While both Spark and Hadoop are fault-tolerant, one of the basic and yet a major difference between the two big data computing frameworks is the way they do data processing and computing. While Hadoop stores data in disk, Spark stores data in-memory. Due to this in-memory processing, Spark is 10-100 X faster than Hadoop.
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