Analysis of node.js application performance using mongoDB drivers

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-12T02:36:36Z
dc.date.accessioned2022-12-19T21:18:21Z
dc.date.available2020-12-12T02:36:36Z
dc.date.available2022-12-19T21:18:21Z
dc.date.created2020-12-12T02:36:36Z
dc.date.issued2020-01-01
dc.identifierAdvances in Intelligent Systems and Computing, v. 1137 AISC, p. 213-222.
dc.identifier2194-5365
dc.identifier2194-5357
dc.identifierhttp://hdl.handle.net/11449/201589
dc.identifier10.1007/978-3-030-40690-5_21
dc.identifier2-s2.0-85080862767
dc.identifier8031012573259361
dc.identifier0000-0003-1248-528X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5382223
dc.description.abstractAt 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.
dc.languageeng
dc.relationAdvances in Intelligent Systems and Computing
dc.sourceScopus
dc.subjectDrivers
dc.subjectMongoDB
dc.subjectNode.js application
dc.subjectNoSQL databases
dc.subjectPerformance
dc.titleAnalysis of node.js application performance using mongoDB drivers
dc.typeActas de congresos


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