TDengine

TDengine is a next-generation data historian purpose-built for Industry 4.0 and Industrial IoT. It offers two main products: TDengine Enterprise and TDengine Cloud. TDengine supports real-time data ingestion, storage, analysis, and distribution of petabytes per day, helping traditional industries achieve digital transformation and improve operational efficiency. The platform centralizes, stores, analyzes, and shares massive amounts of industrial data, supporting integration with PI System, Wonderware Historian, MQTT, OPC, and other industrial data sources. TDengine provides built-in stream processing, caching, and data subscription components and is open-source software licensed under the AGPLv3. It supports standard SQL with extensions for time-series data analysis and includes client libraries for popular programming languages such as Python, Java, Go, and C++.

TDengine offers a fully managed cloud service for industrial data workflows and supports deployment on the edge, on a local server, or in a public, private, or hybrid cloud. Its high-performance, scalable time-series database features a unique storage engine optimized for time-series data. The data model includes concepts like ‘one table for one data collection point’ and ‘super table’, and supports tiered storage for different media based on access frequency. Advanced analytics capabilities include remote monitoring, predictive maintenance, and abnormality detection. TDengine integrates with third-party visualization and business intelligence tools like Grafana, Power BI, and Seeq, and its open ecosystem allows for easy integration with AI tools and other modern technologies. The platform provides fine-grained access controls for secure and controlled data distribution, and its cloud-native architecture ensures scalability, elasticity, and resilience for handling large datasets.