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APACHE SPARK
HADOOP
Processes everything
in memory
Hadoop MapReduce
uses batch processing
Has user-friendly
APIs for multiple
programming
languages
Spark systems cost
more
Hadoop MapReduce
systems cost lesser
Has add-ons such as
Hive and Pig
V E R S U S
COMPARING THE 2 TYPES OF SOFTWARE COURSE
Shares every Hadoop
MapReduce
compatibility
Compliments Apache
Spark seamlesslyto
do something.
Has GraphX, its own
graph computation
library
Hadoop MapReduce
operates in
sequential steps
Utilises TaskTrackers
to keep the
JobTracker ticking
Spark uses Resilient
Distributed Datasets
(RDDs)
+91 8147111254

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Apache spark vs hadoop

  • 1. APACHE SPARK HADOOP Processes everything in memory Hadoop MapReduce uses batch processing Has user-friendly APIs for multiple programming languages Spark systems cost more Hadoop MapReduce systems cost lesser Has add-ons such as Hive and Pig V E R S U S COMPARING THE 2 TYPES OF SOFTWARE COURSE Shares every Hadoop MapReduce compatibility Compliments Apache Spark seamlesslyto do something. Has GraphX, its own graph computation library Hadoop MapReduce operates in sequential steps Utilises TaskTrackers to keep the JobTracker ticking Spark uses Resilient Distributed Datasets (RDDs) +91 8147111254