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

机译:NoSQL数据库评估:MongoDB,Cassandra,HBase,Redis,Couchbase,OrientdB

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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.
机译:反映卷,数字和类型缩放的数据量的爆炸导致开发新的位置技术和对数据的访问。此演进中的最后步骤已出现新技术:云计算和大数据。数据分类“大数据”管理中遇到的新要求和困难已经出现了NoSQL和NewsQL系统。本文开发了关于IT部门重要公司雇用的六种解决方案NoSQL的表现比较研究:MongoDB,Cassandra,HBase,Redis,Couchbase和OrientdB。要比较这些NoSQL系统的性能,作者将使用一个名为YCSB的强大工具:雅虎!云服务基准。贡献是提供一些答案,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适当的NoSQL系统。

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