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Oracle Database@AWS Takes Off and Expands with General Availability
Oracle Database@AWS is now available in Northern Virginia and Oregon AWS Regions, and it is set to expand to 20 more regions soon.
Key Highlights
- Oracle AWS unveiled GA of Oracle Database@AWS, enabling customers to run Oracle Exadata Database Service and Oracle Autonomous Database on dedicated infrastructure on OCI within AWS.
- Transition lets customers benefit from Oracle RAC and Oracle Database 23ai, complete with its embedded AI Vector capabilities.
- Oracle Database@AWS offers a unified experience across OCI and AWS, simplifying database administration, purchasing, and deployment.
- Oracle Database@AWS advances Oracle's multi-cloud strategy, solidifying its commitment to providing customers with flexibility and choice in where they run their most critical databases.
- The GA launch is a win-win for customers, as myriad innovations are now available on AWS to organizations of all sizes.
The News
Oracle and Amazon Web Services, Inc. (AWS) announced the general availability (GA) of Oracle Database@AWS. Customers can now run Oracle Exadata Database Service and Oracle Autonomous Database on dedicated infrastructure on Oracle Cloud Infrastructure (OCI) within AWS. Find out more by clicking here to read the press release.
Analyst Take
Oracle and AWS unveiled the GA of Oracle Database@AWS. This means customers can now run Oracle Exadata Database Service and Oracle Autonomous Database on dedicated Oracle Cloud Infrastructure (OCI) within AWS. Specifically, Oracle Database@AWS is available in the AWS U.S. East (N. Virginia) and U.S. West (Oregon) Regions, with plans to expand availability to 20 additional AWS Regions around the world.
Customers can now easily move their existing Oracle Database workloads to Oracle Database@AWS, which runs on Oracle Cloud Infrastructure (OCI) within AWS. This transition lets them immediately benefit from powerful features like Oracle Real Application Clusters (RAC) and the brand-new Oracle Database 23ai, complete with its embedded AI Vector capabilities.
I find that one of the biggest advantages is the zero-ETL (extract, transform, and load) integration. This means data effortlessly flows between Oracle Database services and AWS Analytics services, eliminating the need for complex, custom-built data pipelines. As a result, customers can seamlessly combine their Oracle data with a wide array of AWS services, including analytics, machine learning, and generative AI, to significantly enhance their applications. As a result, this new offer greatly expands the choices customers have for deploying their databases in the cloud, providing a powerful complement to existing options for running Oracle Database workloads within AWS.
How Oracle Database@AWS Streamlines IT Modernization and Innovation
Oracle Database@AWS offers a unified experience across OCI and AWS, simplifying database administration, purchasing, and deployment. Customers get fully integrated support from both Oracle and AWS, along with reference architectures and landing zones specifically designed for critical enterprise applications. This streamlined approach makes it easier to migrate Oracle databases to the cloud, with compatibility for tools like Oracle Zero Downtime Migration.
Workloads can be highly resilient and scalable, leveraging Oracle Real Application Clusters (RAC), multiple AWS Availability Zones, and Amazon S3 for backups and disaster recovery. Plus, procurement is simplified through the AWS Marketplace, allowing customers to use their existing AWS commitments and Oracle license benefits, including Bring Your Own License (BYOL) and Oracle Support Rewards (OSR).
Customers can also build new, scalable microservices-based applications by combining AWS services like Amazon EC2, Amazon EKS, and Amazon ECS with advanced Oracle Database features such as AI Vector Search from Oracle Database 23ai. This enhances application intelligence and accelerates the development of new features by enabling searches of documents, images, and relational data based on conceptual content. Management is familiar and straightforward using tools like the AWS Management Console, AWS Command Line Interface, APIs, and monitoring.
This prepares data for use with advanced analytics, machine learning, and generative AI services, and integrates seamlessly with AWS services including AWS Identity and Access Management (IAM), AWS CloudFormation, Amazon CloudWatch, Amazon VPC Lattice, and Amazon EventBridge. Furthermore, Oracle Database@AWS supports popular Oracle applications like Oracle E-Business Suite, PeopleSoft, JD Edwards EnterpriseOne, Oracle Enterprise Performance Management, and Oracle Retail Applications.
I find that organizations are increasingly choosing Oracle Autonomous Database on AWS to tackle modern data management challenges, especially for AI-driven applications, hybrid environments, and operational efficiency. While you can run Oracle databases on AWS in various ways, Oracle Database@AWS specifically unlocks powerful features unique to Oracle's engineered systems (Exadata) and its Autonomous Database offering.
This integration lets organizations tap into Oracle Database 23ai's cutting-edge innovations, like AI Vector Search, to build smarter applications. This allows for semantic searches, powers Retrieval Augmented Generation (RAG) for Large Language Models (LLMs with private data), and seamlessly embeds AI into existing data without the latency of separate vector databases. Developers also benefit from JSON Relational Duality for flexible data modeling and JavaScript Stored Procedures for efficient, data-intensive application logic, all contributing to faster development and improved performance.
The "Autonomous" aspect of Oracle Database@AWS brings unmatched automation and operational simplicity. Features like Automatic Indexing, Automatic Materialized Views, and Automatic Columnar Caching leverage machine learning to continuously optimize database performance, significantly reducing the workload on DBAs. This automation not only lowers operational costs but also ensures consistent performance and frees up valuable DBA time for more strategic initiatives.
Furthermore, Automatic AI Vector Acceleration in Storage highlights the deep integration with Oracle's Exadata infrastructure, providing superior performance for AI vector search operations that would be challenging to achieve with generic cloud instances.
For extreme demands, Oracle Autonomous Database on AWS delivers exceptional scalability, resilience, and cost efficiency. Organizations can seamlessly scale CPU and memory online without downtime, ensuring optimal performance during peak loads and cost savings during quieter periods. Unlimited Oracle Multitenant is a game-changer for large enterprises, enabling massive database consolidation, rapid provisioning, enhanced isolation, and simplified patching. For mission-critical, globally distributed applications, the Distributed Database with RAFT replication offers zero data loss and sub-second failover, ensuring continuous availability and active-active operations across more than three nodes.
Finally, the fault-tolerant In-Memory Column Store provides continuous, high-performance analytics even in the event of an instance failure. By choosing Oracle Autonomous Database on AWS, organizations can maximize their existing AWS investments while gaining access to specialized, deeply integrated Oracle capabilities that drive superior performance, automation, and advanced features for their evolving data needs.
Oracle Database@AWS GA Further Boosts Oracle Multi-Cloud Strategy
I anticipate that the GA of Oracle Database@AWS significantly advances Oracle's multi-cloud strategy by solidifying its commitment to providing customers with unprecedented flexibility and choice in where they run their most critical databases. Instead of forcing customers into a single cloud ecosystem, this offering, alongside similar partnerships with Microsoft Azure and Google Cloud, enables organizations to leverage the best of OCI's high-performance Oracle database services (like Exadata and Autonomous Database) directly within the AWS cloud environment.
This strategic move addresses the reality of enterprise IT, where multi-cloud adoption is prevalent, by eliminating data gravity issues and complex ETL processes between applications in AWS and Oracle databases, ultimately facilitating seamless integration, simplified management, and accelerated innovation across diverse cloud footprints.
Looking Ahead
Overall, I believe that organizations running Oracle Autonomous Database on AWS benefit from exclusive cloud functionality such as Oracle Database 23ai, online CPU and Memory scaling, unlimited Oracle Multitenant, Automatic Indexing, Automatic Materialized Views, Automatic Columnar Caching, Automatic AI Vector Acceleration in Storage, Distributed Database with RAFT replication and more than three nodes - and fault-tolerant In-Memory Column Store. Clearly, this GA launch is a win-win for customers, as these myriad numbers of innovations are now available on AWS to organizations of all sizes.
Today Oracle Database@AWS is available in the AWS U.S. East (N. Virginia) and U.S. West (Oregon) Regions, leveraging AWS’s extensive cloud infrastructure. Additionally, the Oracle Database@AWS offering is planned to be available in 20 more AWS Regions, including: Canada (Central), Frankfurt, Hyderabad, Ireland, London, Melbourne, Milan, Mumbai, Osaka, Paris, São Paulo, Seoul, Singapore, Spain, Stockholm, Sydney, Tokyo, U.S. East (Ohio), U.S. West (N. California) and Zurich.
The expansion of Oracle Database@AWS to numerous AWS Regions, starting with Northern Virginia and Oregon and planning for 20 more globally, I expect can offer improved business outcomes for customers and developers. This widespread availability allows organizations to deploy their Oracle databases closer to their existing AWS applications and users, dramatically reducing latency and improving application performance. It also supports data residency and compliance requirements by enabling data to stay within specific geographical boundaries.
Furthermore, this broad regional presence enhances disaster recovery and business continuity strategies, as customers can architect highly available solutions across multiple AWS Availability Zones and diverse geographical regions. For developers, this means faster development cycles and the ability to integrate cutting-edge Oracle Database 23ai features, like AI Vector Search, directly with AWS's extensive analytics, machine learning, and generative AI services, unlocking new possibilities for intelligent applications and accelerating innovation.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.