TDengine
Some data may be outdated — see provenance labels.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios observed · 2026-09-30
Health v2 · maintenance only
90/100
- Activity 97
- Release rhythm 74
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 28.0
- age_days: 2658
- days_rel: 174
- days_push: 21
- n_releases_24m: 21
Adoption not part of the score
25149 stars · 5022 forks observed · 2026-09-30
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97
TDengine is an open‑source, high‑performance time‑series database built for industrial IoT and large‑scale sensor data. It provides built‑in caching, stream processing, and AI‑native analytics for real‑time monitoring and root‑cause analysis.
Use cases
- store and query billions of sensor readings per day for a smart factory
- real‑time monitoring of connected vehicles and fleet telemetry
- historical analysis of energy consumption in a power grid
- high‑frequency financial tick data storage and fast aggregation
- AI‑driven anomaly detection on industrial equipment data streams
When to choose
- you need millisecond‑level ingestion rates for massive time‑series workloads
- your project involves industrial IoT, connected devices, or sensor farms
- you want built‑in AI/ML support for real‑time analytics and root‑cause analysis
- you require a cloud‑native, container‑friendly deployment with low storage overhead
When to avoid
- your data model is relational with complex joins rather than time‑series
- you need a general‑purpose OLTP database with ACID transactions
- you are constrained to a proprietary license that disallows AGPL‑3.0 usage
Facets
application · maturity active
database databases iot big-data analytics windows cloud time-series tsdb industrial-iot high-performance ai-powered real-time-ingestion scalable linux macos docker
10 sources
- readme: https://github.com/taosdata/TDengine · fetched 2026-09-30 · ddfec487e467
- homepage: https://tdengine.com · fetched 2026-09-28 · 51b994ce3f4a
- site_page: https://docs.tdengine.com · fetched 2026-09-28 · b9c83c30a2de
- site_page: https://idmpdocs.tdengine.com · fetched 2026-09-28 · 7b4fb83df121
- site_page: https://idmpdocs.tdengine.com/ · fetched 2026-09-28 · 7b4fb83df121
- site_page: https://tdengine.com/pricing · fetched 2026-09-28 · d0f128ebd05e
- site_page: https://tdengine.com/tsdb/pricing · fetched 2026-09-28 · f7b609b6be73
- site_page: https://tdengine.com/blog · fetched 2026-09-28 · ee46a1f933dc
- site_page: https://tdengine.com/downloads · fetched 2026-09-28 · 732f3961a4a7
- site_page: https://tdengine.com/webinars · fetched 2026-09-28 · 2c092f51bced
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| taosdata/TDengine | main | 90 |
| taosdata/driver-go | sdk | 88 |
| taosdata/grafanaplugin | plugin | 92 |
| taosdata/taos-connector-jdbc | sdk | 96 |
| taosdata/awesome-tdengine | docs | 10 |
| taosdata/taosadapter | infra | 66 |
| taosdata/taos-connector-python | sdk | 85 |
For agents
markdown · JSON · MCP: product_card(name="taosdata/TDengine")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem