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Comparative Analysis of RDBMS and NoSQL Databases

Authors:
Jam Jahanzeb Khan Behan
Ali Inam
Meesum Ali
Muhammad Talha Khan

Keywords: NoSQL; Big Data; RDBMS; Performance Comparison; Smart Grid.

Abstract:
Big Data has been the subject of increased research since data has been termed the new oil for the 21st century. Recently, smart grids have been used by energy providers to store the massive amount of data that is generated at regular time intervals. K-Electric is one such company in Pakistan that provides the residents of Karachi City with electrical energy. The company stores their data in a Not only Structured Query Language (NoSQL) database, since the smart grid data has a high volume, accelerated velocity, and tremendous variety. Hence, we feel that we can provide an important comparison of NoSQL tools using this data. NoSQL tools have been actively used for storage purposes in the industry. Companies like eBay, GitHub, and Amazon have been using these tools for storage and analytical purposes alike. In this paper, we compare and analyze four different technologies: MySQL, MongoDB, MonetDB, and InfluxDB using the data generated by the smart grids of K-Electric.

Pages: 31 to 35

Copyright: Copyright (c) IARIA, 2020

Publication date: September 27, 2020

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-790-0

Location: Lisbon, Portugal

Dates: from September 27, 2020 to October 1, 2020