Oracle & Google Cloud add Gemini Enterprise database agent

Oracle and Google Cloud have expanded their partnership with a new Oracle AI Database Agent for Gemini Enterprise. The addition extends Oracle AI Database@Google Cloud for customers that want to query Oracle data in natural language.

Available through Google Cloud Marketplace, the agent is designed to let Gemini Enterprise users ask questions of Oracle databases without writing SQL. It uses Oracle AI Database to return context-aware answers while keeping data in place rather than moving or duplicating it.

The launch adds a new layer to a partnership already focused on running Oracle database services alongside Google Cloud infrastructure. The companies are targeting customers that want to apply AI tools to operational data while keeping existing database controls and governance in place.

Nathan Thomas, Senior Vice President of Product Management at Oracle Cloud Infrastructure, said the goal is to reduce friction in working with enterprise data through AI interfaces. "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," he said.

"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."

Google Cloud positioned the launch as part of a broader push to make AI agents useful in day-to-day business systems. Satish Thomas, Vice President of Applied AI & Platform Ecosystem at Google Cloud, said, "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."

"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."

Natural language access

Oracle said the database agent interprets user requests, queries governed Oracle data, and returns responses grounded in enterprise records. That could include routine business questions such as revenue trends by region or product line, with answers intended to support pricing or sales decisions.

The product can also be used by developers in broader AI workflows through the Gemini Enterprise Agent Platform. In that setup, Oracle data can be connected with other AI tools to automate tasks including extraction, analysis, and visualisation.

One early user highlighted by Oracle is AI Shift, a CyberAgent subsidiary in Japan that develops agentic AI systems for business processes across customer service, marketing, and sales. The company already uses Oracle Autonomous AI Database on OCI for its agent development platform and plans to extend deployments to Oracle AI Database@Google Cloud.

Yuto Yoneyama, Chief Executive Officer of AI Shift, said, "The Oracle AI Database Agent represents an important advancement in how we use AI with enterprise data."

"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."

Migration demand

Oracle also used the update to outline new functions for Oracle AI Database@Google Cloud and point to broader regional expansion. It said customers are adopting the service as part of cloud migration projects and as a way to combine Oracle database estates with Google Cloud services.

Worldline, the European payments provider, is among the reference customers named by Oracle. The group processes billions of transactions globally and is using Oracle Exadata Database Service on Oracle AI Database@Google Cloud to modernise its payment processing platform.

Arni Smit, Director of Software Engineering, Integration and Payment Platform at Worldline, said, "Worldline operates one of the largest payment processing platforms, for which consistent low latency and high throughput are non-negotiable."

"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."

New regions

Among the additions, Oracle said OCI GoldenGate will support real-time migration of Oracle databases to Oracle AI Database@Google Cloud and help customers build high-availability setups through live data movement. Oracle Autonomous AI Lakehouse can also now read BigQuery Iceberg tables directly, supporting analysis across Oracle and Google Cloud data environments without duplicating data.

Oracle AI Database@Google Cloud is now available in 15 regions: Tokyo, Osaka, Mumbai, Delhi, Sydney, Melbourne, Milan, Frankfurt, Montreal, Toronto, São Paulo, London, Iowa, Ashburn, and Salt Lake City.