AI-Native Industrial Data Foundation
Move beyond legacy historians with an open foundation for industrial time-series data, asset context, real-time analytics, and AI-driven operations.
Trusted by over 1,000 industrial companies worldwide
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
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 13, 2026
The data foundation you build today will determine what is possible tomorrow. It is the one asset that persists, accumulates value, and supports every layer built on top of it.
Building Your AI-Native Industrial Data Foundation
by Jeff Tao
April 12, 2026
Applications are no longer long-lived assets, but flexible and disposable layers on top of something more fundamental.
The Future of Industrial Software: AI Agents on Top of an Industrial Data Foundation
by Jeff Tao
April 11, 2026
The total cost of an industrial data system is not defined by its license or subscription price. It is defined by its complexity, its integration effort, and the people required to make it work.
Total Cost of Ownership: The Hidden Cost of Industrial Data Systems
by Jeff Tao
April 10, 2026
The latest updates to TDengine IDMP focus on strengthening the full data lifecycle—from ingestion and analysis to visualization—while making advanced capabilities easier to use across the business.
TDengine IDMP 1.0.15: Smarter Analytics, Faster Insights, Stronger Foundations
by TDengine Team
April 9, 2026
If industrial data platforms are not open, every new AI capability requires custom integration, making it difficult to keep up with the pace of innovation.
Why Industrial Data Must Be Open — Without Losing Context
by Jeff Tao
April 8, 2026
AI-driven operational insights remove the barrier to understanding data by making it possible to generate insights without requiring deep expertise in analytics or domain modeling.
AI-Driven Operational Insights: Removing the Barrier Between Data and Understanding
by Jeff Tao
April 7, 2026
TDengine today announced a partnership with Arabian Digital Solutions (ADS), a Saudi Arabia-based industrial automation and engineering company specializing in smart manufacturing and digital transformation.
TDengine Expands Middle East Presence with Arabian Digital Solutions Partnership
by TDengine Team
April 7, 2026
AI is quickly becoming a necessity for industrial systems, and organizations are moving from simply collecting and processing data to turning it into real-time intelligence. This shift is putting pressure on traditional data historians. Products like AVEVA PI System were built for data collection and visualization, but AI and large language models (LLMs) require real-time
TDengine vs. PI System: Which Industrial Data Historian Is Truly AI-Ready?
by TDengine Team
April 6, 2026
