Oracle, AWS Collaborate to Accelerate Customer Migration

Oracle and AWS expanded Oracle AI Database@AWS to 22 regions, adding Exascale infrastructure and new migration opportunities for GSIs.

Written By
Jordan Smith
Jordan Smith
Aug 20, 2026
3 minute read
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As part of their strategic collaboration, Oracle and AWS are working to accelerate customer migration by making Oracle AI Database@AWS available in 22 AWS regions, offering expanded capabilities, and making Oracle Exadata Database Service on Exascale Infrastructure generally available.

Exascale infrastructure targets lower-cost migrations

The expansion and new capabilities 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.”

Oracle Exadata Database Service on Exascale Infrastructure enables customers to specify compute and storage capacity while spreading each database across pooled storage servers to ensure high performance and availability.

Accelerating customer migration projects

The new strategic collaboration agreement between Oracle and AWS means continued investment in Oracle AI Database@AWS will help accelerate customer migration and adoption.

Customers will get a faster, lower-risk path to running workloads on Oracle AI Database@AWS alongside AWS AI and analytics services they already use.

Enterprises across industries like financial services and retail are already using Oracle AI Database@AWS to migrate core workloads to the cloud. This enables the company to integrate data across Oracle and AWS, accelerate AI adoption, and simplify management and operations. 

The Metropolitan Transport Authority (ATM) of Barcelona, a public agency responsible for the transportation system of the Barcelona Metropolitan Region, also utilizes Oracle AI Database@AWS to improve operational efficiency.

“Oracle AI Database@AWS helps us deliver new and improved mobility services while enhancing our operational efficiency,” said Manuel Valdés, general manager, 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.”

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New integrations connect Oracle data with AWS AI

Oracle and AWS’ collaboration over the past year has yielded capabilities for Oracle AI Database@AWS to help customers simplify deployment, scale efficiency, and connect Oracle AI Database workloads to AWS analytics and AI services.

Among the capabilities are:

  • Oracle Autonomous AU Database Serverless: Customers can build and run fully managed databases without provisioning or managing infrastructure. 
  • Sub-200 microsecond application-to-database latency: Helps customers run latency-sensitive workloads, including OLTP systems, ERP applications, and AI-enabled operational applications, closer to the database.
  • Seamless integration with AWS services: Customers can unlock new insights and build AI-powered applications by applying AWS AI and analytics services, including Amazon Bedrock, Amazon Quick, and Amazon SageMaker directly into Oracle data.
  • Support for Platinum Oracle Maximum Availability Architecture (MAA): Helps customers improve resiliency, accelerate application performance, and reduce manual intervention for mission-critical Oracle AI Database@AWS workloads.

GSIs helping customers adopt Oracle AI Database@AWS

Global systems integrators (GSIs) are helping customers adopt the solution. Eligible AWS Partner Network and Oracle Partner Network members can resell Oracle AI Database@AWS through AWS Channel Partner Private Offers.

Qualified MSP partners can provide managed services on a customer’s behalf for Oracle AI Database@AWS, simplifying adoption.

Oracle Migration Accelerator helps fund migration services and enables customers to offset migration costs, while partners can scale up larger transformation projects.

Deloitte is an enterprise that has maintained strategic relationships with Oracle and AWS and has helped organizations leverage Oracle AI Database@AWS to accelerate cloud migrations, optimize operations, and unlock AI-powered insights.

“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 and go-to-market leader, Deloitte Consulting LLP.

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“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,” Rahamatullah added.

Jordan Smith

Jordan Smith is an enterprise technology and cybersecurity journalist with nearly a decade of experience covering B2B IT, federal technology, artificial intelligence, cybersecurity, cloud computing, and emerging digital trends. His reporting helps business and technology leaders understand how new technologies, security challenges, and infrastructure decisions affect modern organizations. Jordan has reported on enterprise and public-sector technology for TechnologyAdvice, HCLTech, MeriTalk, and Channel Insider. His background spans cybersecurity, cloud infrastructure, AI adoption, digital transformation, and federal IT initiatives, giving him a broad perspective on the tools, policies, and innovations shaping today’s technology landscape. Before joining TechnologyAdvice, Jordan served as a Senior Technology Reporter at MeriTalk, where he covered the federal IT space, and later worked as a US Regional Reporter and Copy Editor/Writer for HCLTech. His experience across reporting, copyediting, podcasting, and event moderation allows him to translate complex technical topics into clear, timely, and useful insights for business audiences. Jordan holds a Master of Arts in Journalism from the University of Nebraska–Lincoln and a Bachelor of Science in Criminal Justice and Psychology from Edgewood University. Through his work, he helps readers stay informed about cybersecurity developments, enterprise technology trends, and the business impact of emerging IT solutions.

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