Enterprises are seeking more control over where their cloud data is stored to address latency, internal governance policies, and jurisdiction-specific requirements.
Oracle and AWS are responding by expanding the regional availability of Oracle AI Database@AWS to 22 regions across Asia Pacific, Europe, and the Americas. As part of the expanded collaboration, Oracle Exadata Database Service on Exascale Infrastructure is now generally available through Oracle AI Database@AWS.
Together, these developments and new capabilities give customers a lower-cost path to migrate their Oracle databases to Oracle AI Database@AWS and integrate them with AWS analytics and AI services.
Greater availability at a lower cost
One potential benefit is Exascale Infrastructure’s pay-per-use model, which lets customers select the compute and storage capacity they need without provisioning dedicated database and storage servers. Oracle says this can make Exadata practical for smaller and variable workloads.
For reference, to host the Exadata infrastructure on-premise, an enterprise buyer would require a minimum monthly subscription of $4,540.00 with a 4-year commitment. This cost excludes licensing fees and other additional costs.
With the ExaDB-XS platform, customers can choose from short-term contracts like 1 or 12 months.
Furthermore, customers can pay both for compute and storage separately from the AWS Marketplace, with as little as $0.336 per ECPU (Elastic Compute Unit) per hour. This new pricing is more different in contrast from the earlier model.
Beyond pricing flexibility, the additional regional options may help enterprises address latency and data-location requirements. Regional availability alone, however, does not guarantee regulatory compliance or data sovereignty.
Wonho Park, platform engineering team lead at Korean beauty and wellness retailer CJ Olive Young, said in Oracle’s announcement: “The availability of Oracle AI Database@AWS in South Korea offers an easy migration path to the cloud for our mission-critical Oracle workloads.”
With both the pricing flexibility and the various regional availability options, Oracle has made it easier for on-premises customers to migrate to the cloud, while still getting the same enterprise-grade service.
How enterprises can respond
Apart from AWS, the company also already provided similar services on cloud platforms like Azure and Google Cloud. This means that enterprises have several multi-cloud options for both their public and private cloud needs.
Oracle isn’t the only big data company that has expanded the data residency regions for its customers.
In March 2026, GitHub announced that they would expand the EU data residency region to also include Norway and Switzerland.
In addition to the low latency gains, this push to offer more regional options is a direct response to the regulatory environment in which companies that host company data operate.
As enterprises seek out suppliers for their data storage needs, they need to consider the location options options as well. Oracle’s integration with AWS has provided flexibility in both price and location that enterprises using its database software can consider while planning their data migration options.
Read more: Oracle’s expanding cloud ambitions also raise questions about capacity and contract terms, as its AI data center funding strategy puts OCI delivery timelines under scrutiny.