Oracle announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle AI Database@AWS, bringing Exadata-class performance and pay-per-use economics to Oracle AI Database workloads of any scale. Oracle and Amazon Web Services (AWS) also signed an expanded, long-term strategic collaboration agreement focused on accelerating customer migration to Oracle AI Database@AWS. Together, these developments build on strong momentum for Oracle AI Database@AWS, which expanded to 22 AWS Regions and added new capabilities that give enterprises a lower-cost path to migrate Oracle databases and integrate them with AWS analytics and AI services.
“Just one year after general availability, Oracle AI Database@AWS has reached global scale, with customers running business-critical workloads, and 22 AWS Regions available across Asia Pacific, Europe, and the Americas,” said Nathan Thomas, senior vice president, product management, Oracle. “This momentum demonstrates that enterprises want a simpler, lower-cost path to modernize their most important Oracle workloads within AWS environments. With the global reach and innovative new services we have made available over the last year, we are delivering that path and enabling more and more customers to put AI to work on live business data and build new applications without re-architecting or compromising performance.”
“The enterprise adoption over the past year reflects the value customers get when their Oracle AI Database workloads run on Oracle AI Database@AWS,” said Ganapathy (G2) Krishnamoorthy, vice president, database services, AWS. “With the full breadth of AWS analytics and AI services, available right where their data lives, customers of any size can modernize applications faster, unlock new insights, and build AI-powered applications on the data that runs their business.”
Exadata Performance, Now Within Reach of Any Enterprise
Oracle Exadata Database Service on Exascale Infrastructure allows customers to specify the compute and storage capacity they need, while spreading every database across pooled storage servers for high performance and availability, eliminating the need to provision dedicated database and storage servers. That makes Exadata economics practical for a wider range of workloads, from smaller Oracle databases to deploying in multiple regions for high availability and disaster recovery. It also adds instant thin cloning, so customers can rapidly spin up database copies for development and testing with Exadata performance, without duplicating storage.
This more accessible Exadata foundation also supports a broader range of workloads, including AI. Oracle AI Database brings AI directly to customers’ most valuable business data, enabling generative and agentic AI without moving or duplicating data. With Oracle AI Vector Search, customers can find and retrieve relevant information from that data based on meaning and context.
Expanded Collaboration Agreement Accelerates Customer Migration
Under the new long-term strategic collaboration agreement, Oracle and AWS commit to continued investment in Oracle AI Database@AWS and to accelerating customer migration and adoption. For customers, this provides a faster, lower-risk path to run their most important workloads on Oracle AI Database@AWS alongside the AWS AI and analytics services they already use.
Leading Global Enterprises Choose Oracle AI Database@AWS
Enterprises across industries, including highly regulated sectors such as financial services and transportation, are already using Oracle AI Database@AWS to migrate critical workloads and put AI to work on the data that runs their business.
CJ Olive Young, a leading Korean beauty and wellness retailer operating over 1,380 stores, is leveraging Oracle AI Database@AWS to migrate its core workloads to the cloud. As a result, CJ Olive Young can integrate data across Oracle and AWS, accelerate AI adoption, and simplify management and operations.
“The availability of Oracle AI Database@AWS in South Korea offers an easy migration path to the cloud for our mission-critical Oracle workloads,” said Wonho Park, platform engineering team lead, CJ Olive Young. “We expect the seamless integration with AWS’s advanced AI and analytics services, such as Amazon Bedrock, to accelerate our AI innovation, reduce time-to-insight, and deliver measurable business outcomes.”
