In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing (MPP) database engines.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...

Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing (MPP) database engines.

One of the key differentiators to the Platform Computing technology for MapReduce is the ability to manage different data sources and output targets. This not only means support for multiple ...

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 ...

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.