Survey and Comparison of Open Source Time Series Databases
| dc.contributor.author | Bader, Andreas | |
| dc.contributor.author | Kopp, Oliver | |
| dc.contributor.author | Falkenthal, Michael | |
| dc.contributor.editor | Mitschang, Bernhard | |
| dc.contributor.editor | Nicklas, Daniela | |
| dc.contributor.editor | Leymann, Frank | |
| dc.contributor.editor | Schöning, Harald | |
| dc.contributor.editor | Herschel, Melanie | |
| dc.contributor.editor | Teubner, Jens | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Kopp, Oliver | |
| dc.contributor.editor | Wieland, Matthias | |
| dc.date.accessioned | 2017-06-21T11:24:39Z | |
| dc.date.available | 2017-06-21T11:24:39Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Time series data, i.e., data consisting of a series of timestamps and corresponding values, is a special type of data occurring in settings such as “Smart Grids”. Extended analysis techniques called for a new type of databases: Time Series Databases (TSDBs), which are specialized for storing and querying time series data. In this work, we aim for a complete list of all available TSDBs and a feature list of popular open source TSDBs. The systematic search resulted in 83 TSDBs. The twelve most prominent found open source TSDBs are compared. Therefore, 27 criteria in six groups are defined: (i) Distribution/Clusterability, (ii) Functions, (iii) Tags, Continuous Calculation, and Long-term Storage, (iv) Granularity, (v) Interfaces and Extensibility, (vi) Support and License. | en |
| dc.identifier.isbn | 978-3-88579-660-2 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-266 | |
| dc.subject | Time Series Databases | |
| dc.subject | Survey | |
| dc.subject | Comparison | |
| dc.title | Survey and Comparison of Open Source Time Series Databases | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 268 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 249 | |
| gi.conference.date | 6.-10. März 2017 | |
| gi.conference.location | Stuttgart | |
| gi.conference.sessiontitle | Scalable Cloud Data Management Workshop (SCDM 2017) |
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