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Analysis of Node.js Application Performance Using MongoDB Drivers

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Information Technology and Systems (ICITS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1137))

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Abstract

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.

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Notes

  1. 1.

    https://mongodb.github.io/node-mongodb-native/.

  2. 2.

    https://mongoosejs.com/.

  3. 3.

    https://www.mongodb.com/.

  4. 4.

    http://bsonspec.org/.

  5. 5.

    https://mongodb.github.io/node-mongodb-native/index.html.

  6. 6.

    https://mongoosejs.com/.

  7. 7.

    https://github.com/wahengchang/js-meter.

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Author information

Authors and Affiliations

  1. Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil

    Leandro Ungari Cayres, Bruno Santos de Lima, Rogério Eduardo Garcia & Ronaldo Celso Messias Correia

Authors
  1. Leandro Ungari Cayres
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  2. Bruno Santos de Lima
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  3. Rogério Eduardo Garcia
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  4. Ronaldo Celso Messias Correia
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Corresponding author

Correspondence to Leandro Ungari Cayres .

Editor information

Editors and Affiliations

  1. DEI/FCT, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografia, University of Santiago de Compostela, Santiago de Compostela, Spain

    Carlos Ferrás

  3. Facultad de Ingeniería, Universidad Distrital Francisco José de, Bogota, Colombia

    Carlos Enrique Montenegro Marin

  4. Facultad de Ingeniería, Universidad Distrital Francisco José de, Bogota, Colombia

    Víctor Hugo Medina García

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Cayres, L.U., de Lima, B.S., Garcia, R.E., Correia, R.C.M. (2020). Analysis of Node.js Application Performance Using MongoDB Drivers. In: Rocha, Á., Ferrás, C., Montenegro Marin, C., Medina García, V. (eds) Information Technology and Systems. ICITS 2020. Advances in Intelligent Systems and Computing, vol 1137. Springer, Cham. https://doi.org/10.1007/978-3-030-40690-5_21

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