Given the potential for AI to transform all areas of the business, many IT teams are looking to migrate Oracle-dependent workloads to Microsoft—enabling them to leverage leading cloud-based AI services and tools for business-critical applications and enterprise data. Oracle AI Database@Azure is purpose-built to help organizations accelerate migration and drive innovation. However, some organizations, for example those operating in highly regulated industries, have unique requirements related to operational control and resource isolation that require more flexibility.
That’s why I’m stoked to announce the launch of Oracle Autonomous AI Database on Dedicated Exadata Infrastructure on Oracle AI Database@Azure. Dedicated architecture provides exclusive cloud resources to host databases with greater control over maintenance scheduling and resource allocation, catering to enterprises with specialized regulatory, configuration, and integration requirements. In contrast, Autonomous AI Database on serverless architecture offers rapid provisioning, hands-off management, and elastic scaling using Oracle-managed infrastructure, making it ideal for organizations seeking agility and minimal administrative overhead. Together, these architectures are designed to address a broad spectrum of business and technical needs, providing organizations with the flexibility to choose the right balance between operational simplicity and advanced control.
Flexibility and choice
Oracle AI Database@Azure aims to give customers the same broad set of Oracle AI Database capabilities available on-premises including Exadata Database Service on Dedicated Infrastructure, Exadata Database Service on Exascale Infrastructure, Oracle Autonomous AI Database (serverless and dedicated infrastructure), Oracle Base Database Service, Oracle Autonomous AI Lakehouse, Oracle GoldenGate, and Oracle Database Zero Data Loss Autonomous Recovery Service. With Oracle AI Database@Azure, customers can easily and rapidly migrate their databases to Azure without rearchitecting their solution. In addition, customers can use Oracle Zero Downtime Migration to automate the migration process and minimize downtime and implement Oracle Maximum Availability Architecture (MAA) Silver and Gold reference architectures in Microsoft Azure. Finally, when migrating to Oracle AI Database@Azure, customers can continue to use their existing Oracle licenses in a bring-your-own-license (BYOL) model or use a license-included model.
Oracle AI Database@Azure is currently available in 33 Azure regions that include multiple availability zones (AZs)—allowing customers to create high-availability (HA) solutions that maximize resiliency and uptime.
Next steps
Combine the ease-of-use of Autonomous AI Database with the control, security, and performance of isolated Exadata infrastructure to build innovative, AI-powered apps on Azure. To learn more, check out the Oracle and Azure technical webinar series, join the Oracle AI Database@Azure community, visit Oracle.com/azure or reach out to your Oracle account team to discuss architecture options, migration planning, and how to get started.