Oracle Database@AWS
Accelerate cloud migration and innovation with Oracle Database services running on OCI in AWS. Quickly build and modernize applications with capabilities like Oracle Database 23ai AI Vector Search and Amazon Bedrock.
Join us on December 10 at 9 a.m. PT/noon ET to uncover how a multicloud approach can unlock the full potential of your data. Discover key strategies for optimizing resources, boosting resilience, and maximizing the value of your data and cloud investments.
Benefits of Oracle Database@AWS
Innovate with OCI Oracle Database services running in AWS
Build new cloud native apps using AWS services, such as Amazon Elastic Kubernetes Service and Amazon SageMaker, with Oracle Exadata Database Service.
Migrate Oracle Database workloads to AWS
Simplify moving Oracle Database workloads to AWS thanks to full compatibility with on-premises Oracle Exadata environments and Oracle Zero Downtime Migration.
Simplify management and operations
Leverage existing AWS and Oracle Database skills, automation, and processes together in a single cloud environment. Gain a unified experience between Oracle and AWS with collaborative support, purchasing, management, and operations.
How Oracle Database@AWS works
Accelerate innovation and supercharge database applications with Oracle Exadata Database Service running on OCI in AWS. Gain deeper and faster insights by combining capabilities such as Amazon SageMaker and Oracle Database 23ai. Run your Oracle Database workloads while maintaining full feature and architecture compatibility, performance, and availability as on-premises environments and benefit from a frictionless end-to-end experience across purchasing, operations, and collaborative support.
This diagram shows the setup for Oracle Database@AWS running on OCI within an AWS Region. Inside the AWS Region, AWS services, including Amazon EC2, Amazon SageMaker, Amazon S3, Amazon Bedrock, Amazon EKS, and Amazon Q, run on AWS-managed infrastructure. Next to the AWS services, Oracle Database@AWS runs on Oracle-managed infrastructure. Oracle Database@AWS uses cases
Innovate with AWS and OCI data and AI capabilities
Build new generative AI applications using Oracle Database capabilities, such as Oracle Database AI Vector Search, and the Amazon SageMaker and Amazon Bedrock foundation models.
This diagram shows AWS services connecting to Oracle Database@AWS in an AWS Region. The AWS services include Amazon EC2, Amazon SageMaker, Amazon S3, Amazon Bedrock, Amazon EKS, and Amazon Q. Migrate Oracle Database workloads to AWS
Implement a fast, cost-effective, and low-risk data center exit strategy without replatforming your applications and databases. Modernize with cloud native DevOps and Oracle Database.
This diagram illustrates how a workload could be migrated from an on-premises data center to an AWS data center. On the left is a box representing an on-premises data center, where customers run Oracle OLTP, Oracle data warehouses, applications, and analytics. On the right is the AWS Region/data center, where customers run lift-and-shift applications, modernized applications, and Oracle Database@AWS. The database migrates from on-premises to AWS using Oracle Zero Downtime Migration. Getting Started with Exadata Database Service on Oracle Database@AWS
Tammy Bednar, Senior Director of Product Management, OracleOracle Database@AWS is the most recent addition to Oracle’s multicloud portfolio, enabling applications in Amazon Web Services (AWS) Regions to use Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous Database on Dedicated Exadata Infrastructure running on Oracle Cloud Infrastructure (OCI) in AWS. AWS applications and services such as Amazon Kinesis and Amazon QuickSight can now have low-latency, native access to Oracle databases running on Exadata Cloud Infrastructure and take advantage of Oracle Database 23ai features like AI Vector Search.
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