Research Paper (undergraduate) from the year 2015 in the subject
Engineering - Industrial Engineering and Management, grade: 1,0,
Technical University of Berlin (Wirtschaftsinformatik - Information
Systems Engineering (ISE)), course: Seminar: Hot Topics in Information
Systems Engineering, language: English, abstract: During the last years
NoSQL databases have been developed to ad-dress the needs of tremendous
performance, reliability and horizontal scalability. NoSQL time series
databases (TSDBs) have risen to combine valuable NoSQL properties with
characteristics of time series data encountering many use-cases.
Solutions offer the efficient handling of data volume and frequency
related to time series. Developers and decision makers struggle with the
choice of a TSDB among a large variety of solutions. Up to now no
comparison exists focusing on the specific features and qualities of
those heterogeneous applications. This paper aims to deliver two
frameworks for the comparison of TSDBs, firstly with a focus on features
and secondly on quality. Furthermore, we apply and evaluate the
frameworks on up to seven open-source TSDBs such as InfluxDB and
OpenTSDB. We come to the result that the investigated TSDBs differ
mainly in support- and extension related points. They share
performance-enhancing techniques, time-related query capabilities and
data schemas optimized for the handling of time-series data.
