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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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An Evaluation of Data Model for NoSQL Document-Based Databases

NoSQL database offers flexibility in the data model. The document-based databases may have some data models built with embedded documents, and others made with referenced documents. The challenge lies in choosing the structure of the data. This paper proposes a study to analyze if different data models can have an impact on the performance of database queries. To this end, we created three data models: embedded, referenced, and hybrid. We experimented each data model in a MongoDB cluster, comparing the response time of 3 different queries in each model. It resulted in differentiated performance between the data models. We also evaluated the use of indexes at each data model and discovered there are types of indexes that have better performance than others, according to the type of the query and the searched field. Additionally, we analyzed the space occupied on the storage disk. It showed that the model choice also affects disk space to store the data and indexes.

DEBORA GOMES DOS REIS
University of Brasilia - UnB
Brazil

FABIO GASPARONI
University of Brasilia - UnB
Brazil

MARISTELA TERTO HOLANDA
University of Brasilia - UnB
Brazil

Marcio de Carvalho Victorino
University of Brasilia - UnB
Brazil

MARCELO LADEIRA
University of Brasilia - UnB
Brazil

 

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