Difference between SQL and NoSQL Databases

This article explores the various differences between SQL and NoSQL databases. It begins by giving brief descriptions of both SQL and NoSQL databases and then discussing the various pros and cos of each database type. This article also examines the applicability differences between the two database types. Structured Query Language (SQL) refers to a domain-specific or standardized programming language used by database designers in designing and managing relational SQL databases or controlling data stored in RDSMS (relational database management system). The scope of SQL database encompasses data query, data definition (creation and modification of schema), data manipulation (inserting, deleting, and updating), as well as control of data access. NoSQL databases are non-relational and can exist together with relational databases. NoSQL databases are most suitable for use in applications that involve large amounts of data, and the data can either be unstructured, structured, or semi-structured. SQL databases have been the most widely used databases in the world over the years. However, it is the requirements that drive data models, which in turns, influence the choice between SQL and NoSQL databases.