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.
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.
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.
Trusted by Developers from Startups to Giants
Over 100k running instances and 18k Github Stars
Why Do Developers Choose TDengine Time Series Database?
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
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 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.
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.
Internet of Things
Smart hardware, connected equipment, smart homes, smart cities, smart water
Smart manufacturing, process industry, production digitization, digital twin
IDC, host, virtual machine, network device, container, micro service monitoring
TBox data, battery management system, autonomous driving, fleet management
Clean energy, power distribution, smart meters, energy management
Stock, securities and crypto market data