Explain how the MongoDB MapReduce and Hadoop MapReduce are similar to each other and explain the differences if there are any.

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Besides the similarities between both, I found MongoDB to be rather advanced as it does not wait as Hadoop does for its mappers first and will not process data until the mapping is finished. This is rather opposite in case of MongoDB. MongoDB has Incremental MapReduce. Tell me how is it any different from Hadoop MapReduce?

Jun 18, 2019 in Big Data Hadoop by nitinrawat895
• 10,950 points
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1 answer to this question.

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Let us discuss the few differences between Hadoop and MongoDB MapReduce.

Hadoop MapReduce is written in Java while MongoDB MapReduce is written JavaScript.

Hadoop MapReduce is capable of using all available cores while MongoDB MapReduce is single threaded.

Hadoop MR cannot collocate with data while MongoDB MR can.

Hadoop MR has millions of engine/hours and can work with really massive data while MongoDB MR is slightly less expandable.

Hadoop MR can handle higher Frameworks like Pig, Sqoop and Hive etc while MongoDB cant.

Hadoop MR is Mainstream and has a lot of community support while MongoDB, I doubt.

Bottom line is that MongoDB MR can be used for Light and something simple.
answered Jun 18, 2019 by ravikiran
• 4,600 points

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