High-Performance, Scalable Time‑Series Database with SQL Support

Enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine can be widely applied to IoT, Industrial Internet, Connected Vehicles, DevOps, Energy , Finance and many other use-cases.

High Performance

TDengine’s innovative design and purpose-built storage engine outperforms other time-series databases for data ingestion, querying and data compression while significantly reducing storage and computing costs.


TDengine’s native distributed architecture powers out-of-the-box scalability and high availability. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source.

SQL Support

TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion.

Why Do Developers Choose TDengine Time Series Database? 

High performance, scalability, and SQL support

Open-source database
Open Source

TDengine’s core modules, including cluster feature, are all available under open source licenses. It has 17.8k stars on GitHub and an active developer community.

All in one database
All in One

With built-in caching, stream processing and data subscription functions, TDengine can work as a big data platform in many scenarios to reduce complexity and cost.

Zero Management
Zero Management

Installation and cluster setup can be done in seconds. TDengine’s running status can be monitored via Grafana or other DevOps tools. 

Zero Learning Cost
Zero Learning Cost

With SQL as the query language, support for ubiquitous tools like Python, Java, C/C++, Go, Rust, Node.js connectors, there is zero learning cost.

Seamless Integration
Seamless Integration

Without a single line of code, TDengine provide seamless integration with third-party tools such as Telegraf, Grafana, EMQ X, Prometheus, StatsD, collectd, etc. 

Interactive Console
Interactive Console

TDengine Time Series Database provides convenient console access to the database to run ad hoc queries, maintain the database, or manage the cluster without any programming.

Usage Scenarios

Internet of Things

Smart hardware, connected equipment, smart homes, smart cities, smart water

Industrial Internet

Smart manufacturing, process industry, production digitization, digital twin


IDC, host, virtual machine, network device, container, micro service monitoring

Time Series Database Geological Disaster Prediction and Monitoring Platform
Connected Vehicles

TBox data, battery management system, autonomous driving, fleet management


Clean energy, power distribution, smart meters, energy management


Stock, securities and crypto market data

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