Google Cloud and Oracle are expanding their partnership to integrate Oracle AI Database@Google Cloud with Google’s Agentic Data Cloud and Gemini Enterprise, spanning AI compute, infrastructure, enterprise data, and agentic AI. This collaboration aims to unify Oracle’s operational data with Google Cloud’s data and AI ecosystem, including BigQuery and Gemini, to enable autonomous, agentic workflows and break down data silos. Key foundational capabilities for agentic AI include the Remote MCP Server with Data API for secure SQL interaction with Oracle databases and Knowledge Catalog integration for unified metadata discovery and governance. Additionally, the Gemini connector for Oracle AI Database@Google Cloud, currently in preview, allows natural language queries directly within the Gemini app, grounded in governed Oracle data. The partnership also extends to connecting agentic workflows across the application layer, bringing Oracle data into Gemini Enterprise and embedding Gemini models natively within Oracle applications. To empower customer choice, Google Cloud and Oracle offer various data unification options: bi-directional Google Cloud borderless Lakehouse and Oracle AI Lakehouse for shared Apache Iceberg tables, sub-second CDC streaming with OCI GoldenGate for real-time data replication into BigQuery, and BigQuery query federation with Oracle for on-demand, in-place analytics. The global footprint of Oracle AI Database@Google Cloud is expanding with new regions and a planned FedRAMP High certification, ensuring secure and compliant operations. This partnership transforms enterprise data into an active, intelligent operational engine, enabling organizations to deploy autonomous AI agents at scale with flexibility and security. Customers can access Oracle AI Database@Google Cloud through the Google Cloud Marketplace for streamlined deployment, billing, and support.