Oracle and Google announced Oracle Database@Google Cloud launched across four Google Cloud regions: Northern Virginia, Salt Lake City, London, and Frankfurt, with plans to rapidly expand to more regions in North America, EMEA, APAC, and LATAM.

The service offers Oracle Exadata Service and Oracle Autonomous Database on Google Cloud, enabling organizations to run mission-critical database workloads with improved performance, reduced latency, and streamlined management.

This is part of Oracle and Google Cloud’s extended multi-cloud strategy, designed to meet customer needs by integrating Oracle’s robust database services with Google’s leading cloud infrastructure and AI capabilities.

What Is Oracle Database@Google Cloud?

Oracle Database@Google Cloud is a fully managed multi-cloud service that allows businesses to run Oracle’s high-performance database offerings, such as Oracle Exadata Service and Oracle Autonomous Database, natively within Google Cloud infrastructure. The offering brings together the best of both platforms, enabling customers to deploy and manage mission-critical Oracle Database workloads in Google Cloud data centers while utilizing Google Cloud’s AI and data analytics services.

Key Features

1. Oracle Exadata and Autonomous Database:
   • OCI-powered services bring the full capabilities of Oracle’s high-performance database systems to Google Cloud, allowing customers to run their database workloads efficiently with the same tools and optimizations found in Oracle’s cloud.
   • Oracle Exadata delivers industry-leading scalability, performance, and availability for enterprise applications, while Autonomous Database automates database management tasks, offering self-tuning, patching, and backups.
2. Native Multicloud Integration:
   • Oracle Database@Google Cloud provides seamless integration, enabling native interoperability between Oracle’s and Google Cloud’s environments.
   • Users can easily connect Oracle Database services with Google Cloud services like Google Kubernetes Engine (GKE), BigQuery, and Vertex AI, facilitating the development of cloud-native applications that combine best-in-class data and AI capabilities from both platforms.
3. Low-Latency, Secure Interconnect:
   • A secure, low-latency interconnect between OCI and Google Cloud allows for high-speed data transfer between the two environments without cross-cloud data transfer charges.
4. Unified Management and Security:
   • Customers can manage Oracle databases using Google Cloud’s interfaces, including the Google Cloud Console, CLIs, APIs, and monitoring tools, making it an easy transition for teams already using Google Cloud to provision and monitor Oracle Database services without needing specialized Oracle tools.
   • Integrated IAM simplifies the security of multi-cloud workloads, allowing for consistent policies and role management across both Oracle and Google Cloud infrastructures.
5. Comprehensive Data and AI Integration:
   • Oracle Database@Google Cloud allows customers to leverage Google Cloud’s AI tools, such as Vertex AI and Gemini foundation models, alongside Oracle Database 23ai capabilities, enabling the creation of advanced AI applications.
   • The integration supports multiple data types—relational, JSON, vector, spatial, and more—allowing for sophisticated analytics, fraud detection, and data-driven decision-making.
6. Support for Oracle Linux:
   • Customers can deploy and run applications on Oracle Linux in Google Cloud, further enhancing compatibility with on-premises Oracle deployments and easing the migration of existing workloads to the cloud.
7. Simplified Migration:
   • For businesses running on-premises Oracle Databases, Oracle Database@Google Cloud offers a seamless path to migrate their mission-critical workloads without the need for rearchitecting or refactoring. This is facilitated by tools like Oracle Zero Downtime Migration and compatibility with Oracle Real Application Clusters (RAC), ensuring high availability and reliability.

Key Benefits

• Multi-cloud Flexibility: Enterprises can choose where to run their workloads—whether on Oracle Cloud, Google Cloud, or a combination of both—depending on what works best for their business needs, while maintaining a unified data view across environments.
• Improved Performance: With Oracle Database running natively in Google Cloud data centers, customers will see reduced latency, improved application response times, and high performance for mission-critical workloads.
• AI and Data Innovation: The combination of Google Cloud’s AI platforms with Oracle’s database capabilities enables rapid innovation in AI-driven applications, delivering enhanced customer experiences, operational efficiencies, and actionable insights.
• Cost Efficiency: By consolidating Oracle Database workloads in Google Cloud, customers reduce the complexity of managing isolated instances across different clouds, streamlining operations and lowering costs.

Analysis

The partnership between Oracle and Google is a recognition of the growing importance of multi-cloud strategies among enterprise customers, enabling those customers to seamlessly integrate best-in-class services from both providers.

The launch of Oracle Database@Google Cloud not only addresses performance and latency concerns for enterprises but also simplifies the modernization and migration of legacy workloads to the cloud. By providing native integration with Google Cloud, customers can maximize the use of both cloud environments, ensuring flexibility and scalability for future growth.

Oracle Database@Google Cloud empowers businesses to modernize their database infrastructure and accelerate innovation by leveraging the best of Oracle’s database technologies and Google Cloud’s AI and cloud-native services.