2015•Unpublished venueRequires access

A Study on Data Input and Output Performance Comparison of MongoDB and PostgreSQL in the Big Data Environment

Min-Gyue Jung, Seon-A Youn, Jayon Bae, Yong-Lak Choi

Abstract

Due to advancement of social network and popularization of mobile devices, the existing relational database management system(RDBMS)'s processing of massive data has become an issue. NoSQL is a database management system which makes processing of massive and/or unstructured data easier, and many companies today tend to start a project using NoSQL. Moreover, converting the RDBMS of current systems to NoSQL has become a trend. This study assesses the performance differences between RDBMS and NoSQL. The optimal design for enhanced functionality when using NoSQL has been described as well. In this study, PostgreSQL and MongoDB have been selected to represent RDBMS and NoSQL respectively, for comparative analysis.

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Key concepts: NoSQL, Relational database management system, Computer science, Database, Big data, Relational database, SQL, Operating system