Why TDengine?
AI-Ready Data Foundation
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.
10x 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.
Intelligent Analytics, from Raw Data to Insights
TDengine’s built-in stream engine continuously monitors data to generate KPIs and trigger alerts, while its TDgpt-powered AI engine identifies behavioral deviations without manual rules. For deeper insights, process analytics tools like batch comparison, trend analysis, and correlation help engineers move from “what happened” to “why it happened,” all within a single platform.
AI-Powered Insights: Data That Speaks for Itself
TDengine weaves AI throughout the entire data platform. Zero-Query Intelligence automatically delivers dashboards, insights, and KPI recommendations based on your data and business context. When deeper investigation is needed, the AI assistant generates analyses on demand, while root cause analysis investigates alerts and TDgpt enables anomaly detection, forecasting, and data imputation directly in the database.
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 to build and scale without vendor lock-in.
Open ecosystemTDengine: AI-Native Data Foundation
TDengine is composed of two products seamlessly integrated:
More than just a database, TDengine 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.
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Latest Updates
In a typical factory scenario, 30 compressors report three Tags: temperature, pressure, and vibration. Over three months, that adds up to tens of millions of data points. The process director wants to know which operating range the compressors spend the most time in. Most monitoring panels rely on Line Charts and Bar Charts. They can
How TDengine Historian Heatmaps Reveal Equipment Operating Patterns
by Arun Arulraj
June 29, 2026
After many conversations with PI users globally, one pattern keeps coming up: the issue is not whether historian data exists, but how easily teams can use it somewhere else. Over the past year, my team and I have had many conversations with PI System users around the world. Utilities. Renewable energy operators. Manufacturers. Energy companies.
PI Works. Moving the Data is the Hard Part
by Jim Fan
June 27, 2026
For three decades, the Line Chart has dominated industrial equipment monitoring. Temperature, pressure, vibration, current. Whenever time-series data needs visualization, the default is a curve. But take motor winding temperature as an example. What operators actually care about is not the average. They want to know whether the temperature is climbing steadily or spiking suddenly,
How Candlestick Charts Reveal Industrial Data Fluctuations
by Arun Arulraj
June 26, 2026
Many plants have built critical operational workflows around PI. But PI modernization does not have to be a big-bang, rip-and-replace project.
PI System Replacement Does Not Have to Be Rip-and-Replace
by Jim Fan
June 4, 2026
TDengine has partnered with CSE ICON, a leading industrial automation and systems integration company, to deliver modern industrial data infrastructure solutions to customers across North America.
TDengine Strengthens Industrial Automation Partner Network with CSE ICON
by TDengine Team
May 28, 2026
TDengine today announced a new reseller partnership with South Korea-based SAINTI, a specialist in AI-powered smart factory solutions and industrial digital transformation.
TDengine Partners with SAINTI to Drive Industrial Data Innovation in South Korea
by TDengine Team
April 21, 2026
In many real-world deployments, TDengine delivers comparable capabilities at roughly one-third the cost of PI System, while reducing complexity and improving scalability.
TDengine vs. PI System: Total Cost of Ownership Explained
by Jim Fan
April 15, 2026
TDengine today announced a new value-added reseller partnership with Chile-based Piramid, a specialist in industrial data integration and IIoT solutions with a strong focus on the mining industry.
TDengine Partners with Piramid to Deliver AI-Native Industrial Data Solutions in Chile
by TDengine Team
April 15, 2026
Sinopec replaced legacy systems with TDengine to unlock real-time, high-scale data processing and intelligent oilfield operations.
Modernizing Oilfield Data Infrastructure with TDengine at Sinopec
by TDengine Team
April 14, 2026













