Performance Evaluation of MongoDB and CouchDB Databases
Shyama M Nair, Rinu Roy, Surekha Mariam Varghese · Zenodo (CERN European Organization for Nuclear Research) · 2017
The rise of new type of databases have seen over the last few years, known as NoSQL databases. NoSQL databases are challenging the dominance of relational databases. Scaling a relational databases on powerful servers are expensive and difficult to handle and Nosql databases are designed to expand horizontally. Also Nosql database is schema less and data can be inserted without any predefined schema. They represent a broad category of databases which allow large quantities of unstructured and semi structured data to be stored and managed. Additionally they are designed to handle high levels of reads and writes while scaling horizontally. There are various open sourced and licenced document oriented NoSQL databases , but all have different mechanism to store data in document format. However it is extremely diligent to decide which is to be used and when. So there is need for performance evaluation of various document oriented databases. This work comprises about a detailed comparative study between MongoDB and CouchDB, two leading document oriented databases.