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TDengine: AI-Native Data Platform for the Industrial IoT

Jeff Tao

October 28, 2025 /

In today’s world of connected devices and intelligent systems, industrial enterprises face an urgent challenge: turning massive, fragmented data streams into real-time insight. Traditional databases and data historians simply can’t keep up with the scale, diversity, and velocity of industrial data.

TDengine was built for this new era. As an AI-native data platform for the Industrial Internet of Things (IIoT), it unifies data collection, storage, analysis, and intelligent insight in one powerful, cost-efficient system.

From Raw Data to AI-Ready Intelligence

TDengine seamlessly aggregates multi-source industrial data while cleaning, standardizing, and contextualizing it into a consistent data catalog. This foundation transforms isolated data silos into an AI-ready asset that powers analytics, visualization, and decision-making without complex integration or coding.

10× Performance, 90% Lower Cost

At the core of TDengine is its next-generation time-series storage engine. Designed for real-time industrial workloads, it delivers 10× faster writes and queries while cutting storage costs by up to 90%. Its distributed architecture scales horizontally to billions of data points, making it ideal for manufacturing, energy, transportation, and connected devices at any scale.

Built-In AI, Stream Processing, and Zero-Query Insight

TDengine TDgpt brings predictive analytics, anomaly detection, and intelligent diagnostics directly into the database, accessible with a single SQL command. Its built-in stream engine processes live data at millisecond latency, while its zero-query intelligence feature, powered by LLMs, automatically generates dashboards and reports without the user needing to write a single query.

Open, Secure, and Enterprise-Ready

With an open-source core, standard SQL compatibility, and integration with tools like Grafana, Power BI, and Flink, TDengine offers complete freedom from vendor lock-in. It’s built for enterprise reliability with full encryption, role-based access control, and high-availability clustering.

Transforming Industrial Data Across Industries

From steel and power to pharmaceuticals and smart cities, over 500 global enterprises rely on TDengine to monitor operations, optimize processes, and enable real-time decision-making. With more than 880,000 installations worldwide, TDengine has become the trusted foundation for AI-driven industrial transformation.

Ready to see what AI-native industrial data management looks like?

Download our white paper to explore the complete architecture, benchmark results, and real-world applications of TDengine.

  • Jeff Tao

    With over three decades of hands-on experience in software development, Jeff has had the privilege of spearheading numerous ventures and initiatives in the tech realm. His passion for open source, technology, and innovation has been the driving force behind his journey.

    As one of the core developers of TDengine, he is deeply committed to pushing the boundaries of time series data platforms. His mission is crystal clear: to architect a high performance, scalable solution in this space and make it accessible, valuable and affordable for everyone, from individual developers and startups to industry giants.