NoSQL does not demand data normalization and object-relational mapping.Data is not stored flat in rows and columns (table).NoSQL renders heterogeneous data structures (graph, tree, column family, key-value pair, document, etc.) on the same domain.They are schema-free, or they do not follow any specific schema.NoSQL databases do not follow the relational model.But NoSQL database management systems embrace a wide range of file systems storing structured, unstructured, semi-structured, and polymorphic data. Traditional RDBMS (like SQL) uses simple queries to store and retrieve textual data. But with the advent of big companies like Facebook, Google, Amazon, etc., huge volumes of data are generated, because of which NoSQL databases have become popular. Websites like Google, Twitter, Amazon, Facebook, Instagram, etc., collect terabytes of data every day.Įarlier, web applications were simple and did not generate such huge amounts of data. We use NoSQL databases for real-time web apps, mobile apps, big data, etc. It means such databases do not have a fixed schema, but are intended explicitly for the distributed data that demands humongous data storage. It models the data by means other than the tabular relations. In the year 1998, Carl Strozz introduced NoSQL. NoSQL stands for Not Only SQL or non-SQL and is an unstructured database that helps store and retrieve data. What is NoSQL and why should we use NoSQL? This database system came into action in mid-2000. Documents are a combination of key-value pairs that form the basic unit of data in MongoDB. Here the data and records are stored as documents that behave more like JSON objects. It is a document-oriented database system that belongs to the family of NoSQL (non-SQL). MongoDB is one of the most popular unstructured database management systems that can store a high volume of data.

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