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.

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 ...

Aster Da ta, which provides data management and data processing platform for big data analytic applications, today announced the delivery of over 30 ready-to-use advanced analytic packages and more ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Aster Data Systems made a play for Microsoft. NET ...

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 ...

In the vast universe of IT, data is categorized as being either structured or unstructured, from a macro perspective. Generation of unstructured data is orders of magnitude higher than that generated ...

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.

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 ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...