Evaluating NoSQL Systems for Decision Support: An Experimental Approach

被引：0
|
作者：
Llano-Rios, Tomas F. [1 ]
Khalefa, Mohamed [2 ]
Badia, Antonio [1 ]
机构：
[1] Univ Louisville, Louisville, KY 40208 USA
[2] SUNY Coll Old Westbury, Old Westbury, NY 11568 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2020年
关键词：
D O I：
10.1109/BigData50022.2020.9377881
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We design and implement an experimental analysis comparing two relational systems (PostgreSQL and MariaDB) and two document-based NoSQL systems (MongoDB and CouchBase). We compare their performance on a single server, Decision Support (DSS) scenario. We argue that DSS is becoming an important case study for NoSQL. We experiment with several database designs and several query translations in order to investigate the effect of physical design and query optimization in documentbased stores. Our results show that design is very important for MongoDB's performance, and that query optimization over documents is much less sophisticated on documentbased stores than in relational data bases and needs to improve. Our results also offer some ideas to guide further development in this area.
引用
收藏
页码：2802 / 2811
页数：10
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