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On-Premise Internet of Things (IoT) Data Storage: Comparison of Database Management Systems

Gary Wills; Levente Buttyán; Péter Kacsuk; Victor Chang (Hrsg). Proceedings of the 8th International Conference on Internet of Things, Big Data and Security IoTBDS: Prague, Czech Republic; 21 to 23 April 2023. Setúbal: SciTePress 2023 S. 140 - 149

Erscheinungsjahr: 2023

ISBN/ISSN: 978-989-758-643-9

Publikationstyp: Diverses (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: 10.5220/0011851200003482

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Inhaltszusammenfassung


The Internet of Things (IoT) connects millions of devices, leading to the production of vast amounts of data. For such data to be of value, efficient and effective data storage is of utmost importance. In this paper, we present a comparison of on-premise database management systems in the context of the IoT. We perform a market analysis on relational, Not Only SQL (NoSQL), and time-series database systems as well as a requirement analysis in order to comprehensively compare database systems b...The Internet of Things (IoT) connects millions of devices, leading to the production of vast amounts of data. For such data to be of value, efficient and effective data storage is of utmost importance. In this paper, we present a comparison of on-premise database management systems in the context of the IoT. We perform a market analysis on relational, Not Only SQL (NoSQL), and time-series database systems as well as a requirement analysis in order to comprehensively compare database systems based on functional and non-functional criteria. After an initial selection, we compare MySQL, PostgreSQL, Cassandra, MongoDB, InfluxDB, and QuestDB. As a result, we provide a best practice guide to support the decision-making on which database to select for an IoT use case.» weiterlesen» einklappen

  • Big Data
  • Database Management System
  • Internet of Things
  • Time-series Database

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