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Journal of Process Management and New Technologies
Article . 2017 . Peer-reviewed
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Journal of Process Management and New Technologies
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Journal of Process Management and New Technologies
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Relational database and graph database: A comparative analysis

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017 English Publisher:Centre for Evaluation in Education and Science (CEON/CEES)Journal:Journal of Process Management. New Technologies, volume 5, pages 1-9 (issn: 2334-735X, eissn: 2334-7449, Copyright policy )
Authors: Surajit Medhi; Hemanta K. Baruah;

doi: 10.5937/jouproman5-13553

Relational database and graph database: A comparative analysis

Abstract

Since 1970, relational database models have been in use for storing, manipulating and retrieving data. The importance of relational databases is going to decrease due to the exponential growth of data as it is difficult to work with large number of joining tables. For such kinds of problems, one of the best solutions is to use graph database for storing data. The graph database can be used to store highly connected data. In this article, we are going to put forward a comparison between relational database and graph database with reference to an experiment performed.

Related Organizations
Keywords

cypher query language, T1-995, MySQL, Neo4j, Graph, Technology (General)

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
Published in a Diamond OA journal