IMPLEMENTATION OF MAP-REDUCE PARADIGM IN MONGODB AND COUCHDB

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5901
Keywords:
NoSQL, Document-Oriented Databases, MongoDB, CouchDB, Map-Reduce

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Subita kumari
Maharshi Dayanand University
http://orcid.org/0000-0001-7100-9326

Abstract

The most famous NoSQL document-oriented databases namely CouchDB and MongoDB have been discussed in this paper. CAP theorem is being discussed for MongoDB and CouchDB. Map-Reduce is a parallel and distributive programming paradigm for processing bulk amount of heterogeneous and unstructured data on clusters of computers. Map-Reduce operation has been implemented in MongoDB and CouchDB. MongoDB uses map-reduce to perform aggregation. CouchDB uses map-reduce for querying and implementing views. The paper also presents major differences and use cases of both the databases. It is found that MongoDB is better-suited document-oriented database for today's web applications than CouchDB.

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Vol. 9 No. 2 (2018): March-April 2018
Section
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