A Comparison between a Relational Database and a Graph Database in the context of a Personalized Cancer Treatment Application
| dc.creator | Martínez Porras, Alexandra | |
| dc.creator | Mora Rodríguez, Rodrigo Antonio | |
| dc.creator | Alvarado González, Daniel | |
| dc.creator | López Herrera, Gustavo | |
| dc.creator | Quirós Barrantes, Steve | |
| dc.date.accessioned | 2018-01-19T20:30:52Z | |
| dc.date.available | 2018-01-19T20:30:52Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | This paper presents a performance comparison between a relational database (implemented in MySQL) and a graph database (implemented in Neo4j). Unlike traditional benchmarks, this comparison is made in the context of a real health application which was developed in Costa Rica. The comparison encompassed twelve queries and three data size configurations.The results of the comparison indicate that MySQL performs better than Neo4j in most cases, but has a poor performance when data size is large and the queries have multiple join operations. | es_ES |
| dc.description.procedence | UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC) | es_ES |
| dc.description.procedence | UCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informática | es_ES |
| dc.description.sponsorship | Universidad de Costa Rica/[]/UCR/Costa Rica | es_ES |
| dc.identifier.citation | http://ceur-ws.org/Vol-1644/ | |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://hdl.handle.net/10669/73893 | |
| dc.language.iso | en_US | es_ES |
| dc.rights | acceso abierto | |
| dc.source | Alberto Mendelzon International Workshop on Foundations of Data Management; Volumen 1644. 2016 | es_ES |
| dc.subject | Relational databases | es_ES |
| dc.subject | Graph databases | es_ES |
| dc.subject | Cancer treatment | es_ES |
| dc.title | A Comparison between a Relational Database and a Graph Database in the context of a Personalized Cancer Treatment Application | es_ES |
| dc.type | artículo original |