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Authors: José Guia 1 ; Valéria Gonçalves Soares 2 and Jorge Bernardino 3

Affiliations: 1 ISEC and Polytechnic of Coimbra, Portugal ; 2 Informatics Centre and Federal University of Paraiba, Brazil ; 3 ISEC, Polytechnic of Coimbra and CISUC - Centre for Informatics and Systems of the University of Coimbra, Portugal

Keyword(s): Graph Databases, NoSQL Databases, Neo4j.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Non-Relational Databases

Abstract: The volume of data is growing at an increasing rate. This growth is both in size and in connectivity, where connectivity refers to the increasing presence of relationships between data. Social networks such as Facebook and Twitter store and process petabytes of data each day. Graph databases have gained renewed interest in the last years, due to their applications in areas such as the Semantic Web and Social Network Analysis. Graph databases provide an effective and efficient solution to data storage and querying data in these scenarios, where data is rich in relationships. In this paper, it is analyzed the fundamental points of graph databases, showing their main characteristics and advantages. We study Neo4j, the top graph database software in the market and evaluate its performance using the Social Network Benchmark (SNB).

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Paper citation in several formats:
Guia, J. ; Gonçalves Soares, V. and Bernardino, J. (2017). Graph Databases: Neo4j Analysis. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 351-356. DOI: 10.5220/0006356003510356

@conference{iceis17,
author={José Guia and Valéria {Gon\c{c}alves Soares} and Jorge Bernardino},
title={Graph Databases: Neo4j Analysis},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006356003510356},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Graph Databases: Neo4j Analysis
SN - 978-989-758-247-9
IS - 2184-4992
AU - Guia, J.
AU - Gonçalves Soares, V.
AU - Bernardino, J.
PY - 2017
SP - 351
EP - 356
DO - 10.5220/0006356003510356
PB - SciTePress

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