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The Multi-model Databases – A Review

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Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation (BDAS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 716))

Abstract

The following paper presents issues considering multi-model databases. A multi-model database can be understood as a database which is capable of storing data in different formats (relations, documents, graphs, objects, etc.) under one management system. This makes it possible to store related data in a most appropriate (dedicated) format as it comes to the structure of data itself and the processing performance. The idea is not new but since its rising in late 1980s it was not successfully and widely put into practice. The realm of storing and retrieving the data was dominated by the relational model. Nowadays this idea becomes again up-to-date because of the growing popularity of NoSQL movement and polyglot persistence. This article attempts to show the state-of-the-art in multi-model databases area and possibilities of this reconditioned idea.

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Notes

  1. 1.

    JSON - JavaScript Object Notation.

  2. 2.

    Java Persistence API.

  3. 3.

    Java Data Objects.

  4. 4.

    http://db-engines.com/en/ranking.

  5. 5.

    As of 30 January 2017.

  6. 6.

    https://snap.stanford.edu/data/soc-pokec.html.

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Acknowledgement

This work was funded by statutory research of Faculty of Automatic Control, Electronics and Computer Science of Silesian University of Technology.

Author information

Authors and Affiliations

  1. Institute of Computer Science, Silesian Technical University, Akademicka 16, 44-100, Gliwice, Poland

    Ewa Płuciennik & Kamil Zgorzałek

Authors
  1. Ewa Płuciennik
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  2. Kamil Zgorzałek
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Corresponding author

Correspondence to Ewa Płuciennik .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Płuciennik, E., Zgorzałek, K. (2017). The Multi-model Databases – A Review. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-58274-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58273-3

  • Online ISBN: 978-3-319-58274-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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