NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB

被引：1
|
作者：
Carvalho, Ines [1 ]
Sa, Filipe [1 ,3 ]
Bernardino, Jorge [1 ,2 ]
机构：
[1] Polytech Coimbra ISEC, Rua Pedro Nunes, P-3030199 Coimbra, Portugal
[2] Univ Coimbra, CISUC Ctr Informat & Syst, P-3030290 Coimbra, Portugal
[3] CISeD Res Ctr Digital Serv Polytech Viseu, Campus Politecn, P-3504510 Viseu, Portugal
来源：
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) | 2022年
关键词：
NoSQL Document Databases; OSSpal Methodology; Couchbase; CouchDB; MongoDB;
D O I：
10.5220/0011352700003269
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：557 / 564
页数：8
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