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Authors: Diogo Fernandes 1 and Jorge Bernardino 2

Affiliations: 1 Polytechnic of Coimbra - ISEC, Rua Pedro Nunes, Coimbra and Portugal ; 2 Polytechnic of Coimbra - ISEC, Rua Pedro Nunes, Coimbra, Portugal, CISUC – Centre for Informatics and Systems of the University of Coimbra and Portugal

ISBN: 978-989-758-318-6

Keyword(s): Graph databases, NoSQL databases, AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, OrientDB.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Data Management for Analytics ; Databases and Data Security ; Nosql Databases ; Open Source Databases

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.

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Paper citation in several formats:
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

@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},
}

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

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