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  • 标题:Evaluation Criteria for Selecting NoSQL Databases in a Single Box Environment
  • 本地全文:下载
  • 作者:Ryan D. L. Engle ; Brent T. Langhals ; Michael R. Grimaila
  • 期刊名称:International Journal of Database Management Systems
  • 印刷版ISSN:0975-5985
  • 电子版ISSN:0975-5705
  • 出版年度:2018
  • 卷号:10
  • 期号:4
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In recent years, NoSQL database systems have become increasingly popular, especially for big data,commercial applications. These systems were designed to overcome the scaling and flexibility limitationsplaguing traditional relational database management systems (RDBMSs). Given NoSQL database systemshave been typically implemented in large-scale distributed environments serving large numbers ofsimultaneous users across potentially thousands of geographically separated devices, little considerationhas been given to evaluating their value within single-box environments. It is postulated some of theinherent traits of each NoSQL database type may be useful, perhaps even preferable, regardless of scale.Thus, this paper proposes criteria conceived to evaluate the usefulness of NoSQL systems in small-scalesingle-box environments. Specifically, key value, document, column family, and graph database arediscussed with respect to the ability of each to provide CRUD transactions in a single-box environment.
  • 关键词:Data storage systems; databases; database systems; relational databases; data models; NoSQL
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