DBMS_SHARE subprograms to simplify delta sharing setup and subscription workflows. These subprograms support share profile generation, credential creation, profile validation, and provider subscription management.

SharePoint support in DBMS_CLOUD

You can read and list files directly from SharePoint using the DBMS_CLOUD package, making it easier to load data into the Autonomous AI Database. A DOWNLOAD pipeline type also enables you automate ingestion from these sources, with support for extended metadata in SharePoint.

Manage Oracle Cloud Operator Access

Cloud Operator access for troubleshooting and issue mitigation now includes an additional option. Permissions can be granted for a defined duration or as unlimited access, which remains in effect until explicitly revoked.

Zero Data Loss Protection with Local Autonomous Data Guard Standby

For Autonomous Data Guard, zero data loss protection (RPO = 0) is provided for a local standby database. Autonomous Data Guard performs automatic failover to a local standby database when a standby is available and the system guarantees zero data loss. If a data loss limit is specified (0 to 3600 seconds), failover occurs within the defined limit.

Migrate Data with DBMS_CLOUD_IMPORT

You can use DBMS_CLOUD_IMPORT to import data into Autonomous AI Database. DBMS_CLOUD_IMPORT supports Oracle source databases as well as non-Oracle databases, for example, MySQL, PostgreSQL, and Amazon Redshift. You can import either the entire or the subset of the data stored in a supported source database.

OCI Cache Backup and Restore

  • Services: OCI Cache
  • Release Date: April 29, 2026

The new OCI Cache Backup and Restore feature adds advanced data protection and disaster recovery for OCI Cache clusters. ...

Deprecated attributes

To improve the clarity and accuracy of the Support Management API documentation, several unused attributes are being deprecated. These ...

Oracle Spatial Studio

Oracle Spatial Studio provides a no-code user interface to access the spatial features of Oracle Database. The interface supports spatial data loading, preparation, visualization, and analysis. Spatial Studio is a fully integrated feature of Autonomous AI Database and appears in the Tool Configuration Tab on the Autonomous AI Database Details page. It is available only for the Elastic CPU (ECPU) model.

Granular Permissions for Autonomous AI Database Policies

The actiontype variables in Autonomous AI Database enables precise control over sub-operations like adminPassword, scheduledOperations, manageEncryptionKeys, and more during database creation or updates. This supports separation of duties, least-privilege access, and compliance, without disrupting existing broad permissions.

Secret-Based Password Authentication for Autonomous AI Database Users

With secret- based password authentication, you can create and manage database users whose passwords are stored as secrets in a cloud provider’s vault and referenced through a vault secret credential. The database fetches the password from the vault during authentication, generates verifiers only in memory, and does not persist passwords or verifiers on disk.