Performance analysis of NoSQL and relational databases with MongoDB and MySQL

Abstract

Relational databases are not powerful, when we have to inquire with an extensive variety of gigantic information. Relational databases like MySQL are storing data in organized form. Document-based data stores like MongoDB, which is a type of NoSQL database can store huge volume of data which additionally have very powerful query engines and indexing features. This paper concentrates on the upsides of NoSQL databases over relational databases in the investigation of the big data by making a performance comparison of various queries and commands in both the systems using two different datasets of dissimilar sizes.