Oracle Database@AWS vs. Oracle Real Application Clusters (RAC) vs. Oracle Spatial vs. Vectorize Comparison Chart

Oracle Database@AWS enables customers to migrate Oracle Databases, including Oracle Exadata workloads, to Oracle Exadata Database Service on Dedicated Infrastructure or Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS. This migration requires minimal to no database or application changes while maintaining full feature and architecture compatibility, performance, and availability. Customers can establish low-latency connections between Oracle Database@AWS and applications deployed in AWS, including on Amazon Elastic Compute Cloud (Amazon EC2). Oracle Database@AWS integrates directly with AWS Analytics services through zero-ETL to unify data across Oracle and AWS, enabling analytics and machine learning. Further, integration with AWS generative AI services is supported to accelerate innovation. It offers a unified experience for collaborative purchasing, management, operations, and support.

In keeping with Oracle's mission to help people see data in new ways, discover insights, unlock endless possibilities, Oracle Database now includes machine learning, spatial and graph features. If you have an Oracle Database license, you can use all the industry-leading machine learning, spatial and graph capabilities for development and deployment purposes on-premise and in Oracle Cloud Database Services. Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database.