Finding the best between the column store and row store Databases

Hichem Chaalal, Mostefa Hamdani, H. Belbachir
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Abstract

Row store databases are unavoidable to manage data in Information Systems. However, Web growth and consumer high-connectivity generate incredible amount of data and change ways to manage it. In a matter of fact, traditional Row Stores hardly satisfy new application needs they are faced with, especially for OLAP data processing and BI. Column Stores became to be an answer to this problematic but in a restricted area of features. In this perspective, we propose a deep study that compares column stores and row stores databases to get an answer of the real impact of the physical design of column stores and row stores on the queries response, on small or big volume of data by using the TPCH benchmark in a unique centralized environment.
查找列存储和行存储数据库之间的最佳数据库
行存储数据库是信息系统中不可避免的数据管理方式。然而,Web的增长和消费者的高连接性产生了令人难以置信的数据量,并改变了管理数据的方式。事实上,传统的行存储很难满足它们所面临的新应用程序需求,特别是对于OLAP数据处理和BI。列式存储成为解决这个问题的一个方法,但在功能方面受到限制。从这个角度来看,我们提出了一个深入的研究,比较列存储和行存储数据库,通过在一个独特的集中式环境中使用TPCH基准,得到列存储和行存储的物理设计对查询响应、小数据量或大数据量的实际影响的答案。
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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