<i>Given the factor of an 80-fold difference in this record-parsing benchmark, we suspect the absolute numbers for the Hadoop benchmarks in the comparison paper are inflated...</i><p>Whoa! Those are some serious fighting words!
Looks like the author's of the "comparison paper" have a new paper out (the byline says Jan 1 2010) titled "MapReduce and Parallel DBMSs: Friends or Foes?" which seems to take a different approach at characterizing Map/Reduce, but unfortunately the contents are only available for premium members.<p><a href="http://cacm.acm.org/magazines/2010/1/55743-mapreduce-and-parallel-dbmss-friends-or-foes/fulltext" rel="nofollow">http://cacm.acm.org/magazines/2010/1/55743-mapreduce-and-par...</a><p><i>Parallel DBMSs excel at efficient querying of large data sets; MapReduce-style systems excel at complex analytics and ETL tasks. Neither is good at what the other does well. Hence, the two technologies are complementary.</i>
Duplicate entry:
<a href="http://news.ycombinator.com/item?id=1018454" rel="nofollow">http://news.ycombinator.com/item?id=1018454</a><p>The submitter added the known "#' at the end of the linked URL to resubmit again.