# taosdata/TDengine

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

Repository: https://github.com/taosdata/TDengine
Canonical: https://ross.abutalabs.com/products/tdengine
Homepage: https://tdengine.com
Language: C
License: AGPL-3.0
License Family: copyleft
Topics: iot, bigdata, time-series, database, industrial-iot, connected-vehicles, monitoring, tsdb, tdengine, sql, time-series-database, scalability, cluster, metrics, financial-analysis, cloud-native, distributed
Last push: 2026-08-24T21:55:41+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 81, longevity 100
- inputs: {"age_days": 2610, "days_push": 9, "days_rel": 126, "gap_med": 28, "n_releases_24m": 22}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 25090, forks 5017 (observed 2026-08-28T04:11:37.846313+00:00)

## What it is
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
- artifact type: service
- maturity: active
- function: database, streaming, monitoring, analytics, caching
- domain: databases, iot, big-data, time-series, monitoring
- platform: cloud, self-hosted, windows, cpp
- tags: time-series-database, tsdb, industrial-iot, sql, data-historian, mqtt, connected-vehicles, distributed-database, cloud-native, agpl, industrial, linux, docker

## Member repositories
- taosdata/TDengine (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:37.846313+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:06.298509+00:00, confidence not recorded.
  - readme: https://github.com/taosdata/TDengine (fetched 2026-08-28T04:11:37.846313+00:00, sha af1ed7308ead)
  - homepage: https://tdengine.com (fetched 2026-08-29T07:53:27.964862+00:00, sha 9a22264ec865)
  - site_page: https://idmpdocs.tdengine.com/ (fetched 2026-08-29T07:53:27.976396+00:00, sha 3e54a7ee7ee8)
  - site_page: https://docs.tdengine.com (fetched 2026-08-29T07:53:27.968086+00:00, sha b9c83c30a2de)
  - site_page: https://idmpdocs.tdengine.com (fetched 2026-08-29T07:53:27.970680+00:00, sha 3e54a7ee7ee8)
  - site_page: https://tdengine.com/blog (fetched 2026-08-29T07:53:27.978138+00:00, sha 5d12e5523806)
  - site_page: https://tdengine.com/downloads (fetched 2026-08-29T07:53:27.980028+00:00, sha 927927a9c5aa)
  - site_page: https://tdengine.com/webinars (fetched 2026-08-29T07:53:27.981953+00:00, sha 6b196f99342b)
  - site_page: https://tdengine.com/pricing (fetched 2026-08-29T07:53:27.972610+00:00, sha 0bae2d402365)
  - site_page: https://tdengine.com/tsdb/pricing (fetched 2026-08-29T07:53:27.974486+00:00, sha 7e710a3ad2f1)
- Data as of 2026-08-30T08:39:29.467469+00:00.