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.
Data Management Challenges in the AI Era
Industrial and IoT systems produce massive, complex datasets — but much of that data remains fragmented, inconsistent, and difficult to use. Enterprises face challenges with data silos, inconsistent standards, missing context, and the lack of real-time analytics.
TDengine reimagines this foundation by making industrial data unified, contextualized, and AI-ready from the start.
TDengine Architecture
TDengine combines two core components:
- TDengine TSDB, a high-performance, scalable time-series database for the industrial IoT.
- TDengine IDMP, an AI-native industrial data management platform built on top of TSDB.
Together, they form a complete stack for data ingestion, storage, analytics, and intelligent decision-making — replacing traditional historians with a unified, scalable solution.
AI-Ready: Efficient Aggregation and Management of Multi-Source Data
TDengine connects directly with industrial data sources such as OPC, MQTT, Kafka, and SQL databases. Its built-in ETL, data catalog, and contextual modeling features standardize naming, units, and structures, creating a foundation that’s ready for advanced AI analytics and automated insights.
High-Efficiency Storage: Over 10× Performance Improvement
Purpose-built for time-series workloads, TDengine achieves 10× faster writes and queries while reducing storage costs by up to 90%. With its “one device per table” architecture, supertables, and virtual tables, it handles billions of data points efficiently — scaling horizontally without performance loss.
From Raw Data to Real-Time Insights
TDengine integrates stream processing, standard SQL analytics, and its built-in AI agent TDgpt, which provides time-series forecasting, anomaly detection, and imputation capabilities. With millisecond-level responsiveness, TDengine turns raw data into actionable insights instantly.
Zero-Query Intelligence: Let Data Speak for Itself
TDengine goes beyond traditional dashboards and Chat BI: its zero-query intelligence, powered by LLMs, automatically generates dashboards, reports, and real-time analysis tasks without requiring users to ask questions or write queries. This shifts the data consumption paradigm from pull to push, making insights accessible to everyone.
Open System: Connect Everything, Avoid Lock-In
TDengine is open by design, supporting standard SQL, open APIs, and integration with Grafana, Power BI, Flink, Spark, and more. It enables bidirectional data flow through MQTT and Kafka, ensuring interoperability and freedom from vendor lock-in.
Enterprise-Grade Applications
Security, scalability, and reliability are built in. TDengine supports encryption, multi-replica reliability, disaster recovery, and role-based access control. For large-scale deployments, it offers SSO, version control, event notifications, and 24/7 enterprise support.
TDengine Application Scenarios
TDengine is trusted across industries — from manufacturing, energy, and petrochemicals to smart cities, pharmaceuticals, and IT operations. It powers real-time monitoring, predictive maintenance, and process optimization for over 500 enterprise customers and 880,000 installations worldwide.
TDengine Future Outlook
TDengine will continue expanding its AI-native capabilities — supporting more data sources, richer visualization tools, deeper root-cause analysis, and full interoperability with third-party databases.
Its mission remains clear: to make time-series data accessible, affordable, and valuable for every enterprise.
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.
