DocumentCode :
3760969
Title :
A Study on Data Input and Output Performance Comparison of MongoDB and PostgreSQL in the Big Data Environment
Author :
Min-Gyue Jung;Seon-A Youn;Jayon Bae;Yong-Lak Choi
Author_Institution :
Grad. Sch. of Inf. Sci., Soongsil Univ., Seoul, South Korea
fYear :
2015
Firstpage :
14
Lastpage :
17
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.
Keywords :
"Data models","Big data","Software","Time measurement","Relational databases","Companies"
Publisher :
ieee
Conference_Titel :
Database Theory and Application (DTA), 2015 8th International Conference on
Type :
conf
DOI :
10.1109/DTA.2015.14
Filename :
7433710
Link To Document :
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