Abstract
With the rapid increase of cloud computing, big data and real time web applications, there is eminent need for databases that can handle and process large volumes of data, with high-performance and great scaling capabilities. Since its beginning this was the main goal for NoSQL databases. In this paper we will touch bases with three of the most popular NoSQL databases: MongoDB, Couchbase and CouchDB. We will compare them using the OSSpal methodology and the YCSB framework in a quantitative and qualitative matter. Also, we will cover the basics of NoSQL and its types, how it scales.
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Acknowledgement
“This work is funded by National Funds through the FCT - Foundation for Science and Technology, IP, within the scope of the project Ref UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD), the Polytechnic of Viseu for their support.”
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Martins, P., Morgado, F., Wanzeller, C., Sá, F., Abbasi, M. (2021). MongoDB, Couchbase, and CouchDB: A Comparison. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1366. Springer, Cham. https://doi.org/10.1007/978-3-030-72651-5_45
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