Answer Posted / Mahendra Patel
Spark and Hadoop are complementary, rather than competitive. Spark is a fast and general processing engine that can read data from multiple sources, whereas Hadoop MapReduce is a batch processing system optimized for storing and analyzing large datasets on commodity hardware. Spark can be used with Hadoop to process data in real-time alongside batch jobs.
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