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  • 标题:Experimental Evaluation of NoSQL Databases
  • 本地全文:下载
  • 作者:Veronika Abramova ; Jorge Bernardino ; Pedro Furtado
  • 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:2014
  • 卷号:6
  • 期号:3
  • 页码:1
  • DOI:10.5121/ijdms.2014.6301
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Relational databases are a technology used universally that enables storage, management and retrieval ofvaried data schemas. However, execution of requests can become a lengthy and inefficient process forsome large databases. Moreover, storing large amounts of data requires servers with larger capacities andscalability capabilities. Relational databases have limitations to deal with scalability for large volumes ofdata. On the other hand, non-relational database technologies, also known as NoSQL, were developed tobetter meet the needs of key-value storage of large amounts of records. But there is a large amount ofNoSQL candidates, and most have not been compared thoroughly yet. The purpose of this paper is tocompare different NoSQL databases, to evaluate their performance according to the typical use for storingand retrieving data. We tested 10 NoSQL databases with Yahoo! Cloud Serving Benchmark using a mix ofoperations to better understand the capability of non-relational databases for handling different requests,and to understand how performance is affected by each database type and their internal mechanisms.
  • 关键词:NoSQL databases; SQL databases; performance evaluation; database models; YCSB
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