Compare Oracle Database@AWS vs. Oracle Spatial in 2026

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Description

Oracle Database@AWS allows users to seamlessly transfer their Oracle Databases, encompassing Oracle Exadata workloads, to either the Oracle Exadata Database Service on Dedicated Infrastructure or the Oracle Autonomous Database on Dedicated Exadata Infrastructure hosted within AWS. This transition is designed to require little to no modifications to existing databases or applications, all while ensuring complete compatibility with features and architecture, as well as maintaining high performance and availability. Users can create low-latency connections between Oracle Database@AWS and their applications running on AWS, including those on Amazon Elastic Compute Cloud (Amazon EC2). Additionally, Oracle Database@AWS connects directly with AWS Analytics services via zero-ETL, facilitating the integration of data from Oracle and AWS, which enhances analytics capabilities and machine learning initiatives. Moreover, it supports integration with AWS generative AI services to foster rapid innovation. This comprehensive solution provides a cohesive experience for the collaborative aspects of purchasing, management, operations, and support, streamlining processes for businesses. Ultimately, this integration empowers organizations to leverage cloud technologies more effectively, driving efficiency and growth.

Description

In alignment with Oracle's goal of enabling individuals to perceive data in innovative ways and uncover profound insights, Oracle Database now integrates features for machine learning, spatial analysis, and graph capabilities. With an Oracle Database license, users can access these leading-edge functionalities for both development and deployment in on-premise environments as well as Oracle Cloud Database Services. The inclusion of Oracle's spatial database within the converged database framework simplifies the initiation of location intelligence analytics and mapping services for developers and analysts alike. This functionality empowers Geographic Information System (GIS) professionals to effectively implement sophisticated geospatial applications. Furthermore, organizations benefit from the ability to handle various forms of geospatial data, execute numerous spatial analytical operations, and utilize dynamic map visualization tools through the spatial features available in both Oracle Autonomous Database and Oracle Database. Consequently, these enhancements not only streamline data management but also foster greater innovation within the realm of data analytics.