MongoDB is a document-based database management system commonly used for high-volume data storage. It is an easy tool to manage data and was developed to substitute the MySQL structure, as the growth of data required new tools for its management. MySQL became outdated for its lack of flexibility for reformatting data structures. The problem lies within a table-based design, as it makes the set of multivariate search queries finite. Enterprises rely on a combination of structured and unstructured data for business decisions, giving MongoDB rapid growth.
MySQL is a table-based system or open-source relational database, while MongoDB is also called an object-based system. A table-based design is the data query structure for search, where all data is related to another data point or set. Data in MongoDB, on the contrary, is non-relational. Instead of using tables and rows, MongoDB makes collections and documents. The documents are formed from key-value pairs – the core units of the system. Unlike rows, documents can store information that is complex in structure. Sets of documents and functions are united in the collections, which can be equivalent to relational database tables. MongoDB allows you to represent store arrays, hierarchical relationships, and other more complex structures.