Evaluation of NoSQL Databases: MongoDB, Cassandra, HBase, Redis, Couchbase, OrientDB

Houcine Matallah, Ghalem Belalem, K. Bouamrane
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引用次数: 10

Abstract

The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data. The new requirements and the difficulties encountered in the management of data classified “big data” have emerged NoSQL and NewSQL systems. This paper develops a comparative study about the performance of six solutions NoSQL, employed by the important companies in the IT sector: MongoDB, Cassandra, HBase, Redis, Couchbase, and OrientDB. To compare the performance of these NoSQL systems, the authors will use a very powerful tool called YCSB: Yahoo! Cloud Serving Benchmark. The contribution is to provide some answers to choose the appropriate NoSQL system for the type of data used and the type of processing performed on that data.
NoSQL数据库的评估:MongoDB, Cassandra, HBase, Redis, Couchbase, OrientDB
数据量的爆炸式增长,反映了体积、数量和类型的扩展,导致了新的定位技术和数据访问方式的发展。这一演变的最后阶段出现了新技术:云计算和大数据。NoSQL和NewSQL系统是“大数据”分类数据管理的新要求和遇到的困难。本文对MongoDB、Cassandra、HBase、Redis、Couchbase和OrientDB这六种NoSQL解决方案的性能进行了比较研究。为了比较这些NoSQL系统的性能,作者将使用一个非常强大的工具YCSB: Yahoo!云服务基准。本文的贡献在于提供了一些答案,以便为所使用的数据类型和对该数据执行的处理类型选择合适的NoSQL系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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