Oracle said that customers can now access Oracle Database@AWS in limited preview. The limited availability landed just a few weeks after Oracle and AWS announced their partnership.

With the limited preview, enterprises can run Oracle Exadata Database Service on Oracle Cloud Infrastructure (OCI) in AWS. Availability starts in the AWS US East Region with an integrated and native experience. Oracle and AWS announced their partnership in September and is likely to have a significant presence at AWS re:Invent this week.

As previously noted, Oracle Database@AWS enables the database giant's customers to migrate Oracle workloads to the cloud with a low latency network connection to AWS applications. Oracle operates and manages the Oracle Exadata Database Service.

Constellation Research analyst Holger Mueller said:

"Oracle and AWS waste no time to make AWS Cloud the third public cloud to give customer the choice to build their Next Generation Applications on AWS with their data being in Oracle Database. The BYOL option may move some Oracle customers from on-premises to the cloud in 2025, faster than expected."

CTO Larry Ellison and AWS CEO Matt Garmin have touted the partnership. For the companies, which have been cloud combatants, tighter integration is a win for many joint customers.

In September, State Street CTO Andy Zitney said the deal will be a win for his company, a big Oracle Exadata and AWS customer. "we were starting down the journey of starting to integrate the clouds, and this comes right at the perfect time to expedite that and make it easier for us," said Zitney. "It will help us accelerate our digital transformation."

Key items about Oracle Database@AWS include:

  • Simplified billing and administration as well as unified customer support.
  • Data connections that provide insights without building data pipelines.
  • Flexible options to migrate.
  • A procurement experience via AWS Marketplace. Customer usage of Oracle Database@AWS qualifies for existing AWS commitments and uses Oracle license benefits.
  • Reference architectures, landing zones and best practices.
  • The ability to unify data across AWS and AWS for generative AI applications.