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

Houcine Matallah, Ghalem Belalem, K. Bouamrane
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引用次数: 11

Abstract

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.
MySQL关系数据库与MongoDB NoSQL数据库的比较研究
NoSQL数据库是一种新的体系结构,用于弥补影响高度分布式系统(如云计算、社交网络、电子商务)中的关系数据库的各种弱点。几十年来,一些忠于传统关系SQL数据库的公司寻求转向新的“NoSQL”数据库,以满足与数据容量规模变化、负载增加、处理的数据类型的多样性和地理分布相关的新需求。本文开展了一项比较研究,作者将评估在该领域非常广泛的两个数据库的性能:MySQL作为关系数据库和MongoDB作为NoSQL数据库。为了实现这种对抗,本研究使用Yahoo!云服务基准(YCSB)。本文的贡献是提供一些答案,以便为所使用的数据类型和对该数据执行的处理类型选择适当的数据库管理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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