TimescaleDB
| Developer(s) | Timescale Inc |
|---|---|
| Initial release | 1 November 2018 |
| Stable release | 2.4.0
/ 3 August 2021[1] |
| Repository | https://github.com/timescale/timescaledb |
| Written in | C |
| Engine | |
| Operating system | Cross-platform |
| Type | Time series database |
| License | Apache 2.0 |
| Website | timescale.com |
Search TimescaleDB on Amazon.
TimescaleDB is an open-source time series database developed by Timescale Inc. It is written in C and extends PostgreSQL.[2] TimescaleDB supports standard SQL queries and is a relational database.[3] Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and analysis facilities for data-at-scale.[4] Time-based data partitioning provides for improved query execution and performance when used for time oriented applications.[5] More granular partition definition is achieved through the use of user defined attributes.[6]
TimescaleDB is offered as open source software under the Apache 2.0 license. Additional features are offered in a community edition as source available software under the Timescale License Agreement (TLS).[7]
History[edit]
Timescale was founded by Ajay Kulkarni (CEO) and Michael J. Freedman (CTO) in response to their need for a database solution to support internet of things workloads.[8]
References[edit]
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This article "TimescaleDB" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:TimescaleDB. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
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- ↑ "TimescaleDB v2.4.0 release notes". Retrieved 4 August 2021.
- ↑ Grzesik, Piotr; Mrozek, Dariusz (2020-05-25). "Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks". Computational Science – ICCS 2020. Lecture Notes in Computer Science. 12141: 371–383. doi:10.1007/978-3-030-50426-7_28. ISBN 978-3-030-50425-0. PMC 7302557 Check
|pmc=value (help). - ↑ Struckov, Alexey; Yufa, Semen; Visheratin, Alexander A.; Nasonov, Denis (2019-01-01). "Evaluation of modern tools and techniques for storing time-series data". Procedia Computer Science. 156: 19–28. doi:10.1016/j.procs.2019.08.125. ISSN 1877-0509.
- ↑ "High Volume Space Exploration Time-Series Data Storage in PostgreSQL". InfoQ. Retrieved 2021-08-04.
- ↑ Martin, Steven J. (2018-09-01). "Cray Advanced Power Management Updates" (PDF). CUG Proceedings 2018. Retrieved 2021-08-04. Unknown parameter
|url-status=ignored (help) - ↑ Jinka, Preetam (2018-12-05). "Time Series at ShiftLeft". Medium. Retrieved 2021-08-04.
- ↑ "TimescaleDB License Agreement". 2020-09-24. Retrieved 2021-08-09. Unknown parameter
|url-status=ignored (help) - ↑ "A scalable time-series database that supports SQL". O'Reilly Data Show Podcast. 2017-06-22. Retrieved 2021-08-09. Unknown parameter
|url-status=ignored (help)
