GraphVault: A Temporal Graph Persistence Engine

Julian Bichl, Julian Bichl, Thomas Driessen, Melanie Langermeier, Bernhard Bauer

2024

Abstract

Graph structures have gained increasing popularity in recent years as they offer comprehensive possibilities for managing and analyzing high interconnected data. In order to facilitate the orchestration of these data, graph databases have been developed enabling graphs to be stored as central entity. However, traditional graph databases and frameworks consider graphs as a inherently valid unit without temporal reference which can limit their ability to perform advanced analysis. This paper presents GraphVault, a graph persistence engine that is capable of efficiently storing graphs and reconstructing labeled property graphs over time. We present our temporal data model, which we mapped to a key-value engine using a purpose-built record design. The performance of our implementation is then compared to that of a conventional graph database.

Paper Citation

in Harvard Style

Bichl J., Driessen T., Langermeier M. and Bauer B. (2024). GraphVault: A Temporal Graph Persistence Engine. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 224-231. DOI: 10.5220/0012556500003690

in Bibtex Style

@conference{iceis24,
author={Julian Bichl and Thomas Driessen and Melanie Langermeier and Bernhard Bauer},
title={GraphVault: A Temporal Graph Persistence Engine},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012556500003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - GraphVault: A Temporal Graph Persistence Engine
SN - 978-989-758-692-7
AU - Bichl J.
AU - Driessen T.
AU - Langermeier M.
AU - Bauer B.
PY - 2024
SP - 224
EP - 231
DO - 10.5220/0012556500003690
PB - SciTePress