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Efficiency of NoSQL Databases under a Moderate Application Load

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Databases in Networked Information Systems (DNIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8999))

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Abstract

Consider the fact, that the concepts of NoSQL databases have been developed and recently, big Internet companies such as Google, Amazon, Yahoo!, and Facebook are using NoSQL databases. Although the primary focus of NoSQL databases is to deal with huge volume of heterogeneous data, these can also be suited for handling moderate volume of data, especially if the data are heterogeneous and there are frequent changes in data. Considering this we consider the development and implementation of an application with moderate volume of heterogeneous data using a NoSQL database. We perform comparative performance analysis with a relational database system. The experimental evaluations show that NoSQL databases are also often suitable for handling moderate volume of data.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh

    Mohammad Shamsul Arefin & Khondoker Nazibul Hossain

  2. Graduate School of Engineering, Hiroshima University, Japan

    Yasuhiko Morimoto

Authors
  1. Mohammad Shamsul Arefin
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  2. Khondoker Nazibul Hossain
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  3. Yasuhiko Morimoto
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Editor information

Editors and Affiliations

  1. Database Systems Laboratory, University of Aizu, 965-8580, Japan

    Wanming Chu , Shinji Kikuchi  & Subhash Bhalla ,  & 

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© 2015 Springer International Publishing Switzerland

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Arefin, M.S., Hossain, K.N., Morimoto, Y. (2015). Efficiency of NoSQL Databases under a Moderate Application Load. In: Chu, W., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2015. Lecture Notes in Computer Science, vol 8999. Springer, Cham. https://doi.org/10.1007/978-3-319-16313-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-16313-0_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16312-3

  • Online ISBN: 978-3-319-16313-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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