A comparative analysis of non-relational databases in e-commerce applications

Kacper Saweczko, Grzegorz Rożek, Małgorzata Plechawska-Wójcik
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Abstract

In this article, a comparative analysis of non-relational databases was conducted to determine the best database for e-commerce systems. Non-relational systems such as MongoDB and Apache Cassandra were used for the study and the results were compared with a relational PostgreSQL database. The main research criterion was performance testing of several types of queries based on execution time. To implement the research, typical e-commerce databases were created and then tested in a .NET test application created by authors. In addition, the difference in community support between non-relational and relational systems was determined. The research showed that MongoDB is best suited for e-commerce systems.
非关系数据库在电子商务应用中的比较分析
在本文中,对非关系数据库进行了比较分析,以确定最适合电子商务系统的数据库。研究使用了MongoDB和Apache Cassandra等非关系型系统,并将结果与关系型PostgreSQL数据库进行了比较。主要的研究标准是基于执行时间对几种查询类型进行性能测试。为了实现研究,创建了典型的电子商务数据库,然后在作者创建的。net测试应用程序中进行了测试。此外,还确定了非关系系统和关系系统在社区支持方面的差异。研究表明,MongoDB最适合电子商务系统。
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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