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Comparative Study of CouchDB and MongoDB – NoSQL Document Oriented Databases

by Niteshwar Datt Bhardwaj
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 3
Year of Publication: 2016
Authors: Niteshwar Datt Bhardwaj
10.5120/ijca2016908457

Niteshwar Datt Bhardwaj . Comparative Study of CouchDB and MongoDB – NoSQL Document Oriented Databases. International Journal of Computer Applications. 136, 3 ( February 2016), 24-26. DOI=10.5120/ijca2016908457

@article{ 10.5120/ijca2016908457,
author = { Niteshwar Datt Bhardwaj },
title = { Comparative Study of CouchDB and MongoDB – NoSQL Document Oriented Databases },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 3 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number3/24134-2016908457/ },
doi = { 10.5120/ijca2016908457 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:02.942376+05:30
%A Niteshwar Datt Bhardwaj
%T Comparative Study of CouchDB and MongoDB – NoSQL Document Oriented Databases
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 3
%P 24-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A comparison between MongoDB and Apache CouchDB keeping the data and other environments same using Java programming language and Apache JMeter confirms that the MongoDB document write rate is many times faster than the Apache CouchDB.

References
  1. Zhang, Shaolong ; Network Center, Zhejiang Radio & Television University, Hangzhou, 310012, China, “Application of document-oriented NoSQL database technology in web-based software project documents management system,” in IEEE International Conference on Information Science and Technology (ICIST), Yangzhou, March 2013.
  2. Gansen Zhao, Weichai Huang, Shunlin Liang, Yong Tang, “Modeling MongoDB with Relational Model,” IEEE Fourth International Conference on Emerging Intelligent Data and Web Technologies (EIDWT), Xi'an, September 2013.
  3. Dharmasiri, H.M.L. and Goonetillake, M.D.J.S., “A federated approach on heterogeneous NoSQL data stores,” in IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, December 2013.
  4. Phan Thi Anh Mai, Nurminen, J.K., and Di Francesco, M., “Cloud Databases for Internet-of- Things Data” IEEE International Conference on Internet of Things(iThings), 2014 and Green Computing and Communications (GreenCom), September, 2014.
  5. The Altoros, “The NoSQL Technical Comparison,” publication on Couchbase
  6. Julien Carme, R&D engineer, Atos Worldline and Francisco José Ruiz Jimenez, Technical Architect Manager, Atos Spain, “Open Source Solutions for Big Data Management,” Atos.
  7. The United Software Associates, “Comparative benchmarks: mongodb vs. Couchbase vs. Cassandra”, MongoDB, March 2015.
  8. The United Software Associates, “Scalability Benchmarking: MongoDB and NoSQL Systems” MongoDB, June 2015.
Index Terms

Computer Science
Information Sciences

Keywords

SQl NoSQL Database MongoDB CouchDB Big Data.

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