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http://dx.doi.org/10.17661/jkiiect.2016.9.3.298

A Study about Performance Evaluation of Various NoSQL Databases  

Park, Hong-Jin (School of Computer, Information and Communication Engineering, SangJi University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.3, 2016 , pp. 298-305 More about this Journal
Abstract
Various NoSQL databases are more excellent to process a large amount of big data than existing relational databases such as MySQL, PostgreSQL and Oracle. Among widely used NoSQL databases, performance of HBase, Cassandra, MongoDB and Redis was comparatively assessed. For distributed processing of a large amount of data, 12 servers were connected through switching hub and Ubuntu was installed as operating system. As for benchmark tool, YCSB was applied. Read and update ratios changed from 50% and 50%, 95% and 5% and finally, 100% and 0% and each of them was assessed as 200,000 commands developed into 1,200,000 commands for each case. Cassandra was most excellent with transaction processing per second while MongoDB was most excellent with the number of processes carried out per unit time.
Keywords
HBase; Cassandra; MongoDB; Redis; NoSQL;
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