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Links related to mapreduce vs. netezza vs. hadoop vs. greenplum, etc
Updated on 2009-05-20
Created on 2009-05-20
Category: Computers & Internet
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Cloudera presents the MapReduce bull case | DBMS2 -- DataBase Management System Services
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More generally, people are solving petabyte-scale problems with an open source data management solution, which is fundamentally exciting to me. Hadoop excels on the “problems solved per dollar spent” benchmark that mattered most to me as the manager of a business intelligence/data warehousing group.
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Researchers: Databases still beat Google's MapReduce - databases, google, hadoop, mapreduce - Computerworld
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The researchers did allow that parallel databases, which can be set up in large-scale grids that crunch hundreds of terabytes or even petabytes of data, were "much more challenging" than Hadoop to install and configure properly.
Loading data into MapReduce or Hadoop was also three times faster than into Vertica, and 20 times faster than the unnamed database, they wrote.
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"The superior efficiency of modern [databases] alleviates the need to use such massive hardware on data sets in the range of 1-2 PB," they wrote. "Since few data sets in the world even approach a petabyte in size, it is not at all clear how many MapReduce users really need 1,000 nodes."
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