The biggest advantage to adding NoSQL is that Hadoop, which processes data offline in a per-batch system, now can be used in a real-time manner in some use cases, greatly speeding up analytics projects for line-of-business enterprise employees.

Apache Hadoop analytics provider MapR Technologies has expanded its enterprise-grade capabilities by adding the NoSQL database to its M7 distribution, creating a faster big data-crunching analytics platform.

The company made the announcement at last week’s O’Reilly Strata Conference + Hadoop World 2012 in New York.
The biggest advantage to adding NoSQL is that Hadoop, which processes data offline in a per-batch system, now can be used in a real-time manner in some use cases, greatly speeding up analytics projects for line-of-business enterprise employees.
“This now brings unprecedented Hadoop and NoSQL capabilities together for a broader set of use cases,” said MapR CEO and cofounder John Schroeder. “With MapR M7, big data operations ranging from batch analytics to real-time database functions can be performed with enterprise-grade reliability and protection.”