Both Spark and Hadoop MapReduce are used for data processing. The difference is in how to do the processing: Spark can do it in memory, but MapReduce has to read from and write to a disk. This affects the speed– Spark is faster than MapReduce. But, when it comes to volume, Hadoop MapReduce can work with far larger data sets than Spark.