Authors : S. Srividyaa and R. Varalakshmi
Abstract: Due to increasing of users and usage in social network with smart phones, data processing will be the difficult task and it becomes an issue. Typically, such data is unstructured and which receives from multiple sources in different format. Consequently, the abstraction of data for rendering is difficult that lead to the development of a computing system that can store data in unstructured format and support distributed parallel computing. In existing approaches to handle big data, a new method was using NoSQL. This study is about a study of output performance review of NoSQL and Relational Database Management System (RDBMS). By reviewing each approach, the mechanics of NoSQL systems can be clearly distinguished from the existing RDBMS. Basically such methods depend on multiple factors which include the query language, architecture, data model and consumer API. In this study, we are also defining the application that matches the system and subsequently able to accurately correlates to a specific NoSQL system, PostgreSQL and MongoDB have been selected to represent RDBMS and NoSQL, respectively for approximate analysis.
S. Srividyaa and R. Varalakshmi, 2017. A Study on Output Performance of NoSQL Data Processing over RDBMS in Big Data. Journal of Engineering and Applied Sciences, 12: 8173-8179.