The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

Big Data is not always about Hadoop, and it's not always about new technologies. As Trendspottr shows us, sometimes hardcore algorithms, even older ones, provide new breakthroughs.

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

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

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 ...

MapReduce: A programming model that simplifies distributed data processing by dividing tasks into map and reduce functions operating in a parallel, fault-tolerant manner.

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

Aster Data Systems extends its functionality to allow Microsoft .NET application developers to write applications in MapReduce. With the update to the Aster nCluster product line, database ...

Sybase CTO Irfan Khan said that adding MapReduce functionality to the Sybase IQ analytic should significantly boost its performance. Who says there is a war raging between traditional SQL database ...

Aster Data is providing customers with more than 1,000 new MapReduce-ready features designed to increase the adoption of MapReduce by enterprises dealing with big data applications.

Two database vendors have integrated Google's MapReduce parallel processing framework.