When it emerged from stealth in 2011, MapR was an outlier in the Hadoop community. At the time, Hadoop was defined largely by two projects adapted from Google research: MapReduce, which introduced highly linear, massively parallel processing to big data, and the HDFS file system, which could accommodate data by the petabyte. And at the time, Hadoop was defined as an Apache open source platform. MapR's message, [...]