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
Considering the ever-increasing value of data as an operational asset, the IDMP is now an essential component of the data infrastructure for industrial enterprises in all sectors and of all sizes.
What Is an Industrial Data Management Platform and Why Do Enterprises Need One?
by Jeff Tao
January 19, 2026
TDengine is excited to announce that Visione Group has joined the TDengine Reseller Program as a value-added reseller (VAR).
TDengine Expands Reseller Network with Visione Group to Support Data-Driven Industrial Operations
by TDengine Team
January 14, 2026
TDengine today announced that Quindoo has joined the TDengine Reseller Program as an official value-added reseller (VAR).
TDengine Welcomes Quindoo as Value-Added Reseller to Expand Industrial Data Solutions in Europe
by TDengine Team
January 8, 2026
The latest updates as of TDengine IDMP 1.0.9.0 are described in this article.
TDengine IDMP 1.0.9.0 Now Available
by TDengine Team
December 19, 2025
Learn how TDengine TSDB played a key role in the construction of a data lake at a major power generator.
Enabling AI-Based Intelligent Inspection: A 60% Reduction in Manual Work with TDengine
by TDengine Team
December 16, 2025
In this walkthrough, we’ll show how to ingest that live MQTT data into TDengine TSDB for high-performance storage and querying, and then use TDengine IDMP to model assets and perform visualization and analytics.
Build Your First Industrial Data Stack with TDengine IDMP
by Arun Arulraj
December 15, 2025
We’re excited to announce the launch of a free, public MQTT data feed that simulates a realistic California solar fleet.
Free Public MQTT Data Feed: Real-Time Solar Fleet Simulation Now Available
by Arun Arulraj
December 11, 2025
By the end of the first month, all 4,000 trackers were streaming data into TDengine Cloud, and the engineering team could query billions of records instantly through TDengine’s Data Explorer or Grafana dashboards.
From 4,000 to 34,000 Trackers: How Nevados Scaled to a 1 GW Solar Fleet with TDengine
by Jim Fan
December 3, 2025
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
