Oracle has announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle AI Database@AWS, bringing Exadata-class performance and pay-per-use economics to Oracle AI Database workloads of any scale. Oracle and AWS also signed an expanded, long-term strategic collaboration agreement focused on accelerating customer migration.
Oracle Exadata Database Service on Exascale Infrastructure now generally available on AWS.
Oracle AI Database@AWS expanded to 22 AWS Regions globally.
Delivers sub-200 microsecond application-to-database latency.
Supports zero-ETL integration with Amazon Redshift and backups to Amazon S3.
Customers include CJ Olive Young, Kobalt Music Group, and ATM Barcelona.
Oracle Autonomous AI Database Serverless now generally available.
Oracle Exadata Database Service on Exascale Infrastructure allows customers to specify the compute and storage capacity they need, while spreading every database across pooled storage servers for high performance and availability, eliminating the need to provision dedicated database and storage servers. That makes Exadata economics practical for a wider range of workloads, from smaller Oracle databases to deploying in multiple regions for high availability and disaster recovery. It also adds instant thin cloning for rapid database copies for development and testing.
Just one year after general availability, Oracle AI Database@AWS has reached global scale with 22 AWS Regions available across Asia Pacific, Europe, and the Americas. Expanded capabilities include Oracle Autonomous AI Database Serverless, sub-200 microsecond application-to-database latency, seamless integration with AWS services including Amazon Bedrock and Amazon SageMaker, zero-ETL integration with Amazon Redshift, Oracle-managed backups to Amazon S3, and support for Platinum Oracle Maximum Availability Architecture.
"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."
"The enterprise adoption over the past year reflects the value customers get when their Oracle AI Database workloads run on Oracle AI Database@AWS," said Ganapathy (G2) Krishnamoorthy, vice president, database services, AWS. "With the full breadth of AWS analytics and AI services, available right where their data lives, customers of any size can modernize applications faster, unlock new insights, and build AI-powered applications on the data that runs their business."
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