MapR speeds up analysis enabling even more creative uses of big data analytics. MapR provides a distributed read/write layer that eliminates local file system limitations, Java issues and the overhead and restrictions associated with a single name node.
MapR significantly improves MapReduce throughput. The underlying storage services architecture enables highly optimized shuffle operations for further performance advantages. In addition to overall speed improvements, MapR also excels at random I/O throughput with faster performance than any other Hadoop distribution.