Google Inc. late last week claimed that results of in-house data-sorting tests bolster its claims that its MapReduce technology can manipulate more data faster than any conventional database.

A team of researchers will release on Tuesday a paper showing that parallel SQL databases perform up to 6.5 times faster than Google Inc.’s MapReduce data-crunching technology. Google bypassed ...

Greenplum and Aster Data Systems will support Google's programming technique, developed for parallel processing of large data sets across commodity hardware Greenplum and Aster Data Systems, two ...

As the undisputed pioneer of big data, Google established most of the key technologies underlying Hadoop and many of the NoSQL databases. The Google File System (GFS) allowed clusters of commodity ...

https://www.pcworld.com/tags/Greenplum+Inc..html and Aster Data Systems, two startups involved in large-scale data analysis, announced this week that their products ...