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Authors: Inês Carvalho 1 ; Filipe Sá 2 ; 1 and Jorge Bernardino 3 ; 1

Affiliations: 1 Polytechnic of Coimbra – ISEC, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal ; 2 CISeD – Research Centre in Digital Services of Polytechnic of Viseu, Campus Politécnico, 3504-510 Viseu, Portugal ; 3 CISUC – Centre of Informatics and Systems of University of Coimbra, Pinhal de Marrocos, 3030-290 Coimbra, Portugal

Keyword(s): NoSQL Document Databases, OSSpal Methodology, Couchbase, CouchDB, MongoDB.

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.

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Paper citation in several formats:
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 - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 557-564. DOI: 10.5220/0011352700003269

@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 - DATA},
year={2022},
pages={557-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011352700003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB
SN - 978-989-758-583-8
IS - 2184-285X
AU - Carvalho, I.
AU - Sá, F.
AU - Bernardino, J.
PY - 2022
SP - 557
EP - 564
DO - 10.5220/0011352700003269
PB - SciTePress