TDengine is a time-series database platform purpose-built for Industry 4.0 and Industrial IoT (IIoT) applications. TDengine enables organizations to ingest, store, analyze, and distribute massive volumes of real-time data—processing petabytes per day from billions of sensors and data collectors.
The core offering is a high-performance, scalable database system designed to make big data more accessible and affordable for industries undergoing digital transformation. TDengine provides efficient data management for time-series workloads, supporting use cases such as equipment monitoring, energy platform analytics, and industrial process optimization. Its platform is tailored for environments where fast data ingestion and analysis are critical, enabling customers to act on large-scale sensor data in real time.
Who uses TDengine?
TDengine serves companies in sectors such as energy, manufacturing, and industrial automation. Notable customers include:
- Mingyang
- Nevados
- Gotion
- Extracellular
- Siemens
- Lotus
These organizations leverage TDengine to power data-driven applications and industrial IoT platforms.
How was TDengine started?
TDengine was founded by a team with extensive expertise in data management and industrial software. Key contributors include Jeff Tao, who authors content on energy monitoring platforms and PI systems; Jim Fan, who writes about scaling energy data management; and Joel Brass, who covers integration with technologies like Apache Flink. The broader TDengine Team is also active in sharing technical knowledge with the community. More about their background can be found on the About page.
What makes TDengine different?
TDengine stands out for its ability to handle industrial-scale time-series data efficiently. It focuses on reducing complexity and cost for organizations that need to process and analyze sensor data at scale, helping drive digital transformation in traditionally data-intensive industries.
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