The RDBMS vs. NoSQL- a Comparative Study

EasyChair Preprint 9477

Abstract

Increasing reliance on social media
applications, sensors for data collection, and smartphone usage
has resulted in a rapid increase in the amount of data
transmitted over networks. Typically, such data is unstructured
and comes from a variety of sources in various formats. As a
result, data abstraction for rendering is difficult, necessitating
the creation of a computing system capable of storing data in
structured manner and supporting distributed parallel
computing. There are approaches to dealing with big data
using RDBMS and NoSQL. This paper compares RDBMS,
and NoSQL approaches. The mechanics of these approaches
can be clearly distinguished from each other by reviewing
each approach. Essentially, such systems rely on a number of
factors, including the query language. This paper examines
each of these database systems and attempts to identify the
best solution for Big Data needs.

Keyphrases: Big Data, NoSQL, RDBMS, SQL, data management, database, software program

@booklet{EasyChair:9477,
  author    = {Arghyarupa Patra and Akanksha Kulkarni},
  title     = {The RDBMS vs. NoSQL- a Comparative Study},
  howpublished = {EasyChair Preprint 9477},
  year      = {EasyChair, 2022}}