Oracle and AWS launch first Oracle database@AWS site
Oracle and AWS have taken a major step forward with the launch of the first Oracle Database@AWS site, now in limited preview in AWS’s U.S. East region. This collaboration creates an environment where enterprise workloads can seamlessly transition to the cloud. Integrating Oracle Exadata and Oracle Real Application Cluster technologies with AWS’s analytics, machine learning, and AI tools, the solution gives businesses powerful capabilities to transform their data strategies.
What’s particularly exciting here is the dismantling of migration barriers. Traditionally, moving complex workloads to the cloud has been challenging, especially for enterprises managing massive datasets and intricate applications. Oracle Database@AWS addresses these challenges head-on, providing an adaptable, scalable, and efficient option for organizations ready to embrace cloud technology.
Oracle has also confirmed that this deployment currently operates within a single availability zone, but they have ambitious plans to roll out across multiple regions and availability zones once it achieves general availability next year. This phased approach lays a solid foundation while maintaining room for rapid scaling.
Strategic multicloud alliances with major cloud providers
In 2023 alone, Oracle has established significant partnerships with Google Cloud and Microsoft, showcasing its ability to work well with multiple hyperscalers.
Google Cloud has already introduced four Oracle database integration regions, setting the stage for more widespread adoption. Microsoft has gone even further, with nine Oracle Database@Azure sites already active and plans to expand into 24 additional regions over the coming year. These alliances are more than surface-level collaborations. They incorporate Oracle’s Exadata platform, streamlined database management, and robust data recovery solutions.
It’s worth noting Oracle’s long history with Microsoft. As Leo Leung, Oracle’s Group VP for Oracle Tech and OCI, explains, the two companies have collaborated for decades.
This shared history has laid a strong foundation for deeper integration and joint innovation. By partnering with multiple providers, Oracle makes sure enterprises can operate in the environments that make the most sense for their unique needs, avoiding vendor lock-in and boosting operational flexibility.
Growth potential through market leadership
Partnering with AWS is a strategic win for Oracle. AWS, the largest hyperscaler in the market, brings an expansive customer base and unmatched resources to the table. This collaboration is focused on leveraging AWS’s dominance to tap into new growth opportunities.
The initial offering focuses on Oracle’s general database solution, specifically Exadata, which is a staple for high-performance workloads. Oracle has indicated that future developments will be driven by customer feedback, tailoring the partnership’s evolution to meet the needs of enterprises across industries.
Leung pointed out the diversity of use cases that customers are likely to bring to this partnership. From streamlining operations to powering complex analytics, the AWS-Oracle alliance has the potential to push the boundaries of what enterprises can achieve in the cloud.
Growing momentum for multicloud and hybrid adoption
The shift toward multicloud and hybrid strategies is the new standard for organizations striving to stay competitive. With businesses increasingly relying on data to fuel AI, machine learning, and advanced analytics, the flexibility to operate across multiple cloud environments is essential.
Regulatory pressures on cloud competition have also played a role, prompting providers like Oracle and AWS to collaborate rather than compete. These partnerships make it easier for enterprises to adopt hybrid strategies, choosing where and how to manage their data to optimize performance, cost, and compliance.
Dave McCarthy, VP of Cloud and Edge Infrastructure Services at IDC, has highlighted the importance of strong data management as a foundation for generative AI adoption.
Hybrid solutions are especially well-suited for this, allowing organizations to process sensitive data on-premises while leveraging the scalability and advanced capabilities of the cloud for less sensitive workloads.
In this landscape, the Oracle and AWS collaboration stands out. By giving businesses the flexibility to decide how and where their data is stored and processed, it offers a practical, scalable pathway for leveraging next-generation technologies without being hampered by traditional limitations.
