Data Virtuality vs. Denodo vs. Oracle Database vs. Oracle Database@AWS Comparison Chart

The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies.

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.