ANALYTICAL STUDY AND EVALUATION OF STRUCTURED AND NOSQL DATABASES FOR DATASET

Abstract

The aim of the study is to evaluate document-oriented MongoDB database with SQL in terms of Performance. For better reliability and efficiency of parallel computing, NoSQL techniques distributes the data randomly on data nodes. This strategy provides phenomenal benefits for general data accessing methods. Hence the migration as well as conversion of RDBMS to NoSQL is now a best choice or attention of many researchers in recent times. In software development, migration from a RDBMS to NoSQL is a challenge for database administrators as well as programmers. However, due to explosive growth of big data, the well-structured format of Relational Databases may limit the scalability to maintain horizontal scaling. So to gain flexibility as well feasibility of parallel processing, the data storage methods take NoSQL databases into this consideration.