Oracle and Google Cloud have expanded their partnership, adding new AI capabilities to Oracle AI Database@Google Cloud, including an Oracle AI Database Agent for Gemini Enterprise. The companies said the update is aimed at helping organisations query Oracle data using natural language while maintaining governance and security controls.
The Oracle AI Database Agent is available through Google Cloud Marketplace and is designed to let Gemini Enterprise customers interact with Oracle data without writing SQL. According to the release, the agent interprets requests, queries governed Oracle data, and returns responses without moving or duplicating data, and can also be connected with tools in Google’s Gemini Enterprise Agent Platform to automate tasks such as data extraction, analysis and visualisation.
“We’re making it easier for customers to use natural language to access, understand, and act on enterprise data by combining the Gemini Enterprise experience with Oracle’s industry-leading database performance, security, and governance,” said Nathan Thomas, senior vice president, product management, Oracle Cloud Infrastructure. “By applying AI directly to enterprise data at the database layer, customers can improve accuracy, strengthen controls, and use models more efficiently without exposing sensitive data or adding complexity. Together, we’re making it easier for our customers to power agentic AI with trusted business data.”
“To deliver real impact from agentic AI, customers need a simple, trusted way to interact with their valuable business data using intelligent agents such as the Oracle AI Database Agent,” said Satish Thomas, vice president, applied AI & platform ecosystem, Google Cloud. “By making this agent accessible through Gemini Enterprise, we’re giving customers greater flexibility to apply AI to data stored in Oracle databases and turn that data into meaningful business value.”
The announcement also outlines additional capabilities for Oracle AI Database@Google Cloud. Oracle Cloud Infrastructure (OCI) GoldenGate is planned to support real-time Oracle database migrations to Oracle AI Database@Google Cloud and integrate with Google BigQuery for near real-time analytics; the companies said GoldenGate would be “generally available soon.” Oracle also said Oracle Autonomous AI Lakehouse will be able to read BigQuery Iceberg tables directly to reduce data duplication.
Oracle said Oracle AI Database@Google Cloud is now available in 15 regions, including Sydney and Melbourne, with additional regional availability planned within 12 months in Turin and Mexico.
The release cited customer examples, including payments provider Worldline, which it said is using Oracle Exadata Database Service on Oracle AI Database@Google Cloud to modernise its payment processing platform.
“Worldline operates one of the largest payment processing platforms, for which consistent low latency and high throughput are non-negotiable,” said Arni Smit, director, software engineering, integration and payment platform, Worldline. “Oracle AI Database@Google Cloud gives us the scalability, resilience, and security capabilities we require to support real-time transaction processing at global scale by delivering the power of Oracle Exadata within Google Cloud.”
Japan-based AI Shift, a subsidiary of CyberAgent, was also cited as planning to use the Oracle AI Database Agent to help customers expand Oracle AI Database deployments to Oracle AI Database@Google Cloud.
“The Oracle AI Database Agent represents an important advancement in how we use AI with enterprise data,” said Yuto Yoneyama, CEO, AI Shift. “With Gemini Enterprise, our users can move from writing SQL to asking questions in natural language to get answers grounded in trusted enterprise data. That helps us speed development, improve the quality of results, and make faster, more informed decisions without compromising governance and control.”
