TimescaleDB
Open-source time series database
From Wikipedia, the free encyclopedia
TimescaleDB is an open-source time series database[3][4][5] developed by Timescale Inc. (renamed "TigerData" on June 17, 2025).[6] It is written in C and extends PostgreSQL.[7][8] TimescaleDB is a relational database[9] and supports standard SQL queries. Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and analysis facilities for data-at-scale.[10]
| TimescaleDB | |
|---|---|
| Developer | Timescale Inc (renamed Tiger Data)[1] |
| Initial release | 1 November 2018 |
| Stable release | 2.24.0
/ 2 September 2025[2] |
| Written in | C |
| Operating system | Cross-platform |
| Type | Time series database |
| License | Apache 2.0 |
| Website | tigerdata.com |
| Repository | https://github.com/timescale/timescaledb |
One of the key features of TimescaleDB is its performance, which has been compared to InfluxDB.[11] Time-based data partitioning via hypertables provides for improved query execution and performance when used for time oriented applications.[12] More granular partition definition is achieved through the use of user defined attributes.[13]
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).[14]
History
Timescale was founded by Ajay Kulkarni (CEO)[15] and Michael J. Freedman (CTO) in response to their need for a database solution to support internet of things workloads.[16]