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Oracle and Amazon Web Services are pushing even more into their long-term teamwork around Oracle AI Database@AWS, as more enterprises shift key Oracle workloads into AWS settings, bit by bit and with that, you can see the priority rising.
The two companies have extended their strategic agreement to support faster customer migrations, while Oracle AI Database@AWS has expanded to 22 AWS Regions. New capabilities are also aimed at making deployments easier and connecting Oracle workloads with AWS analytics and AI services.
Oracle has also made Exadata Database Service on Exascale Infrastructure generally available for Oracle AI Database@AWS. The setup lets customers choose the compute and storage capacity they need while using pooled infrastructure, bringing Exadata performance to a wider range of workloads without requiring dedicated database and storage servers. It also supports thin cloning for development and testing.
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On the AI side, Oracle AI Database lets companies apply generative and agent-based AI to business data without moving or replicating it. AWS services including Amazon Bedrock and Amazon SageMaker can also work with Oracle data.
The platform now supports Autonomous AI Database Serverless, latency as low as 165 microseconds, zero-ETL integration with Amazon Redshift, Oracle managed backups to Amazon S3, and Platinum MAA support.
Companies including CJ Olive Young and Barcelona’s Metropolitan Transport Authority are already using the platform
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