Assembly vs. NoSQL vs. Python vs. Wolfram Language Comparison Chart

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.

We comply with providing the computational paradigm. The Wolfram Language provides access to computing power at a significantly higher level than ever before, leveraging built-in computational intelligence based on a wide variety of algorithms and real-world knowledge, carefully integrated over three decades. The Wolfram Language is scalable for programs both small and large, with out-of-the-box deployment both on-premises and in the cloud. In addition, the Wolfram Language builds on clear principles and an elegant unified symbolic framework to create what is now emerging as the world's most productive programming language, and the first true computational communication language for humans and AI.