Python vs. Red Hat JBoss Data Virtualization vs. Ruby vs. Scala Comparison Chart

Red Hat JBoss Data Virtualization is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse systems, such as multiple databases, XML files, and Hadoop systems, appear as a set of tables in a local database. Provides standards-based read/write access to heterogeneous data stores in real-time. Speeds application development and integration by simplifying access to distributed data. Integrate and transform data semantics based on data consumer requirements. Provides centralized access control, and auditing through robust security infrastructure. Turn fragmented data into actionable information at the speed your business needs. Red Hat offers support and maintenance over stated time periods for the major versions of JBoss products.

Scala combines object-oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries. The Scala compiler is smart about static types. Most of the time, you need not tell it the types of your variables. Instead, its powerful type inference will figure them out for you. In Scala, case classes are used to represent structural data types. They implicitly equip the class with meaningful toString, equals and hashCode methods, as well as the ability to be deconstructed with pattern matching. In Scala, functions are values, and can be defined as anonymous functions with a concise syntax.