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Answer Posted / Anand Kumar Sagar
One significant drawback of Spark is its resource consumption, especially for smaller datasets. Since Spark caches data in memory, it can consume a lot of resources unnecessarily when dealing with small amounts of data. Additionally, Spark's speed advantage over MapReduce diminishes for small datasets because of the overhead involved in managing distributed computations.
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