AI-Driven Data Platform for the Industrial IoT
TDengine™, built on a high-performance time-series database and enriched with business semantics and context, not only stores massive amounts of data efficiently, but also intelligently detects application scenarios, automatically generates dashboards, reports, and real-time analysis tasks, and empowers you with a industrial AI agent for operational insights.
Trusted by over 500 industrial companies worldwide
Why TDengine?
AI-Ready Data Platform
TDengine connects to sources like OPC, MQTT, and Kafka with built-in ETL for cleaning and transforming data. Its tree hierarchy, reusable templates, and rich metadata bring contextualization and standardization to your data and help you prepare your business for AI-driven innovation.
Learn more10x Performance at 10% Cost
TDengine is built for time-series data, with a specialized storage engine that outperforms general-purpose databases in data ingestion, querying, and compression. Its efficient architecture with automated tiered storage and S3 support minimizes data footprint and significantly reduces your storage costs.
From Raw Data to Real-Time Insight
TDengine supports standard SQL and a rich set of time-series functions, with a built-in stream processing engine for millisecond-level analytics. AI agent TDgpt enables forecasting and anomaly detection in a single SQL statement, powered by machine learning and time-series foundation models.
Zero-Query Intelligence, Let Your Data Speak
TDengine understands your business context and automatically generates dashboards, reports, and real-time analyses without requiring manual setup or domain expertise. Our AI agent pushes relevant insights directly to you, making advanced data analytics accessible to everyone.
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Open Ecosystem, Unlimited Connectivity
TDengine is built on an open-source core and integrates with a rich ecosystem of third-party BI, AI, and other products over open interfaces. It supports industrial protocols like MQTT and OPC, making it easy to unify data across systems and sites, and ensures you stay free to build and scale without vendor lock-in.
Open ecosystemTDengine Architecture
TDengine consists of two independent products seamlessly integrated:
TDengine TSDB can independently connect to various data sources and interface with other applications through JDBC, ODBC, and REST APIs.
In the future, TDengine IDMP will be able to connect to a wide range of third-party databases as well as TDengine TSDB.
Modern Solutions for Industrial Applications
Predictive Maintenance
TDengine provides a high-performance data foundation for predictive maintenance, enabling faster detection of failure trends, reducing unplanned downtime, and improving maintenance planning across systems.
Condition Monitoring
TDengine collects and analyzes operational data in real time, helping detect early signs of failure, trigger timely alerts, and extend the lifespan of critical assets through data-driven maintenance decisions.
Operational Efficiency
TDengine improves operational efficiency by reducing delays, eliminating data bottlenecks, and enabling real-time decision-making to support continuous improvement across complex environments.
Data Encryption
Role-based Access Controls
IP Whitelisting
Data Backup & Restoration
Disaster Recovery
24/7 Support
Security & Compliance
Learn MoreProudly Open Source
TDengine TSDB-OSS, a fully open-source time-series database that includes clustering capabilities, serves as the foundation for all our paid offerings. Along with our vibrant open-source community, TDengine TSDB-OSS continues to innovate in the field of time-series data management.
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Latest Updates
This article compares TDengine and PI System to help you make informed decisions about your data management strategy.
Compare PI System with TDengine
by Jeff Tao
August 28, 2025
Try TDengine today and experience a industrial data platform that helps you go digital without hurting your bottom line.
Modern Pricing for Modern Industrial Data
by Jim Fan
August 27, 2025
This article uses an industrial boiler system monitoring scenario as an example to explain how you can collect critical metrics in KEPServerEX and use them in TDengine.
TDengine IDMP in Action: Industrial Boilers and Kepware
by Joel Brass
August 21, 2025
Virtual tables let you define custom logical views over existing tables, making queries and analytics flexible without affecting underlying data.
TDengine Innovations: Virtual Table
by Jeff Tao
August 20, 2025
The supertable is a concept introduced by TDengine that enables aggregation operations across tables and makes your time-series database easier to manage.
TDengine Innovations: Supertable
by Jeff Tao
August 19, 2025
This article shows how to use TDengine IDMP to generate AI-powered insights for data center monitoring.
TDengine IDMP in Action: Data Center Monitoring
by Joel Brass
August 15, 2025
This article presents an example scenario simulating a microgrid system with wind power, solar power, and energy storage assets.
TDengine IDMP in Action: Microgrid with Sparkplug B
by Joel Brass
August 13, 2025
TDengine TSDB, Ontop, and the domain expertise of Siemens, AIT, and TCG UNITECH combine to deliver a complete solution for industrial AI.
Enabling Industrial AI: How Siemens and AIT Leverage TDengine and Ontop to Help TCG UNITECH Boost Productivity and Efficiency
by Jim Fan
August 12, 2025
TDengine is excited to announce support for connecting TDengine TSDB with Ontop as well as a partnership with Ontopic.
TDengine Introduces Integration with Ontop
by Jim Fan
August 12, 2025
