ABSTRACT
Powerful computers and numerous tools for complex biological data analysis are crucial in proteomics, genomics, drug discovery, and other areas of Big Data biology, that is, in various categories. Leaving structured query language (SQL) and implementing Not Only SQL (NoSQL) is turning out a great win in the development and management of big and complex biological data. Therefore NoSQL databases are really a choice for persisting big and complex data. The reasons for biology to adopt a NoSQL database over a relational database are the growth and generation of Big Data. Big Data is one of the key forces driving the growth and popularity of NoSQL in biology. There are numerous NoSQL technologies that have become popular in managing Big Data sets comfortably. These technologies can be categorized as follows: document model, key–value model, column model, and graph model, and these technologies are implemented in different areas of biology where big and complex data are generated.
