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Kornelije Rabuzin – University of Zagreb, Faculty of organization and informatics, Pavlinska 2, Varaždin, Croatia

Sonja Ristić – University of Novi Sad, Faculty of technical sciences, Trg D. Obradovića 6, Novi Sad, Serbia

Robert Kudelić – University of Zagreb, Faculty of organization and informatics, Pavlinska 2, Varaždin, Croatia

 

DOI: https://doi.org/10.31410/ITEMA.2020.39

 

4th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2020, Online/virtual, October 8, 2020, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-36-3, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2020

 

 

Abstract

In recent years, graph databases have become far more important. They have been proven to be an excellent choice for storing and managing large amounts of interconnected data. Since graph databases (GDB) rely on a graph data model based on graph theory, this study examines whether currently available graph database management systems support the principles of graph theory, and, if so, to what extent. We also show how these systems differ in terms of implementation and languages, and we also discuss which graph database management systems are used today and why.

 

Keywords

Neo4j, MS SQL server, Oracle, Cypher.


References

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Maleković, M., Rabuzin, K., & Šestak, M., (2016). Graph Databases-are they really so new. International Journal of Advances in Science Engineering and Technology. 4 (2016). Retrieved from http://bib.irb.hr/prikazi-rad?rad=843723
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Rabuzin, K., Maleković, M., & Šestak, M. (2016). Gremlin By Example. International Conference on Advances in Big Data Analytics, 144–149.
Rabuzin, K., Šestak, M., & Konecki, M., 2016b. Implementing UNIQUE Integrity Constraint in Graph Databases. Multi-Conference on Computing in the Global Information Technology. Retrieved from http://bib.irb.hr/prikazi-rad?rad=844504
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