Is TDengine free to use? What license does it have?

TDengine is open source under the AGPL-3.0 license. Check the license terms before using it in commercial products.

Is TDengine still maintained?

Actively maintained. The last commit to TDengine was on Oct 21, 2026.

What can I use TDengine for?

Collecting and querying sensor data from industrial equipment. Storing telemetry from connected vehicles. Monitoring metrics and time-stamped data at large scale. Running real-time analysis and anomaly detection on IoT streams.

How do I install TDengine?

Clone the repository: git clone https://github.com/taosdata/TDengine.git Install build tools on Ubuntu/Debian: sudo apt-get install -y build-essential cmake git Create a build directory and configure the first build (downloads dependencies): mkdir debug && cd debug && cmake .. -DBUILD_CONTRIB=ON Compile TDengine: make -j$(nproc)

Where can I get TDengine?

The source code and installation instructions are on GitHub: https://github.com/taosdata/TDengine

taosdata/TDengine

Open-source, high-performance time-series database for IoT, connected cars and industrial IoT workloads, with SQL querying.

Open-source alternative to:InfluxDB

View on GitHub Website

Stars: 25,167
Forks: 5,015
Open issues: 444
Last commit: 4 days ago

What is it?

TDengine is a time-series database aimed at IoT, connected vehicles and industrial IoT, where billions of sensors and data collectors generate data continuously. It is designed for high-throughput ingestion, real-time processing and analysis of large volumes of time-stamped data.

The project covers built-in caching, stream processing, data subscription, super tables for grouping collection points, and a built-in AI agent component called TDgpt for forecasting and anomaly detection. It supports native distributed deployment with sharding, partitioning and RAFT-based consensus, and can be run in containers or on Kubernetes.

The repository contains the server daemon taosd, the taos command-line client, and build tooling with CMake, along with a Python-based test framework. Official installation packages, Docker images and a managed cloud service are also available.

Key features

01Stores and queries time-series data with SQL.
02Uses super tables to manage large numbers of collection points.
03Provides built-in caching, stream processing and data subscription.
04Supports distributed clustering with sharding and RAFT.
05Includes the TDgpt AI component for forecasting and anomaly detection.
06Runs on Linux and macOS, with container and Kubernetes deployment options.

Use cases

Collecting and querying sensor data from industrial equipment.
Storing telemetry from connected vehicles.
Monitoring metrics and time-stamped data at large scale.
Running real-time analysis and anomaly detection on IoT streams.

Quick start

1
Clone the repository
git clone https://github.com/taosdata/TDengine.git
2
Install build tools on Ubuntu/Debian
sudo apt-get install -y build-essential cmake git
3
Create a build directory and configure the first build (downloads dependencies)
mkdir debug && cd debug && cmake .. -DBUILD_CONTRIB=ON
4
Compile TDengine
make -j$(nproc)

Things to know

Primarily built and tested on Linux; Windows support in the open-source tree is limited.
Licensed under AGPL-3.0, a copyleft license that requires sharing modified source for network use.
Running from source requires CMake 3.21+ and a first build that downloads and compiles external dependencies.

In collections

Databases & SQL tools Microservice frameworks & service infrastructure

Topics

#time-series-database #iot #industrial-iot #sql #distributed #database #cloud-native #bigdata #cluster #connected-vehicles

FAQ

What is TDengine?: Open-source, high-performance time-series database for IoT, connected cars and industrial IoT workloads, with SQL querying. TDengine is a time-series database aimed at IoT, connected vehicles and industrial IoT, where billions of sensors and data collectors generate data continuously. It is designed for high-throughput ingestion, real-time processing and analysis of large volumes of time-stamped data.
Is TDengine free to use? What license does it have?: TDengine is open source under the AGPL-3.0 license. Check the license terms before using it in commercial products.
Is TDengine still maintained?: Actively maintained. The last commit to TDengine was on Oct 21, 2026.
What can I use TDengine for?: Collecting and querying sensor data from industrial equipment. Storing telemetry from connected vehicles. Monitoring metrics and time-stamped data at large scale. Running real-time analysis and anomaly detection on IoT streams.
How do I install TDengine?: Clone the repository: git clone https://github.com/taosdata/TDengine.git Install build tools on Ubuntu/Debian: sudo apt-get install -y build-essential cmake git Create a build directory and configure the first build (downloads dependencies): mkdir debug && cd debug && cmake .. -DBUILD_CONTRIB=ON Compile TDengine: make -j$(nproc)
Where can I get TDengine?: The source code and installation instructions are on GitHub: https://github.com/taosdata/TDengine

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