Apache Spark vs Hadoop

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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


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