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Efficient NoSQL Graph Database for Storage and Access of Health Data

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Computer Communication, Networking and IoT

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 197))

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Abstract

Graph data models are mostly used for storage and access of large, unstructured real-life data generated from real-life applications. The graph data model can be implemented by NoSQL graph databases. In this paper, eight well-known NoSQL graph databases are compared to study their properties. After rigorous review of different research works which are focused on different parametric measures of storage and access, only the best three NoSQL graph databases, Neo4j, OrientDB and ArangoDB, are chosen. The efficiency of these three graph databases is compared based on searching or traversing and querying operations on the databases for storage and access. A particular type of graph, i.e., disease-symptom graph database has been used for this purpose.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Narula Institute of Technology, Kolkata, India

    Safikureshi Mondal

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Nandini Mukherjee

Authors
  1. Safikureshi Mondal
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  2. Nandini Mukherjee
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  3. Department of Signals and Communication, Institute for Technological Development, Las Palmas de Gran Canaria, Spain

    Carlos M. Travieso-Gonzalez

  4. Faculty of Engineering, Universidad Autónoma de Baja California, Mexicali, Baja California, Mexico

    Wendy Flores-Fuentes

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Mondal, S., Mukherjee, N. (2021). Efficient NoSQL Graph Database for Storage and Access of Health Data. In: Bhateja, V., Satapathy, S.C., Travieso-Gonzalez, C.M., Flores-Fuentes, W. (eds) Computer Communication, Networking and IoT. Lecture Notes in Networks and Systems, vol 197. Springer, Singapore. https://doi.org/10.1007/978-981-16-0980-0_14

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  • DOI: https://doi.org/10.1007/978-981-16-0980-0_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0979-4

  • Online ISBN: 978-981-16-0980-0

  • eBook Packages: EngineeringEngineering (R0)

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