NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB

Inês Carvalho, Filipe Sá, Filipe Sá, Jorge Bernardino, Jorge Bernardino

2022

Abstract

NoSQL document databases emerged as an alternative to relational databases to deal with large volumes of data. In this paper, we assess the top three free and open-source NoSQL document databases: Couchbase, CouchDB, and MongoDB. Through this analysis, we identify the main characteristics of each database. The OSSpal methodology, which combines quantitative and qualitative measures to assess open-source software was used. This methodology defines seven categories: functionality, operational software characteristics, software technology attributes, documentation, support and service, community and adoption, and development process. At the end, it is obtained a score that identify which is the best NoSQL document database.

Paper Citation

in Harvard Style

Carvalho I., Sá F. and Bernardino J. (2022). NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 557-564. DOI: 10.5220/0011352700003269

in Bibtex Style

@conference{data22,
author={Inês Carvalho and Filipe Sá and Jorge Bernardino},
title={NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={557-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011352700003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB
SN - 978-989-758-583-8
AU - Carvalho I.
AU - Sá F.
AU - Bernardino J.
PY - 2022
SP - 557
EP - 564
DO - 10.5220/0011352700003269