• Dharmender Kumar
• K.L. Bansal

A database is a collection of some meaningful information that is organized so that it can easily be accessed, managed, and updated. Many types of database management systems have been developed to solve different types of problems such as relational database management system. But today, the amount of data is increasing tremendously which can be structured, semi structured and unstructured. Relational database management system is not sufficient to manage this huge amount of unstructured data. To store unstructured data a new alternative called NoSQL has been evolved. NoSQL databases are distributed and open source. There are many external application programs such as MongoDB, Redis, Couchbase etc. to implement NoSQL. In this paper we have tested the performance of NoSQL databases system namely MongoDB on the basis of six datasets consisting of 10 lakhs, 20 lakhs, 30 lakhs, 40 lakhs, 50 lakhs and 60 lakhs records which shares the same attributes. Different types of queries update, remove, find etc. has been used to evaluate the performance of MongoDB with the increase in number of instances in the same dataset.

NoSQL, MongoDB, RDBMS, JSON, BASON, BASE, ACID

"Analysis of MongoDB on Increasing Dataset Size", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.595-600, October-2018, Available :http://www.jetir.org/papers/JETIR1810699.pdf

"Analysis of MongoDB on Increasing Dataset Size", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp595-600, October-2018, Available at : http://www.jetir.org/papers/JETIR1810699.pdf