Evaluation of Couchbase, CouchDB and MongoDB using OSSpal

被引:6
作者
Calcada, Andre [1 ]
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
来源
KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR | 2019年
关键词
NoSQL; Document Store; OSSpal; CouchDB; Couchbase; MongoDB;
D O I
10.5220/0008345104270433
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Document stores are a NoSQL (Not Only Structured Query Language) database type, made to deal with big amounts of data and considered to be very developer-friendly, but they have also attracted a large interest from researchers and practitioners. In this paper, we analyze and evaluate three of the most popular document stores Couchbase, CouchDB, and MongoDB, the evaluation is based on their functionalities. In this evaluation, we use the OSSpal methodology, which combines quantitative and qualitative measures to evaluate the software. We conclude that of these open-source document stores the best is MongoDB, followed by Couchbase, and CouchDB.
引用
收藏
页码:427 / 433
页数:7
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