taosdata/TDengine
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 99
- Release rhythm 81
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 28
- age_days: 2610
- days_rel: 126
- days_push: 9
- n_releases_24m: 22
Adoption not part of the score
25090 stars · 5017 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TDengine is an open-source, cloud-native time-series database (TSDB) written in C, purpose-built for IoT, connected vehicles, industrial IoT, finance, and IT operations workloads. It combines high-performance ingestion, SQL querying, built-in caching, stream processing, and data subscription in a single platform, with an accompanying AI-native industrial data management layer (IDMP).
Use cases
- store and query sensor telemetry from millions of IoT devices
- replace a legacy data historian like the PI System
- ingest high-volume industrial time-series data over MQTT
- monitor connected vehicle fleet data in real time
- build dashboards and anomaly detection for factory equipment
- run a clustered time-series database for PB-scale metrics
- analyze financial tick data with SQL
When to choose
- you need extreme write/query performance for high-cardinality sensor data
- you want an integrated TSDB with caching, streaming, and subscriptions out of the box
- you are modernizing an industrial data historian
- you need horizontal scaling with clustering for time-series workloads
When to avoid
- your data is relational with complex joins across entities rather than time-series
- you need a permissively licensed database (core is AGPL-3.0, enterprise features are paid)
- your team prefers a widely adopted ecosystem like InfluxDB or TimescaleDB with broader community tooling
- you only need a small embedded time-series store
Facets
service · maturity active
database streaming monitoring analytics caching databases iot big-data time-series monitoring cloud self-hosted windows cpp time-series-database tsdb industrial-iot sql data-historian mqtt connected-vehicles distributed-database cloud-native agpl industrial linux docker
10 sources
- readme: https://github.com/taosdata/TDengine · fetched 2026-08-28 · af1ed7308ead
- homepage: https://tdengine.com · fetched 2026-08-29 · 9a22264ec865
- site_page: https://idmpdocs.tdengine.com/ · fetched 2026-08-29 · 3e54a7ee7ee8
- site_page: https://docs.tdengine.com · fetched 2026-08-29 · b9c83c30a2de
- site_page: https://idmpdocs.tdengine.com · fetched 2026-08-29 · 3e54a7ee7ee8
- site_page: https://tdengine.com/blog · fetched 2026-08-29 · 5d12e5523806
- site_page: https://tdengine.com/downloads · fetched 2026-08-29 · 927927a9c5aa
- site_page: https://tdengine.com/webinars · fetched 2026-08-29 · 6b196f99342b
- site_page: https://tdengine.com/pricing · fetched 2026-08-29 · 0bae2d402365
- site_page: https://tdengine.com/tsdb/pricing · fetched 2026-08-29 · 7e710a3ad2f1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| taosdata/TDengine | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="taosdata/TDengine")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem