Data Virtuality vs. Denodo vs. Oracle Big Data SQL Cloud Service vs. V Programming Language 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.

Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.