#7070th of 173 in Backends, databases and hosting
tdengine
Distributed time-series database for IoT and industrial data, written in C
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- Stars
- 25.2k
- License
- AGPL-3.0
- Last commit
- Nov 2026
- Last release
- Nov 2026
- Language
- C
Missed the latest GitHub check; these facts may be older.
Overview
TDengine is a time-series database with built-in caching, stream processing and data subscription, aimed at IoT, connected-car and industrial workloads. It uses super tables, time-based partitioning and Raft-based clustering, and includes the TDgpt component for forecasting and anomaly detection. This README mainly covers building from source, producing taosd, the taos CLI, taosBenchmark and taosdump.
Who it is for: Engineers storing and querying IoT or industrial sensor time-series data
Strengths
- Built-in caching, stream processing and data subscription in one server
- Native clustering with sharding, Raft and compute/storage separation
- TDgpt adds forecasting, anomaly detection, imputation and classification
- Ships CLI, taosBenchmark and taosdump tools alongside the taosd server
Weaknesses
- AGPL-3.0 license restricts use in closed-source network services
- S3 support is switched off in community builds
- taoskeeper, taos-explorer, taosx and connectors live in other repositories
- Windows support in the open-source tree is limited
What it needs
- RAM ≥ 4 GB
- no GPU
- Needs CMake 3.21+, Python 3 (tests), Go 1.23+ (taosAdapter, taosKeeper)
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