Suitability of Influxdb Database for Iot Applications
Mohammad Nasar1, Mohammad Abu Kausar2

1Mohammad Nasar, Department of Computing and Informatics, Mazoon College, Muscat, Sultanate of Oman.
2Mohammad Abu Kausar, Department of Information Systems, University of Nizwa, Nizwa, Sultanate of Oman.

Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1850-1857 | Volume-8 Issue-10, August 2019 | Retrieval Number: J92250881019/2019©BEIESP | DOI: 10.35940/ijitee.J9225.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Large amounts of data are generated every moment by connected objects creating Internet of Things (IoT). IoT isn’t about things; it’s about the data those things create and collect. Organizations rely on this data to provide better user experiences, to make smarter business decisions, and ultimately fuel their growth. However, none of this is possible without a reliable database that is able to handle the massive amounts of data generated by IoT devices. Relational databases are known for being flexible, easy to work with, and mature but they aren’t particularly known for is scale, which prompted the creation of NoSQL databases. Another thing to note is that IoT data is time-series in nature. In this paper we are discussed and compare about top five time-series database like InfluxDB, Kdb+, Graphite, Prometheus and RRDtool.
Keywords: Internet of Things, NoSQL databases, InfluxDB, Kdb+, Graphite, Prometheus, RRDtool.
Scope of the Article: Network Based Applications