Analyst(s): Brad Shimmin
Publication Date: July 10, 2025
Oracle and AWS announced the general availability of Oracle Database@AWS, enabling enterprises to run Oracle Exadata Database Service and Oracle Autonomous Database on Oracle Cloud Infrastructure (OCI) running as first-party resources within AWS data centers. With availability in AWS’s US East (N. Virginia) and US West (Oregon) Regions and expansion plans to add 20 more, Oracle is off to a quick start with early adopters, including Fidelity, Nationwide, and SAS, already leveraging the integrated offering.
What is Covered in this Article:
- Oracle Database@AWS is now generally available in two AWS regions, with 20 more planned
- Enterprises can run Oracle Exadata Database Service and Oracle Autonomous Database on OCI directly within AWS
- Zero-ETL integration streamlines Oracle-AWS data connectivity for analytics, ML, and AI workloads
- The collaboration supports enterprise Oracle applications and simplifies cloud migration options for Oracle Exadata customers
- Fidelity, Nationwide, and SAS are among early adopters citing benefits in resilience and innovation
The News: Oracle and AWS have officially launched Oracle Database@AWS, a multicloud offering that lets businesses run Oracle Exadata Database Service and Oracle Autonomous Database on Oracle Cloud Infrastructure (OCI) directly inside AWS as first-party, native resources. This new offering is live in the US East (N. Virginia) and US West (Oregon) AWS Regions, with plans to expand into 20 more regions worldwide.
With this setup, customers can move their Oracle workloads to dedicated OCI infrastructure within AWS. It supports features like Oracle Real Application Clusters (RAC), the new Oracle Database 23ai with built-in AI Vector Search, and seamless data integration with AWS analytics tools. Companies like Fidelity Investments, Nationwide, and SAS are already using it to improve resilience, drive innovation, and tap into AI-powered capabilities.
Oracle and AWS Deliver Multicloud Synergies With Oracle Database@AWS Rollout
Analyst Take: The rollout of Oracle Database@AWS is an important milestone in the Oracle-AWS multicloud partnership. It lets businesses run important Oracle workloads on Oracle-managed infrastructure inside AWS without rebuilding their apps, migrating data, or creating complex points of integration. Customers get deep integration between OCI and AWS, including shared security rules, easier operations, and smooth data pipelines for connecting Oracle data with AWS analytics and AI tools. Early adoption by firms in tightly regulated industries shows real benefits and more cloud deployment options.
Better Integration Between Oracle and AWS
This joint offering creates a smooth experience across both OCI and AWS. It lets customers use Oracle services directly in their existing AWS Virtual Private Clouds (VPCs). Oracle handles the infrastructure and network links within AWS Availability Zones, so AWS security and operations stay in place. It also works with AWS tools like CloudWatch, CloudTrail, and Identity and Access Management (IAM), giving users a consistent feel across both platforms. Users can provision Oracle Database@AWS resources using AWS CloudFormation, the AWS Console, or other supported tools. Oracle-managed backups support Amazon Simple Storage Service (S3), OCI Object Storage, and more for flexible data protection. All of this helps reduce the complexity of managing multicloud environments. Today’s enterprise decision makers favor this kind of optionality, particularly in managing data assets. Any service offering a single pane of glass for provisioning, management, governance, and observability for that data across diverse deployment strata will ultimately win over siloed or complex multi-hybrid cloud capabilities.
Oracle Database 23ai and AI Vector Search Expand Application Potential
Oracle Database@AWS comes with the latest Oracle Database 23ai, which includes AI Vector Search for advanced semantic search across structured and unstructured data. This helps boost app intelligence when combined with AWS tools like Amazon SageMaker, Bedrock, and Redshift. Powered by Exadata X11M hardware, it speeds up AI workloads and gives easy access to both transactional and analytical data. It is built for scale in supporting data-heavy and AI-focused apps, all while staying inside AWS regions to support regional requirements, while also avoiding latency and data movement issues.
Migration Simplified With Compatibility and Tooling
The service supports well-known Oracle migration tools like Zero Downtime Migration (ZDM), Data Guard, RMAN, and Data Pump. This means customers can move their workloads with minimal changes. They keep full feature compatibility and do not have to rebuild their apps. Licensing is flexible too, with options like Bring Your Own License (BYOL) and Oracle Support Rewards, designed to help reduce costs. Apps like E-Business Suite, PeopleSoft, and JD Edwards EnterpriseOne are fully supported, giving companies a stable and efficient move to the cloud without abandoning Oracle data estate technologies.
Early Enterprise Adoption Shows Market Demand
Companies like Fidelity Investments, Nationwide, and SAS already cite the benefits of Oracle Database@AWS. Fidelity uses it to make sure critical apps stay resilient. Nationwide sees it as a key piece of their long-term cloud strategy. SAS values the fast, high-performance access it gives to apps and data in AWS. These early use cases show that the service delivers tangible value on day one, especially in industries with strict regulatory requirements.
Redefining the Idea of Hybrid/Multi-Cloud Computing
As more companies look for flexible multicloud setups with minimal disruption, Oracle Database@AWS is proving a solid option. Oracle’s approach in bringing OCI hardware into multiple hyperscaler partnerships stands as a significant differentiator for the company. This isn’t just a win for customers steeped in Oracle Database itself. Instead, it is a massive opportunity for companies to put OCI to work, especially in solving problems specific to today’s demand for generative and agentic AI capabilities.
Why is this so important? GenAI becomes truly useful only when infused with an organization’s data. That’s when it starts yielding contextually relevant and more accurate responses. Oracle Database@AWS does just that for Oracle Database users on AWS. Leveraging Oracle Database 23ai’s AI Vector Search, enterprises can combine their internal data with their favorite LLM via Amazon Bedrock and other AWS AI services. This enables Oracle users to readily build GenAI-driven applications such as customer support, fraud detection, real-time shopping offers, or defect detection, all supported by Oracle Database data running on Exadata, together with AWS’ AI services and models running in the same data center. Oracle’s redefinition of multicloud with Oracle Database running right within AWS, as well as within Azure and Google Cloud, expands the art of what’s possible for companies hoping to accelerate their own AI transformation.
What to Watch:
- Customers must manage cross-vendor coordination for support, billing, and incident reoffering
- Enterprises will evaluate latency and performance consistency across hybrid Oracle-AWS deployments
- Further customer adoption may hinge on expansion beyond the initial two AWS Regions
- Regulatory and data residency requirements could affect uptake in international regions
- Competitive responses from Microsoft and Google Cloud could shape multicloud strategies
See the full announcement on the general availability of Oracle Database@AWS on the Oracle website.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other insights from Futurum:
Oracle Adds Hammerspace to Strengthen AI Storage on OCI
Oracle Database Analyst Summit 2025: Oracle Raises Its Database Game
Accelerating Customer Innovation with Oracle Database and Google Cloud – Six Five Media
Author Information
Brad Shimmin is Vice President and Practice Lead, Data Intelligence, Analytics, & Infrastructure at Futurum. He provides strategic direction and market analysis to help organizations maximize their investments in data and analytics. Currently, Brad is focused on helping companies establish an AI-first data strategy.
With over 30 years of experience in enterprise IT and emerging technologies, Brad is a distinguished thought leader specializing in data, analytics, artificial intelligence, and enterprise software development. Consulting with Fortune 100 vendors, Brad specializes in industry thought leadership, worldwide market analysis, client development, and strategic advisory services.
Brad earned his Bachelor of Arts from Utah State University, where he graduated Magna Cum Laude. Brad lives in Longmeadow, MA, with his beautiful wife and far too many LEGO sets.
