Oracle is now offering Oracle Database@Google Cloud to customers in India. With the availability of this service in India, customers can now access Oracle Exadata Database Service on Dedicated Infrastructure, Oracle Autonomous AI Database, and Oracle Autonomous AI Lakehouse on Oracle Cloud Infrastructure (OCI) in the Asia-South 1 (Mumbai) Google Cloud region. This enables customers to access Oracle AI Database services in their chosen Google Cloud region, helping ensure that their data remains in-region and addresses sovereignty and compliance requirements for regulated industries. In addition, Google Cloud and Oracle partners can resell Oracle Database@Google Cloud through the Google Cloud Marketplace and integrate it into their solutions. This enables customers to procure the solution through their trusted partners, simplifying contracting and allowing them to leverage existing Google Cloud commitments for a seamless purchasing experience.
Oracle Database@Google Cloud is designed to help customers combine their enterprise data in Oracle databases with Google Cloud’s analytics and AI services to improve decision-making and drive comprehensive business insights from BigQuery, Google’s Vertex AI platform, and Google’s Gemini models. In addition, it enables customers to migrate their mission-critical Oracle workloads to the industry-leading Oracle AI Database and modernize their applications using Google Cloud services.
“As enterprises in India increasingly adopt multicloud strategies, Oracle Database@Google Cloud provides the flexibility, performance, scale, and security they need,” said Shailender Kumar, senior vice president and regional managing director, Oracle India. “Customers in India can now integrate Oracle AI Database capabilities with Google Cloud’s AI and analytics tools and services to build new AI applications and innovate with speed and confidence.”
“Oracle Database@Google Cloud combines Google Cloud’s industry-leading AI and analytics with Oracle’s proven database services to help organizations across India accelerate IT modernization and innovate with confidence in a multicloud world,” said Sashi Sreedharan, managing director, Google Cloud India. “This launch empowers our customers to accelerate their on-premises migrations and modernize their applications to build the next generation of agentic AI solutions.”
Powerful Cloud Database Services
Oracle Database@Google Cloud gives customers easy access to Oracle AI Database services running on OCI and deployed in Google Cloud regions, enabling low-latency connectivity to applications running on Google Cloud and simple, secure integrations to Vertex AI and Google’s leading Gemini models. The first services available through Oracle Database@Google Cloud to customers in India are:
Oracle Exadata Database Service on Dedicated Infrastructure: Customers can use Oracle Exadata Database Service on Dedicated Infrastructure, which supports Oracle Exadata X11M and uniquely leverages Oracle Real Application Clusters (RAC), to help deliver significant performance, scalability, availability, and security benefits to the most demanding workloads across AI, analytics, and online transaction processing (OLTP).
Oracle Autonomous AI Database: Customers can use Oracle Autonomous AI Database to reduce administration and accelerate application development by leveraging Oracle’s convergence of multiple data types and workloads into a single platform. Oracle Autonomous AI Database is a fully managed platform that uses AI and ML to automate critical tasks such as patching, provisioning, monitoring, scaling, tuning, backups, and application indexing. It also delivers automatic threat detection and remediation, proven scale—supporting more than 48 billion queries per hour—and extensive built-in AI capabilities.
Oracle Autonomous AI Lakehouse: Customers can use Oracle Autonomous AI Lakehouse for enterprise-wide AI and analytics by combining the best of the open-source Apache Iceberg open data tables format with Oracle AI Database 26ai, Oracle Exadata, and Oracle Autonomous AI Database. It also integrates with other data platforms, including Google BigQuery and BigLake, enabling Google Cloud users to easily and securely apply Google’s Gemini models and Google’s Vertex AI platform to their data, regardless of where it’s stored.
