Dylan vs. JSON vs. NoSQL vs. Python Comparison Chart

It is dynamic while providing a programming model designed to support efficient machine code generation, including fine-grained control over dynamic and static behaviors. Describes the Open Dylan implementation of the Dylan language, a core set of Dylan libraries, and a library interchange mechanism. The core libraries provide many language extensions, a threads interface, and object finalization, printing and output formatting modules, a streams module, a sockets module, and modules providing an interface to operating system features such as the file system, time and date information, the host machine environment, as well as a foreign function interface and some low-level access to the Microsoft Win32 API.

NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.