Essentially, Apache Hadoop can store and process the data (parallel) whereas Apache Spark is more of a processing framework. However, the key difference lies in the approach to process data. Spark provides in-memory computing (using RDDS), which is way faster than the traditional Apache Hadoop. Go through this immersive Apache Spark tutorial to understand the difference in a better way. Moreover, you can read this Hadoop vs. Spark blog that depicts the fundamental differences between the two.
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