Greenplum, a provider of database software for the next generation of data warehousing and analytics, announced support for MapReduce within its massively parallel database engine. MapReduce is the parallel computing technique pioneered by Google for analyzing the web, and Greenplum now makes MapReduce available to enterprises to allow them derive deeper insights from their own data. Early adopters of the technology include LinkedIn and O’Reilly Media.

MapReduce has been proven as a technique for high-scale data analysis by Internet leaders such as Google and Yahoo. Greenplum gives enterprises the best of both worlds – MapReduce for programmers and SQL for DBAs – and will execute both MapReduce and SQL directly within Greenplum’s parallel dataflow engine, which is at the heart of the Greenplum Database.

“On its own, MapReduce is a powerful tool for data manipulation and analysis. Companies that are integrating MapReduce and SQL are increasing its applicability and giving developers and DBAs the ability to work together on a common parallel data processing infrastructure,” said Curt Monash PhD, President of Monash Research and editor of the influential blog DBMS2.

This BeyeNETWORK news item contains information from a recent press release by the company mentioned.