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NoSQL Database Classification: New Era of Databases for Big Data

Author

Listed:
  • Biswaranjan Acharya

    (School of Computer Engineering, KIIT University, Bhubaneswar, India)

  • Ajaya Kumar Jena

    (School of Computer Engineering, KIIT University, Bhubaneswar, India)

  • Jyotir Moy Chatterjee

    (Department of Computer Science and Engineering, GD-RCET, Bhilai, India)

  • Raghvendra Kumar

    (Department of Computer Science and Engineering, LNCT College, Bhopal, India)

  • Dac-Nhuong Le

    (Faculty of Information Technology, Haiphong University, Haiphong, Vietnam)

Abstract

The rapid growth in the digital world in form of exponentiation to accommodate huge amount of structured, semi-structured, unstructured and hybrid data received from different sources. By using the conventional data management tools, it is quite impossible to manage this semi-structured and unstructured data for which a non-relational database management system such as NoSQL and NewSQL are used to handle such types of data. These types of semi-structured and structured data are generally considered ‘Big Data.' This article describes the basic characteristics, background and the models of NoSQL used for big data applications. In this work, the authors surveyed different NoSQL characteristics used by the researchers and try to compare the strength and weakness of different NoSQL databases.

Suggested Citation

  • Biswaranjan Acharya & Ajaya Kumar Jena & Jyotir Moy Chatterjee & Raghvendra Kumar & Dac-Nhuong Le, 2019. "NoSQL Database Classification: New Era of Databases for Big Data," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 9(1), pages 50-65, January.
    • Handle: RePEc:igg:jkbo00:v:9:y:2019:i:1:p:50-65
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