What is the difference between Hadoop and Spark?

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Sana

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Hadoop is a comprehensive big data framework for storage and processing, while Spark is a fast, general-purpose distributed computing framework for processing data, especially in real-time and for machine learning
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Hadoop: Disk-based, slower, good for batch processing. Spark: In-memory, faster, good for batch + real-time processing.
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Hadoop stores and processes data on external storage. Spark stores and process data on internal memory. Hadoop processes data in batches. Spark processes data in real time.
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