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http://dx.doi.org/10.9717/kmms.2019.22.9.1036

Structural Analysis and Performance Test of Graph Databases using Relational Data  

Bae, Suk Min (Dept. of Future ICT Convergence Engineering, Graduate School, Dankook University)
Kim, Jin Hyung (Dept. of Future ICT Convergence Engineering, Graduate School, Dankook University)
Yoo, Jae Min (Dept. of Future ICT Convergence Engineering, Graduate School, Dankook University)
Yang, Seong Ryul (Dept. of Future ICT Convergence Engineering, Graduate School, Dankook University)
Jung, Jai Jin (Dept. of Applied Computer Engineering, Dankook University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.9, 2019 , pp. 1036-1045 More about this Journal
Abstract
Relational databases have a notion of normalization, in which the model for storing data is standardized according to the organization's business processes or data operations. However, the graph database is relatively early in this standardization and has a high degree of freedom in modeling. Therefore various models can be created with the same data, depending on the database designers. The essences of the graph database are two aspects. First, the graph database allows accessing relationships between the objects semantically. Second, it makes relationships between entities as important as individual data. Thus increasing the degree of freedom in modeling and providing the modeling developers with a more creative system. This paper introduces different graph models with test data. It compares the query performances by the results of response speeds to the query executions per graph model to find out how the efficiency of each model can be maximized.
Keywords
Graph Database; Graph Model Structure; Performance Test;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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