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How to Judge a Columnar Database, Revisited

机译:再论如何判断柱状数据库

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摘要

Last December, my column discussed columnar databases. When someone quoted it recently, I re-alized.it had already become outdated, because a new generation of vendors, including Vertica Systems, ParAccel, Calpont and Infobright, has joined older columnar systems from Sybase IQ, Alterian, smartFOCUS, Kx Systems and 1010data. In general, the new systems assign dedicated disk drives to each processor (shared-nothing) while the older systems apply multiple processors to a shared storage pool. Each approach has its strengths and weaknesses, which introduce new differences to consider. In addition, the broader adoption of multiple processors and 64-bit memory removes some of the performance constraints that impacted earlier systems. First I'll revisit the original list of items to see which are still relevant, and then I'll add a few new ones.
机译:去年12月,我的专栏讨论了列式数据库。当有人最近引用它时,我重新修改了它,因为它已经过时了,因为包括Vertica Systems,ParAccel,Calpont和Infobright在内的新一代供应商已经加入了Sybase IQ,Alterian,smartFOCUS,Kx Systems和1010数据。通常,新系统将专用磁盘驱动器分配给每个处理器(无共享),而旧系统则将多个处理器应用于共享存储池。每种方法都有其优点和缺点,这引入了要考虑的新差异。此外,更广泛地采用多个处理器和64位内存消除了一些影响早期系统的性能限制。首先,我将重新访问原始项目列表,以查看仍然相关的项目,然后再添加一些新项目。

著录项

  • 来源
    《DM review》 |2008年第10期|p.15|共1页
  • 作者

    David M. Raab;

  • 作者单位

    Raab Associates, Inc.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;
  • 关键词

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