A Selection Process of Graph Databases Based on Business Requirements
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Fecha
2019-10
Autores
Ortega-Guzmán, Víctor H.
Ruiz-Rountree, Leobardo
Gutiérrez-Preciado, Luis F.
Cervantes-Álvarez, Francisco
Título de la revista
ISSN de la revista
Título del volumen
Editor
Springer
Resumen
Descripción
Several graph databases provide support to analyze a large amount of highly connected data, and it is not trivial for a company to choose the right one. We propose a new process that allows analysts to select the database that suits best to the business requirements. The proposed selection process makes possible to benchmark several graph databases according to the user needs by considering metrics such as querying capabilities, built-in functions, performance analysis, and user experience. We have selected some of the most popular native graph database engines to test our approach to solve a given problem. Our proposed selection process has been useful to design benchmarks and provides valuable information to decide which graph database to choose. The presented approach can be easily applied to a wide number of applications such as social network, market basket analysis, fraud detection, and others.
Palabras clave
Graph Databases, Benchmarking, Selection Process
Citación
V. H. Ortega-Guzmán, L. Ruiz-Rountree, L. F. Gutiérrez-Preciado, and J.F. Cervantes-Álvarez,"A Selection Process of Graph Databases Based on Business Requirements," in Trends and Applications in Software Engineering (CIMPS- 2019), León, México, Oct. 2019, pp. 1-12.