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What are the downsides of Spark?
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Answer / Vishal Kumar Mishra
Despite its advantages, Apache Spark has some limitations. Firstly, due to its in-memory caching mechanism, it requires a large amount of memory to process data efficiently, which can be a bottleneck for organizations with limited resources. Secondly, as compared to MapReduce, Spark may have higher overhead and lower fault tolerance, especially when dealing with smaller datasets. Lastly, the learning curve for using Spark can be steep for developers without prior experience in distributed computing.
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