Open-source Hadoop distribution vendor MapR has rolled out a retooled version of its distro that the company says furthers the real-time capabilities of big data.
While businesses already enjoy a certain level of real-time analytics with Hadoop, the latest iteration of the MapR distro aims to decrease the challenges large enterprises often face in a geographically dispersed environment.
In version 4.1, users will find a MapR-DB table replicator, which is designed to drive multiple, active replica clusters across geographies as well as increase disaster recovery. MapR-DB was also given a new C application programming interface, enabling engineers who code in C to write real-time Hadoop applications.
"The newest version of the MapR Distribution extends real-time analysis on big and fast data to geographically-dispersed locations, enabling businesses to gain deeper insights and act on operational data as it happens," Anil Gadre, SVP of product management for MapR, said in a statement.
The move to real-time analytics has long been a strategy on MapR's radar. In an interview with ZDNet last December, MapR CEO John Schroeder explained that enterprises using Hadoop are broadening their use cases, and no longer want to design according to the limitations around base Hadoop.
"More and more use cases are real time, and that really drives customers in our direction," Schroeder said.