TDengine is a relational time-series database management system that targets IoT workloads. It supports result caching, message queuing, subscription, and continuous queries over streaming data.
- Website
- https://www.taosdata.com[01]
- Source Code
- https://github.com/taosdata/TDengine[02]
- @TaosData
- Developer
- Country of Origin
- CN
- Start Year
- 2017 [05]
- Project Types
- Commercial, Open Source
- Written in
- C
- Operating System
- Linux
- License
- AGPL v3
TDengine is a relational time-series database management system that targets IoT workloads. It supports result caching, message queuing, subscription, and continuous queries over streaming data.
Data Model[04]
"One table for each data collection point" can ensure the optimal performance of insert and query of a single data collection point to the greatest extent.To support aggregation over multiple tables efficiently, the STable(Super Table) concept is introduced by TDengine.
Citations
5 sources- 时序数据库_实时数据库 - TDengine | 涛思数据 taosdata.com
- GitHub - taosdata/TDengine: High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios · GitHub github.com
- https://www.taosdata.com/en/documentation taosdata.com
- TDengine TSDB Documentation | TDengine TSDB Docs tdengine.com
- TDengine first commit github.com
Revision #5
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