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NoSQL (Not Structured Query Language)

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Encyclopedia of Big Data

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Synonyms

Big Data; Big Data analytics; Column-based database; Document-oriented database; Key-value-based database

Introduction

Rapidly growing humongous amount of data must be stored into a database. NoSQL is increasingly used in order to store Big Data. NoSQL systems are also called “not only SQL” or “not relational SQL” to emphasize that they may also support SQL query but more than that. Moreover, a NoSQL data store is able to accept all types of data – structured, semi-structured, and unstructured – much more easily than a relational database. For applications that have a mixture of datatypes, a NoSQL database is a good option. Performance factors come into play with an RDBMS’ data model, especially where “wide rows” are involved and update actions are many. However, a NoSQL data model such as Google’s Bigtable easily handles both situations and delivers very fast performance for both read and write operations. NoSQL database addresses the following opportunities (Cattell 2011):

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Further Readings

  • Cattell, R. (2011). Scalable SQL and NoSQL data stores. Acm Sigmod Record, 39(4), 12–27. Stonebraker, M. (2010). SQL databases v. NoSQL databases. Communications of the ACM, 53(4), 10–11.

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  • Han, J., Haihong, E., Le, G., Du, J. (2011), October. Survey on NoSQL database. In Pervasive computing and applications (ICPCA), 2011 6th international conference on (pp. 363–366). IEEE.

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  • Moniruzzaman, A. B. M., & Hossain, S. A. (2013). NoSQL database: New era of databases for big data analytics – Classification, characteristics and comparison. International Journal of Database Theory and Application., 6(4), 1–14.

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Author information

Authors and Affiliations

  1. Computer Scientist, Information Technology Laboratory, US Army Engineer Research and Development Center, Vicksburg, 39180, MS, USA

    Rajeev Agrawal

  2. Department of Computer Science & Engineering, University of Texas at Arlington, Arlington, TX, 76010, USA

    Ashiq Imran

Authors
  1. Rajeev Agrawal
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  2. Ashiq Imran
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Corresponding author

Correspondence to Rajeev Agrawal .

Editor information

Editors and Affiliations

  1. School of Policy, Government and International Affairs, George Mason University, Fairfax, Virginia, USA

    Laurie A. Schintler

  2. School of Policy, Government and International Affairs, George Mason University, Fairfax, Virginia, USA

    Connie L. McNeely

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© 2017 Springer International Publishing AG

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Agrawal, R., Imran, A. (2017). NoSQL (Not Structured Query Language). In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_150-2

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_150-2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

  • eBook Packages: Springer Reference Business and ManagementReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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Chapter history

  1. Latest

    NoSQL (Not Structured Query Language)
    Published:
    29 August 2017

    DOI: https://doi.org/10.1007/978-3-319-32001-4_150-2

  2. Original

    NoSQL (Not Structured Query Language)
    Published:
    14 June 2017

    DOI: https://doi.org/10.1007/978-3-319-32001-4_150-1

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