Oracle has announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle AI Database@AWS, alongside an expanded, long-term strategic collaboration with Amazon Web Services (AWS) to accelerate enterprise migration to the platform.
Oracle AI Database@AWS is now available across 22 AWS regions, including several across Asia Pacific, giving enterprises a lower-cost path to modernise Oracle workloads while integrating them with AWS analytics and AI services.
Regional enterprises already on the platform
In the region, CJ Olive Young, the Korean beauty and wellness retailer operating more than 1,380 stores, is among the enterprises running business-critical workloads on Oracle AI Database@AWS — an early signal of appetite among APAC retailers for cloud-native database modernisation without re-architecting existing systems.
- Exadata performance for organisations of any size, without the need to set up dedicated servers
- Application-to-database latency as low as 165 microseconds for latency-sensitive workloads
- Deeper AWS integration, with simplified data movement to Amazon Redshift and Amazon S3
- Oracle Autonomous AI Database Serverless, now generally available for fully managed deployments without infrastructure provisioning
Extending the Oracle-AWS partnership
Under the expanded agreement, Oracle and AWS have committed to continued investment in Oracle AI Database@AWS, aimed at giving customers a faster, lower-risk path to running mission-critical workloads on the platform without compromising performance.
The move reflects a broader trend of hyperscalers deepening database interoperability as enterprises resist re-architecting legacy systems purely to move to the cloud.
