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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TDengine IDMP in Action
Step-by-step guides show you how to build a complete system from data collection to real-time analysis with TDengine TSDB and TDengine IDMP
Latest Updates
This guide will walk through how to pull data from Wonderware Historian and ingest it into TDengine, either migrating from Wonderware or synchronizing existing data, enabling you to modernize your architecture without disrupting existing operations.
Ingest Data from Wonderware Historian
by Arun Arulraj
November 25, 2025
TDengine’s new Wonderware connector overcomes the performance limitations of Wonderware Historian and centralizes data from multiple sites.
Modernize Your Wonderware Sites with TDengine
by Jeff Tao
November 24, 2025
By eliminating ambiguity and enforcing shared definitions, IDMP gives industrial teams a clean, consistent foundation for analysis, optimization, and AI-driven decision-making.
Understanding Industrial Data Standardization
by Arun Arulraj
November 19, 2025
From energy optimization to predictive maintenance, from real-time dashboards to AI-driven analysis, every industrial initiative depends on one thing: whether the data carries the right context.
Understanding Industrial Data Contextualization
by Arun Arulraj
November 18, 2025
By modeling complex operational data into a contextual digital catalog, TDengine IDMP enables industrial enterprises to move from reactive monitoring to proactive intelligence.
Understanding Industrial Data Modeling
by Arun Arulraj
November 17, 2025
TDengine’s AI-native architecture turns raw data into real-time intelligence.
AI Readiness: TDengine vs. PI System
by Jeff Tao
November 6, 2025
Once your time-series data is trapped in a proprietary ecosystem, every migration, integration, or upgrade becomes a challenge.
Vendor Lock-In and Data Freedom: TDengine vs. PI System
by Jeff Tao
November 6, 2025
TDengine offers a true “run-anywhere” model: one engine, one experience, on-premises or in the cloud.
Cloud Experience: TDengine vs. PI System
by Arun Arulraj
November 6, 2025
By combining enterprise-grade performance with a transparent cost structure, TDengine has become an ideal choice for teams looking to modernize their data architecture at an affordable price.
Pricing Comparison: TDengine vs. PI System
by Jim Fan
November 4, 2025
