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What Are The Disadvantages Of Using Apache Spark Over Hadoop Mapreduce? |
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Answer» Apache spark does not scale well for compute intensive jobs and consumes large number of system resources. Apache Spark’s in-memory capability at times comes a major roadblock for cost efficient PROCESSING of BIG data. ALSO, Spark does have its own file MANAGEMENT system and hence needs to be integrated with other cloud BASED data platforms or apache hadoop. Apache spark does not scale well for compute intensive jobs and consumes large number of system resources. Apache Spark’s in-memory capability at times comes a major roadblock for cost efficient processing of big data. Also, Spark does have its own file management system and hence needs to be integrated with other cloud based data platforms or apache hadoop. |
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