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What are the demerits of Spark in Spark?

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The demerits of Spark are:

Developers are always careful while running Spark applications.

There is a possibility of having a bottleneck in the cost-efficient big data process with the capability of Spark in-memory.

Spark uses more storage space when compared to MapReduce and Hadoop. It leads to certain problems.

The work should distribute over multiple clusters instead of running on a single node.

A huge amount of data can be consumed by Spark when compared to Hadoop.

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