Document details

Analysis of node.js application performance using mongoDB drivers

Author(s): Cayres, Leandro Ungari [UNESP] ; de Lima, Bruno Santos [UNESP] ; Garcia, Rogério Eduardo [UNESP] ; Correia, Ronaldo Celso Messias [UNESP]

Date: 2020

Persistent ID: http://hdl.handle.net/11449/201589

Origin: Oasisbr

Subject(s): Drivers; MongoDB; Node.js application; NoSQL databases; Performance; Drivers; Drivers; MongoDB; MongoDB; Node.js application; Node.js application; NoSQL databases; NoSQL databases; Performance; Performance


Description

Made available in DSpace on 2020-12-12T02:36:36Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01

At the last few years, the usage of NoSQL databases has increased, and consequently, the need for integrating with different programming languages. In that way, database drivers provide an API to perform database operations, which may impact on the performance of applications. In this article, we present a comparative study between two main drivers solutions to MongoDB in Node.js, through the evaluation of CRUD tests based on quantitative metrics (time execution, memory consumption, and CPU usage). Our results show which, under quantitative analysis, the MongoClient driver has presented a better performance than Mongoose driver in the considered scenarios, which may imply as the best alternative in the development of Node.js applications.

Faculty of Science and Technology São Paulo State University (UNESP)

Faculty of Science and Technology São Paulo State University (UNESP)

Document Type Other
Language English
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