Oracle Corporation and Google Cloud announced on April 22, 2026, a major expansion of their multicloud partnership, headlined by the release of the Oracle AI Database Agent for Gemini Enterprise. This new capability integrates Google’s advanced generative AI models with Oracle’s database technology, allowing organizations to interact with their structured and unstructured data using natural language. The announcement marks a deepening of the Oracle Database@Google Cloud initiative, which seeks to eliminate data silos and simplify the deployment of enterprise-grade AI applications.
The Oracle AI Database Agent for Gemini Enterprise is designed to bridge the gap between complex database schemas and business users. By leveraging Gemini’s reasoning capabilities, the agent can interpret conversational prompts, generate precise SQL queries, and retrieve relevant data from Oracle Autonomous Database and Oracle Exadata Database Service. According to technical specifications released by Oracle, the agent utilizes Retrieval-Augmented Generation (RAG) to ensure that AI-generated responses are grounded in the customer’s private enterprise data, maintaining high levels of accuracy and reducing the risk of hallucinations.
Larry Ellison, Oracle’s Chairman and Chief Technology Officer, stated that the partnership is a response to the growing demand for multicloud environments where data can reside in one cloud while being processed by AI models in another. Ellison noted that the integration allows customers to use Google’s AI tools without the latency or security risks typically associated with moving massive datasets across different cloud providers. Thomas Kurian, CEO of Google Cloud, echoed these sentiments, highlighting that the collaboration provides a unified infrastructure for building and scaling generative AI agents that can act on real-time operational data.
The rollout includes the immediate availability of the AI Database Agent in several key Google Cloud regions, including North America, Europe, and Asia-Pacific. Oracle confirmed that the service is built with enterprise-grade security protocols, ensuring that sensitive data remains within the customer’s controlled environment and is not used to train Google’s public foundation models. This security framework is a core component of the Oracle Database@Google Cloud architecture, which places Oracle hardware directly into Google Cloud data centers to provide low-latency connectivity.
Beyond the AI Agent, the companies announced that Oracle Database@Google Cloud will now support additional Oracle services, including Oracle GoldenGate for real-time data integration and Oracle HeatWave for high-performance analytics. These additions are intended to provide a comprehensive data platform for developers building AI-powered applications. Oracle and Google Cloud also shared that several Fortune 500 companies in the financial services and healthcare sectors have already begun pilot programs using the Gemini-integrated agent to automate regulatory reporting and patient data synthesis.