Why TDengine Historian?
Proven Industrial-Grade Technology
Built for mission-critical operations, TDengine is trusted by over 1,000 global customers, with the largest production deployment managing more than 50 million tags continuously for over three years.
Case studiesRadically More Affordable
TDengine delivers enterprise-grade historian capabilities at roughly one-third the cost of traditional systems like PI System with no extra charges for visualization, connectors, or add-ins, and no seat limits.
AI-Powered by Design
TDengine is built on an AI-ready platform supporting AI/ML for forecasting and anomaly detection as well as LLM-driven panel and analysis creation, natural-language operational insights, and assisted exploration of industrial data.
Open Ecosystem, No Lock-In
Designed for interoperability and long-term flexibility, TDengine runs across cloud and on-prem environments, integrates easily with existing data stacks, and keeps your data portable and under your control.
Open ecosystemTDengine: Fully Fledged Data Historian
TDengine Historian is composed of two products seamlessly integrated:
More than just a database, TDengine Historian delivers everything a traditional historian provides and more: high-performance time-series storage, industrial data management, contextualization, analytics, events, visualization, and AI.
TDengine in Action
See how TDengine supports real operational scenarios from data collection to analysis across industrial 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.
800,000
Instances
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24,000
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20,000+
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Latest Updates
Leveraging TDengine, Dali Cigarette Factory has implemented comprehensive data collection, storage, and analysis for cigarette rolling and packaging equipment, covering more than 40,000 monitoring points.
From Wonderware to TDengine: Modernizing Data Infrastructure at Dali Cigarette Factory
by TDengine Team
March 20, 2026
Refinery performance does not live in one screen. Throughput, blend quality, and site economics move together, and operations teams need a way to see them together if they want to respond earlier and operate more consistently.
Seeing Throughput, Blend Quality, and Margin Together in Refinery Operations
by Jim Fan
March 19, 2026
For decades, the Data Archive has been the core component of industrial data historians. However, when viewed through the lens of industrial internet, IoT, and AI, the assumptions behind Data Archive no longer hold.
From Data Archive to TSDB: Why the Industrial Data Foundation Must Be Rebuilt
by Jeff Tao
March 19, 2026
Generic dashboards are great for flexible charting. But industrial teams need more than charts. They need context, repeatability, and a system that reflects how operations actually work.
Why Asset-Centric Visualization Is Better Than Grafana for Industrial Operations
by Jim Fan
March 19, 2026
Data historians solved one of the hardest problems in industrial computing: reliably storing massive volumes of operational data. But in the AI era, simply storing data is no longer enough.
From Data Historian to AI-Native Industrial Data Foundation
by Jeff Tao
March 18, 2026
When it comes to industrial operations, there is one concept that remains essential—and often overlooked by modern data platforms: Asset-centric data modeling.
Asset-Centric Data Modeling Is Even More Important in the AI Era for Industrial Operation
by Jeff Tao
March 10, 2026
Leveraging TDengine, a major steel producer recently built a high-performance data storage and analytics platform for a specialty steel digitalization project.
250,000 Writes per Second: Modernizing Steel Manufacturing Data Infrastructure
by Jim Fan
March 6, 2026
Industrial data platforms are evolving rapidly. But sometimes the most powerful ideas are not the newest ones. Event Frames are one of those ideas.
Event Frames: One of the Most Brilliant Ideas in Industrial Data — And Why They Matter Even More in the AI Era
by Jeff Tao
March 5, 2026
When industrial systems truly develop decision intelligence, the conversation will no longer revolve around how much data we can see, but how many better decisions we can make.
Industrial Software Is Entering the Insight Era
by Jeff Tao
March 4, 2026













