An Analytical Study of NoSQL Database Systems for Big Data Applications

Raghavendra Sridhar, Rashi Nimesh Kumar Dhenia

Abstract: Modern society generates and processes massive volumes of information, commonly referred to as Big Data, across various domains. Big Data is defined by seven key dimensions: Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value. Traditional database management systems are often inadequate for meeting the demands of high availability, scalability, and reliability required in Big Data environments. In response to these challenges, NoSQL databases have emerged as a flexible alternative. Unlike traditional relational databases, NoSQL systems do not rely on a fixed schema, making them well suited for storing and managing the large-scale, unstructured data prevalent in many fields. This paper examines the four main categories of NoSQL databases and presents notable examples from each category.

Keywords: Big Data, NoSQL databases, data scalability, unstructured data, flexible schema, data management, database systems, high availability

How to Cite?: Raghavendra Sridhar, Rashi Nimesh Kumar Dhenia, "An Analytical Study of NoSQL Database Systems for Big Data Applications", Volume 9 Issue 8, August 2020, International Journal of Science and Research (IJSR), Pages: 1616-1619, https://www.ijsr.net/getabstract.php?paperid=MS2008134522, DOI: https://dx.doi.org/10.21275/MS2008134522