Oracle announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle AI Database@AWS, extending the database service to workloads of different sizes. Oracle and Amazon Web Services (AWS) also expanded their long-term agreement to support customer migration to Oracle AI Database@AWS.
The service allows customers to specify the compute and storage capacity they need while distributing databases across pooled storage servers. It also includes thin cloning, which allows customers to create database copies for development and testing without duplicating storage. The service is now generally available on Oracle AI Database@AWS.
Oracle AI Database@AWS has expanded to 22 AWS Regions across Asia Pacific, Europe and the Americas. The platform allows customers to run Oracle database workloads alongside AWS analytics and AI services. Oracle AI Database also includes Oracle AI Vector Search, which allows users to retrieve information based on meaning and context.
“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.”
The expanded agreement commits Oracle and AWS to continued investment in Oracle AI Database@AWS and to customer migration and adoption. The companies said the arrangement is intended to support customers running Oracle workloads alongside AWS AI and analytics services.
CJ Olive Young, a Korean beauty and wellness retailer operating more than 1,380 stores, is using Oracle AI Database@AWS to migrate its core workloads to the cloud. The company is integrating data across Oracle and AWS and using AWS services including Amazon Bedrock.
“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.”
Kobalt Music Group, an independent music publisher that handles administration for millions of songs, is using Oracle AI Database@AWS for its digital collection platform. The platform 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 alongside its AWS applications.
“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,” said Nuno Guerreiro, chief technology officer, Kobalt Music Group. “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.”
The Metropolitan Transport Authority (ATM) of Barcelona is the public agency responsible for the transportation system of the Barcelona Metropolitan Region. It coordinates, plans and manages the region’s integrated public transportation network, which records 1.2 million annual ticket validations.
“Oracle AI Database@AWS helps us deliver new and improved mobility services while enhancing our operational efficiency,” said Manuel Valdés, general manager, 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.”
Systems integrators are also supporting Oracle AI Database@AWS deployments. Eligible AWS Partner Network and Oracle Partner Network members can resell the service through AWS Channel Partner Private Offers, while qualified managed service providers can provide managed services for customers. Oracle Migration Accelerator provides funding for migration services and allows customers to offset migration costs.
Deloitte is supporting customers adopting Oracle AI Database@AWS through its Oracle and AWS 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, 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.”
Hitachi, Ltd., which has more than 30 years of experience with Oracle, is adding Oracle AI Database@AWS to its “modernization 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,” said Hidetaka Sasaki, president, Managed & Platform Services Division, Hitachi, Ltd. “Through our joint validation with Oracle and AWS, we have confirmed that Oracle AI Database@AWS meets the stringent requirements of mission-critical systems. 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.”
