Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB

Diogo Fernandes, Jorge Bernardino

2018

Abstract

Graph databases are a very powerful solution for storing and searching for data designed for data rich in relationships, such as Facebook and Twitter. With data multiplication and data type diversity there has been a need to create new storage and analysis platforms that structure irregular data with a flexible schema, maintaining a high level of performance and ensuring data scalability effectively, which is a problem that relational databases cannot handle. In this paper, we analyse the most popular graph databases: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J and OrientDB. We study the most important features for a complete and effective application, such as flexible schema, query language, sharding and scalability.

Paper Citation

in Harvard Style

Fernandes D. and Bernardino J. (2018). Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, pages 373-380. DOI: 10.5220/0006910203730380

in Bibtex Style

@conference{data18,
author={Diogo Fernandes and Jorge Bernardino},
title={Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={373-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006910203730380},
isbn={978-989-758-318-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB
SN - 978-989-758-318-6
AU - Fernandes D.
AU - Bernardino J.
PY - 2018
SP - 373
EP - 380
DO - 10.5220/0006910203730380