SQL vs NoSQL: Six Systems Compared

Martin Čorovčák, Pavel Koupil

2025

Abstract

The rise of Big Data has exposed the limitations of relational databases in handling large datasets, driving the growth of NoSQL databases. Today, various database systems based on distinct models – or their combinations – are available, raising the question of which is best suited for a specific use case. While several papers compare subsets of these systems, they are often limited in scope. In this paper, we offer a comprehensive comparison of six systems, representing all major data models, through both static and dynamic analysis. We demonstrate their strengths and weaknesses across several realistic use cases.

Paper Citation

in Harvard Style

Čorovčák M. and Koupil P. (2025). SQL vs NoSQL: Six Systems Compared. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 41-53. DOI: 10.5220/0013217300003928

in Bibtex Style

@conference{enase25,
author={Martin Čorovčák and Pavel Koupil},
title={SQL vs NoSQL: Six Systems Compared},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={41-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013217300003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - SQL vs NoSQL: Six Systems Compared
SN - 978-989-758-742-9
AU - Čorovčák M.
AU - Koupil P.
PY - 2025
SP - 41
EP - 53
DO - 10.5220/0013217300003928
PB - SciTePress