Analysis and comparision of document-based databases with relational databases: MongoDB vs MySQL

Raif Deari, Xhemal Zenuni, Jaumin Ajdari, Florije Ismaili, Bujar Raufi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we aim to make a comprehensive analysis and comparison between document-based and relational databases. We review and evaluate data storage and data management principles of each type of concerned databases. In addition, we evaluate the performance of CRUD operations using different scenarios on MongoDB and MySQL as two representatives of respected data models. The results give insights to advantages and disadvantages of each database model.

Original languageEnglish
Title of host publication2018 International Conference on Information Technologies, InfoTech 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695210
DOIs
Publication statusPublished - 25 Oct 2018
Externally publishedYes
Event2018 International Conference on Information Technologies, InfoTech 2018 - Varna, Bulgaria
Duration: 20 Sep 201821 Sep 2018

Publication series

Name2018 International Conference on Information Technologies, InfoTech 2018 - Proceedings

Conference

Conference2018 International Conference on Information Technologies, InfoTech 2018
Country/TerritoryBulgaria
CityVarna
Period20/09/1821/09/18

Keywords

  • analysis
  • comparison
  • evaluation
  • MongoDB
  • MySQL
  • NoSQL
  • SQL

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