Autonomous Database Serverless

Monitor Storage Cache Hit Metrics

You can now monitor storage cache read-hit and write-hit metrics. These metrics show the percentage of database input and output requests served from the storage cache for read and write operations, helping you assess cache effectiveness.

Select AI Support for Gemini Enterprise Agent Platform

Select AI supports Gemini Enterprise Agent Platform as an AI provider. You can configure a Select AI profile to use Gemini Enterprise Agent Platform models for Select AI actions such as natural language to SQL generation, chat, showsql, explainsql, embeddings, and other Select…

Multidimensional Analytics with Oracle Essbase

Essbase is available as a managed tool in Autonomous AI Database Serverless. You can enable Essbase for an existing Autonomous AI Database instance and use its multidimensional analytics, modeling, planning, forecasting, and financial reporting capabilities without deploying or…

Improve Iceberg External Table Query Performance with Partition Pruning

Autonomous AI Database can now use Apache Iceberg partition information to optimize queries on Iceberg external tables. Autonomous AI Database uses the Iceberg metadata to skip files that are not needed for a query.

Select AI for Java

Select AI for Java provides a Java SDK for using Select AI capabilities in Java applications. Use the Java-native API to work with AI profiles, credentials, conversations, vector indexes, natural-language SQL, RAG, summarization, translation, feedback, and synthetic data…

Share and Run the Select AI Agent Framework teams Across Schemas

You can now share the Select AI Agent Framework teams across database schemas. Define and manage an agent team in one schema, then grant another database user or role permission to run the team by using an owner-qualified team name.

Update Multiple Credential Attributes with DBMS_CLOUD.UPDATE_CREDENTIAL

You can use DBMS_CLOUD.UPDATE_CREDENTIAL to update multiple credential attributes in a single operation. This is useful when related values, such as an OCI signing key and its fingerprint, must be changed together.

Maintenance Schedule Selection in OCI

You can change the maintenance window of an existing Autonomous AI Database instance using the Oracle Cloud Infrastructure Console. This capability helps pick a maintenance window for your Autonomous AI Database instance that is most convenient for your business needs.

Changes to DBMS_CLOUD.EXPORT_DATA Parquet Type Mappings

DBMS_CLOUD.EXPORT_DATA uses an implementation when exporting data in Parquet format, providing improved reliability and performance. This change also updates the Oracle-to-Parquet column type mappings in generated Parquet files.

External File System Support for Workload Capture and Replay

You can use external file system support for workload capture and replay to store workload capture files, replay files, and replay reports in a customer-managed directory, in addition to Object Storage, giving you greater flexibility and control over workload storage and…

GET_DEFINITION Functions for DBMS_CLOUD Packages

The GET_DEFINITION functions return executable PL/SQL definitions for supported objects created with the DBMS_CLOUD_AI, DBMS_CLOUD_AI_AGENT, DBMS_CLOUD_PIPELINE, and DBMS_CLOUD packages.

Import and Export Select AI Agent Teams

Oracle Autonomous AI Database supports importing and exporting Select AI agent team definitions by using the DBMS_CLOUD_AI_AGENT.IMPORT_TEAM and DBMS_CLOUD_AI_AGENT.EXPORT_TEAM APIs.

Time Travel for Apache Iceberg Tables

You can query Apache Iceberg external tables as they existed at a specified time by using Oracle SQL AS OF TIMESTAMP.

Configure HTTP Retry Behavior for DBMS_CLOUD.SEND_REQUEST

You can configure HTTP retry behavior for individual DBMS_CLOUD.SEND_REQUEST calls by using the optional retry_params parameter. The retry_params JSON object lets you disable retries, limit retry attempts, set a total retry timeout, and configure exponential backoff delays.

Select AI Supervisor Agent

Select AI supports the Supervisor Agent pattern for multi-agent orchestration. A supervisor agent dynamically selects and coordinates specialized worker agents at runtime based on user requests and intermediate results, enabling flexible workflows without a predefined run…

Select AI Agent Framework Enhancements

Use Oracle Select AI Agent framework's DBMS_CLOUD_AI_AGENT package APIs to discover and call tools, discover agent teams, check team run state, call tools from agent-direct sessions, and configure memory depth.

Availability Domain Selection in Autonomous AI Database

You can change the availability domain of an existing Autonomous AI Database instance using the Oracle Cloud Infrastructure Console.

Oracle APEX 26.1

Autonomous AI Database uses Oracle APEX Release 26.1, which includes new features and enhancements for developing and running enterprise applications.

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.

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,…