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

被引：28
|
作者：
Jung, Min-Gyue [1 ]
Youn, Seon-A
Bae, Jayon
Choi, Yong-Lak
机构：
[1] Soongsil Univ, Grad Sch Informat Sci, 369 Sangdo Ro, Seoul, South Korea
来源：
2015 8TH INTERNATIONAL CONFERENCE ON DATABASE THEORY AND APPLICATION (DTA) | 2015年
关键词：
D O I：
10.1109/DTA.2015.14
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：14 / 17
页数：4
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