Oracle and Google have eliminated the IT middleman for business intelligence queries with a natural language interface that connects directly to corporate databases. The Oracle Artificial Intelligence Database Agent announced today enables employees to ask questions of enterprise data without understanding SQL or database schemas.
Available immediately through Google Cloud Marketplace, the service targets customers running Oracle Autonomous Database on Google's infrastructure.
Existing clients receive access at no extra charge during an initial limited rollout period before wider distribution planned for summer across 15 cloud regions.
"Business users traditionally contact IT when they need answers from company data," explained Arpan Shah, Oracle's senior vice president of database product marketing. "Now they can pose questions directly through Gemini Enterprise using everyday language."
Unlike approaches that copy sensitive information into separate AI systems, Oracle processes queries entirely within its database environment. Security permissions apply automatically based on user identities from the front-end interface, maintaining existing access controls without moving protected data outside established boundaries.
The integration launches as Google enhances its Gemini Enterprise application with expanded tools for creating and managing AI agents within workplace collaboration tools. The platform provides pre-built agents for common tasks like research and documentation alongside options for custom workflow automation without coding requirements.
Developers can incorporate the Oracle agent functionality into applications built on Google's Vertex AI platform while supporting multi-agent interactions for complex business processes.
Performance varies by deployment configuration with co-located services reducing response times within cloud regions.
Oracle emphasized potential cost advantages by handling semantic interpretation and query generation inside databases rather than relying on external AI services charging per token processed. The system builds upon recently introduced granular security controls operating at individual row and column levels within databases.
The partnership expansion coincides with Google Cloud Next where enterprise AI capabilities receive additional governance features through the Gemini Enterprise Agent Platform.
Business intelligence workflows now connect directly to operational databases without intermediate translation layers that historically delayed decision-making cycles.
