Oracle Expands AI Database to 20 Regions

Oracle ($ORCL) and Amazon ($AMZN) are expanding the regions and functionalities of Oracle AI Database@AWS, bringing enterprise databases and generative artificial intelligence (AI) services closer together. This service operates the existing Oracle database within the Amazon Web Services (AWS) environment, connecting it with AI and analytics services such as Amazon Bedrock and SageMaker.

In its service documentation, Oracle stated that Oracle AI Database@AWS provides Exadata Database Service and Autonomous AI Database on Oracle Cloud Infrastructure (OCI) managed Exadata infrastructure within AWS data centers. This allows Oracle databases to be integrated with AI Vector Search, Amazon Bedrock, and Amazon SageMaker in the AWS environment.

The key focus of this expansion is to reduce the burden of migrating existing systems rather than introducing new product names. Companies using Oracle databases can consider moving workloads into AWS without significantly altering their applications.

Oracle has announced that it will reduce the burden of building separate data pipelines through zero-ETL integration, connecting data flows with AWS analytics, machine learning, and generative AI services. Zero-ETL minimizes the procedures of extracting, transforming, and loading data, allowing for a more direct connection between operational data and analytics/AI services.

AWS introduced high-performance networking capabilities that provide consistent sub-millisecond round-trip latency between Oracle Database@AWS and EC2 in an official blog post on April 20, 2026. This feature applies to new Oracle Database@AWS networks created after April 1, along with supported regions and availability zones.

Latency-sensitive online transaction processing, trading systems, and high-throughput workloads are primary targets. For enterprise databases, processing delays often translate directly into service quality and costs, making the quality of cloud interconnections a critical factor in decision-making.

Oracle's feature update documentation noted that support for Exadata Database Service on Exascale Infrastructure was added on August 12. On July 31, support for two physical zones in Singapore and Milan was introduced, and on July 20, integration with AWS Secrets Manager was added.

On June 10, 2026, Autonomous AI Database Serverless and a public offer based on the AWS Marketplace will be added. The serverless option allows for operations to adapt to usage changes rather than fixing capacity, serving as a means to reduce initial adoption burdens.

The regional expansion has also progressed rapidly. Oracle announced on its official blog on June 17, 2026, that Oracle AI Database@AWS has reached 20 AWS regions and plans to add two more regions based on that date.

In the same post, Oracle explained that hundreds of customers are operating core workloads on the service. The list of real-use regions on Oracle's service page includes the Asia-Pacific region of Seoul.

This service began general availability under the name Oracle Database@AWS on July 8, 2025. At that time, Oracle and AWS provided services in Northern Virginia and Oregon, citing Fidelity, Nationwide, and SAS as initial customer cases.

Currently branded as Oracle AI Database@AWS, the service emphasizes AI utilization and multi-cloud connectivity over database operations. For enterprises, it is now crucial not only to decide which cloud to place their databases in but also to determine how to connect that data with AI services at low latency.

For Korean companies, key considerations include cloud and AI infrastructure competition, data sovereignty, and operational complexity. Previously, we reported that Amazon Web Services' revenue increased by 37% to $42.2 billion (approximately 58 trillion won).

As AI demand drives cloud revenue, the question of which cloud to place existing enterprise databases in and how to connect them with AI services has become a critical issue for cost and operational strategy. We also reported that the competition for AI capital investment among U.S. big tech companies is driving cloud growth while putting pressure on cash flow.

However, not all features are provided in the same way across all regions. AWS's OCI multi-cloud interconnect was announced in public preview in the Northern Virginia region as of May 15, and Oracle has noted that some features and schedules may change.

The actual adoption will depend on regional availability, OCI tenancy conditions, AWS support scope, and internal Oracle operational capabilities. The current trend indicates that Oracle AI Database@AWS is moving towards lowering the barriers for AI utilization in enterprise databases by combining regional expansion, serverless options, secret management integration, and high-performance networking.

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