United States — Oracle and Amazon Web Services (AWS) have expanded their long-term strategic collaboration as enterprises increasingly adopt Oracle AI Database@AWS for cloud migration, analytics and AI workloads.
The companies have signed an expanded strategic collaboration agreement focused on accelerating customer migration to Oracle AI Database@AWS, while continuing investment in the platform and its capabilities.
Oracle AI Database@AWS is now available in 22 AWS Regions across Asia Pacific, Europe and the Americas. Oracle said the expansion gives enterprises a lower-cost option for migrating Oracle databases to AWS and connecting them with AWS analytics and AI services.
The companies have also announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle AI Database@AWS. The service is designed to provide Exadata-class performance with pay-per-use economics, allowing organisations to select the compute and storage capacity they require.
The service distributes databases across pooled storage servers rather than requiring dedicated database and storage servers, which Oracle said can make Exadata economics more accessible to smaller workloads as well as multi-region deployments for high availability and disaster recovery.
It also includes instant thin cloning, allowing customers to create database copies for development and testing without duplicating storage.
Nathan Thomas, Senior Vice President for Product Management at Oracle, said, “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.”
“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,” he continued.
Ganapathy (G2) Krishnamoorthy, Vice President of Database Services at AWS, said, “The enterprise adoption over the past year reflects the value customers get when their Oracle AI Database workloads run on Oracle AI Database@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,” he continued.
Oracle AI Database is also designed to support AI workloads by bringing AI capabilities directly to business data. Its Oracle AI Vector Search capability allows customers to retrieve information based on meaning and context, while supporting generative and agentic AI applications without requiring data to be moved or duplicated.
Enterprises adopt Oracle AI Database@AWS
Several enterprises across different sectors are already using Oracle AI Database@AWS for cloud migration and AI-related workloads.
South Korean beauty and wellness retailer CJ Olive Young, which operates more than 1,380 stores, is using the platform to migrate core workloads to the cloud and integrate data across Oracle and AWS.
Wonho Park, Platform Engineering Team Lead at CJ Olive Young, said, “The availability of Oracle AI Database@AWS in South Korea offers an easy migration path to the cloud for our mission-critical Oracle workloads. 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.”
Independent music publisher Kobalt Music Group is using Oracle AI Database@AWS for its digital collection platform, which processes online and offline consumption data and distributes royalties to songwriters, publishers and rights holders.
Kobalt runs Oracle Exadata Database Service on Dedicated Infrastructure in AWS, which the company said provides low latency with its AWS applications alongside the performance and scalability required for its growing transaction volumes.
Nuno Guerreiro, Chief Technology Officer at Kobalt Music Group, said, “Technology plays a critical role in the management of complex digital music rights, ensuring fast and accurate payments, while delivering greater transparency and value to creators.”
“With Oracle AI Database@AWS, we can continue evolving our digital platform on a high-performance foundation that supports our growth and enables us to empower our clients with greater speed and efficiency,” he continued.
The Metropolitan Transport Authority (ATM) of Barcelona, which coordinates and manages the integrated public transport network serving the Barcelona Metropolitan Region, is also using Oracle AI Database@AWS.
“Oracle AI Database@AWS helps us deliver new and improved mobility services while enhancing our operational efficiency,” said Manuel Valdés, General Manager at Metropolitan Transport Authority (ATM) of Barcelona.
“By putting critical mobility data, advanced analytics, and AI to better use, we can make smarter decisions and continually improve the public transportation services people across the Barcelona metropolitan region rely on every day,” he continued.
Partner ecosystem expands
Oracle and AWS are also working with systems integrators and other partners to support adoption of Oracle AI Database@AWS.
Eligible members of the AWS Partner Network and Oracle Partner Network can resell Oracle AI Database@AWS through AWS Channel Partner Private Offers, while qualified managed service providers can offer managed services for the platform.
Oracle’s Migration Accelerator is also intended to help fund migration services and offset migration costs for customers, while enabling partners to support larger transformation projects.
Deloitte is supporting organisations with cloud migrations, operational optimisation and AI adoption through its Oracle and AWS technology practices.
“The growing momentum behind Oracle Database@AWS signals that enterprises are looking to their trusted relationships to help navigate complexity and drive innovation in the cloud,” said Kashif Rahamatullah, Principal, Multi-Alliances Go-to-Market Leader at Deloitte Consulting LLP.
“Through our deep alliances with Oracle and AWS, we combine our industry domain knowledge with mission-critical Oracle data and AWS AI and analytics to simplify modernization and accelerate business outcomes for our clients,” he continued.
Hitachi, which has more than 30 years of experience with Oracle, is adding Oracle AI Database@AWS to its “modernisation powered by Lumada” initiative.
“Many organizations are looking to migrate their mission-critical core systems to the cloud without compromising performance or reliability, while accelerating their adoption of AI. Through our joint validation with Oracle and AWS, we have confirmed that Oracle AI Database@AWS meets the stringent requirements of mission-critical systems,” said Hidetaka Sasaki, President, Managed & Platform Services Division at Hitachi, Ltd.
“By working with customers in the financial services sector, Hitachi will continue to help organizations modernize their systems and accelerate AI adoption through our collaboration with Oracle and AWS,” he continued.
