Data Virtuality vs. Denodo vs. Python vs. ReGraph 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.

Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine.