Oracle AI Database@AWS Expands to 22 AWS Regions in 2026

Enterprise IT leaders face a persistent challenge: how to modernize mission-critical Oracle workloads in the cloud without rearchitecting applications, sacrificing performance, or losing access to native AI and analytics services. Oracle and AWS are addressing this challenge directly with an expanded strategic collaboration around Oracle AI Database@AWS, giving CIOs and CTOs a lower-risk migration path that combines Exadata-class performance with the full AWS AI and analytics stack.

Oracle AI Database@AWS is now available in 22 AWS Regions across Asia Pacific, Europe, and the Americas, with new Exadata Exascale infrastructure generally available.

What was announced

On August 13, 2026, Oracle and AWS announced an expanded long-term strategic collaboration agreement focused on accelerating customer migration to Oracle AI Database@AWS. Alongside this agreement, Oracle declared the general availability of Oracle Exadata Database Service on Exascale Infrastructure, extending Exadata performance and pay-per-use economics to Oracle AI Database workloads of any scale.

Just one year after general availability, Oracle AI Database@AWS has reached 22 AWS Regions worldwide. Enterprises such as CJ Olive Young, Kobalt Music Group, and the Metropolitan Transport Authority (ATM) of Barcelona are already running business-critical workloads on the service, and global systems integrators including Deloitte and Hitachi are helping customers accelerate adoption.

Just one year after general availability, Oracle AI Database@AWS has reached global scale, with customers running business-critical workloads across 22 AWS Regions in Asia Pacific, Europe, and the Americas

Why this matters

For CIOs, CISOs, and IT directors responsible for legacy Oracle estates, the expanded collaboration removes several long-standing modernization barriers. Oracle databases can now run natively in AWS environments, integrated with services such as Amazon Bedrock, Amazon SageMaker, Amazon Redshift, Amazon S3, Amazon CloudWatch, and Amazon EventBridge, without complex ETL pipelines or data duplication.

For procurement and finance leaders, the new Exadata Exascale model brings pay-per-use economics that scale down to smaller Oracle databases, making high-performance Exadata practical for multi-region high availability and disaster recovery scenarios. Combined with Oracle Migration Accelerator funding and AWS Channel Partner Private Offers, the total cost and risk of migration is significantly reduced.

Technical details

• 22 AWS Regions: Oracle AI Database@AWS is live across Asia Pacific, Europe, and the Americas.
• Exadata Exascale Infrastructure: generally available, with pooled storage servers, thin cloning, and workload-specified compute and storage capacity.
• Oracle Autonomous AI Database Serverless: generally available, fully managed with no infrastructure provisioning required.
• Sub-200 microsecond latency: application-to-database round-trip latency as low as 165 microseconds using AWS EC2 placement groups.
• AWS integrations: zero-ETL with Amazon Redshift, Oracle-managed backups to Amazon S3, monitoring via Amazon CloudWatch, event-driven applications via Amazon EventBridge.
• AI-native capabilities: Oracle AI Vector Search for semantic retrieval and integration with Amazon Bedrock and Amazon SageMaker.
• Platinum Oracle MAA support: improves resiliency and reduces manual intervention for mission-critical workloads.

Softprom and Amazon Web Services

Softprom is the official partner of Amazon Web Services. Our team helps enterprises evaluate, plan, and execute Oracle-to-AWS migration projects, combining licensing expertise with technical enablement for hybrid and cloud-native workloads.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.