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The AI-Powered Data Historian

Replace legacy historians like PI System with a complete modern platform for industrial time-series data, contextualization, visualization, and AI-driven operations.

Trusted by over 1,000 industrial companies worldwide

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 studies

Radically 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 ecosystem

TDengine: 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.

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TDengine Historian

AI-powered industrial data historian

TDengine TSDB

High-performance time-series database

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

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Proudly 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
worldwide

24,000

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stars

20,000+

Community
members

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