Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database

被引:22
作者
Matallah, Houcine [1 ]
Belalem, Ghalem [2 ]
Bouamrane, Karim [3 ]
机构
[1] Univ Tlemcen, Fac Sci, Dept Comp Sci, Tilimsen, Algeria
[2] Univ Oran 1, Dept Comp Sci, Oran, Algeria
[3] Univ Oran 1, Oran, Algeria
来源
INTERNATIONAL JOURNAL OF SOFTWARE SCIENCE AND COMPUTATIONAL INTELLIGENCE-IJSSCI | 2021年 / 13卷 / 03期
关键词
Big Data; MongoDB; MySQL; NoSQL; Relational; SQL; Workload; YCSB; BIG DATA; SQL; CASSANDRA; STRATEGY; BIGDATA; ACCESS; HBASE; MODEL;
D O I
10.4018/IJSSCI.2021070104
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new "NoSQL" databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance of two databases very widespread in the field: MySQL as a relational database and MongoDB as a NoSQL database. To accomplish this confrontation, this research uses the Yahoo! Cloud Serving Benchmark (YCSB). This contribution is to provide some answers to choose the appropriate database management system for the type of data used and the type of processing performed on that data.
引用
收藏
页码:38 / 63
页数:26
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