Oracle Database@AWS arrives in limited preview, bridging two cloud giants

Oracle Database@AWS has entered limited preview in the Amazon Web Services (AWS) US East Region, marking a major milestone in cloud interoperability. This service empowers customers to run Oracle Exadata Database Service on Oracle Cloud Infrastructure (OCI) directly within AWS environments, addressing the growing demand for cross-cloud flexibility and performance.

Earlier this year, Oracle announced the initiative, and it now enables organizations to migrate Oracle workloads, including Exadata and Oracle Real Application Clusters (RAC), to the cloud while minimizing latency. Businesses can integrate Oracle’s database solutions with AWS services, such as Amazon Elastic Compute Cloud, AWS Analytics, and AI tools, creating a unified experience.

“Organizations couldn’t replicate Oracle Database’s performance on Exadata within AWS until now,” said Dave McCarthy, research vice president at IDC. “Oracle Database@AWS eliminates that challenge, offering a seamless migration path for mission-critical workloads, simplifying operations, and accelerating modernization.”

Karan Batta, Oracle’s senior vice president of Cloud Infrastructure, highlighted the partnership’s transformative potential. He stated, “This collaboration enables customers to combine Oracle’s data services with AWS’ ecosystem for a multi-cloud experience. With Oracle Exadata now operating in the AWS US East Region, we’re meeting significant demand.”

Oracle plans to expand the limited preview to additional regions in the coming months, with a full rollout set for 2025. This initiative builds on Oracle’s strategy of partnering with leading cloud providers. For instance, Oracle Database@Azure has been available since late 2023, while Oracle and Google Cloud launched a joint platform earlier this year, simplifying workload integration across their services.

With Oracle Database@AWS, enterprises gain seamless access to advanced data capabilities, allowing them to leverage powerful tools and optimize their operations while staying at the forefront of AI and analytics.