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APACHE SPARK VERSUS
HADOOP COMPARING THE 2 TYPES OF SOFTWARE COURSE
Processes everything in memory
Hadoop MapReduce uses batch processing
Has user-friendly APIs for multiple programming languages
Has add-ons such as Hive and Pig
Spark systems cost more
Hadoop MapReduce systems cost lesser
Shares every Hadoop MapReduce compatibility
Compliments Apache Spark seamlesslyto do something.
Has GraphX, its own graph computation library
Hadoop MapReduce operates in sequential steps
Spark uses Resilient Distributed Datasets (RDDs)
Utilises TaskTrackers to keep the JobTracker ticking