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Comparative Analysis of Structured and Un-Structured Databases

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 776))

Abstract

The introduction of relational database systems helped in faster transactions compared to the existing system for handling structured data. However, in course of time the cost of storing huge volume of unstructured data became an issue in traditional relational database systems. This is where some unstructured database systems like NoSQL databases were introduced in the domain to store unstructured data. This paper focuses on four different structured(PostgreSQL) and un-structured database systems(MongoDB, OrientDB and Neo4j). In this paper, we will eventually see the different kind of data models they follow and analyze their comparative performances by experimental evidences.

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Authors and Affiliations

  1. Department of Information Technology, Jadavpur University, Kolkata, India

    Madhupa Sanyal, Samiran Chattopadhyay & Kartick Chandra Mondal

  2. School of Mobile Computing, Jadavpur University, Kolkata, India

    Anindita Sarkar Mondal

Authors
  1. Anindita Sarkar Mondal
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  2. Madhupa Sanyal
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  3. Samiran Chattopadhyay
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  4. Kartick Chandra Mondal
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Corresponding author

Correspondence to Kartick Chandra Mondal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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© 2017 Springer Nature Singapore Pte Ltd.

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Mondal, A.S., Sanyal, M., Chattopadhyay, S., Mondal, K.C. (2017). Comparative Analysis of Structured and Un-Structured Databases. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_18

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  • DOI: https://doi.org/10.1007/978-981-10-6430-2_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6429-6

  • Online ISBN: 978-981-10-6430-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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