TDengine All-in-One
A Modern Data Historian
Built for Industrial AI
TDengine All-in-One brings industrial data collection, high-performance time-series storage, asset and process context, visualization, analytics, and AI-assisted investigation together in one platform.
Free forever for up to 5,000 tags. Download TDengine All-in-One and follow setup tutorials with the Free Tier.
Trusted by over 1,000 industrial companies worldwide
Why TDengine All-in-One?
Proven Industrial-Grade Technology
Built for demanding industrial data workloads, with high-volume ingestion, efficient historical storage, and the flexibility to support operations across sites. TDengine is used by more than 1,000 industrial companies worldwide.
More Predictable Historian Costs
Bring core historian capabilities, dashboards, and analytics together in one platform. Choose an evaluation or commercial deployment path that fits your environment, without building a solution from many disconnected products.
Industrial Context for AI
Connect historical data with equipment, assets, and process relationships. Industrial ontology gives engineers and AI the context needed to interpret patterns and investigate events.
Open Integration and Flexibility
Connect industrial and enterprise data sources through widely used interfaces, and deploy on premises or in the cloud. Build on existing systems as your historian and analytics needs evolve.
Modern Historian, Built-In Intelligence
Beyond Historical Data. Built-In AI.
Go beyond collecting and visualizing time-series data. TDengine combines industrial data and asset context with AI capabilities that help teams ask questions, investigate events, detect anomalies, and find practical operational insights.
Built-in AI Agent
Ask questions in natural language, explore industrial data, and generate visualizations.
Root-Cause Analysis
Investigate operational events using historical data, asset context, and evidence-backed hypotheses.
Forecasting & Anomalies
Forecast process variables and identify unusual patterns in time-series data.
Operational Insights
Get AI-suggested dashboards, analyses, and explanations based on your assets and processes.
TDengine Industrial AI in Action
Industrial AI working with historian data
Start with an event investigation, then explore real product walkthroughs for analysis and visualization.
Investigate equipment events with Root-Cause Analysis
Bring historical measurements, event context, and relevant knowledge into a structured investigation. Review hypotheses and supporting evidence before taking action.
Watch Introduction Video
Build panels and dashboards with AI
See natural-language visualization creation in a published TDengine tutorial.
Watch Introduction Video
Get AI-Generated Insights from Historical Trends
Get AI-powered explanations and summaries for any panel or analysis.
Watch Introduction VideoWho it’s for
Built for Industrial Teams Working with Operational Data
Bring historical data, asset context, dashboards, and operational analysis together, whether you are evaluating a new historian, extending an existing system, or introducing AI-supported workflows.
Manufacturing
Investigate equipment anomalies, compare production performance, and connect plant data with operational context.
Energy & Utilities
Monitor distributed power and utility assets, analyze long-term performance, and bring data from multiple sites together.
Oil & Gas
Use field and plant history to investigate events, monitor assets, and integrate data across operational systems.
Life Sciences & Pharmaceuticals
Support batch and manufacturing data workflows with documented technical controls for access, auditability, and record protection.
TDengine Industrial Use Cases
Discover how TDengine All-in-One is used in real operational scenarios.
What’s included
TDengine All-in-One Brings Together TSDB and IDMP
An integrated foundation for collecting and storing industrial time-series data, organizing it around assets, and building the workflows engineers rely on every day.
TDengine TSDB
Ingest, store, process, and query high-volume industrial data efficiently, from live telemetry to long-term history.
- High-volume industrial data ingestion
- Efficient historical storage and queries
- SQL access and real-time processing
- Distributed and multi-site deployment
TDengine IDMP
Connect data with asset and process context, then explore events, dashboards, analytics, and AI-assisted operational workflows.
- Industrial ontology and asset relationships
- Dashboards and interactive visualization
- Event management and process analytics
- Context-aware AI-assisted investigation
Migration path
Modernize Existing Historian Workflows in Phases
For organizations using PI System, TDengine offers options to ingest PI data and historical records while modernizing in stages. Assess and validate asset structures, dashboards, and downstream workflows as part of the transition.
Migration Flow
1
Assess existing PI data sources and workflows
2
Connect and ingest data into TDengine
3
Rebuild and validate asset context
4
Modernize and validate applications over time
Learn More
TDengine IDMP 2.0.3 is officially available. This release introduces major updates across three areas: process recipe management
TDengine IDMP 2.0.3: Batch Analysis, AI Experts, and Canvas Enhancements
TDengine Team
November 6, 2026
Visualization Is Where Engineers Meet Data In industrial systems, visualization is where everything comes together. Data may
Asset-Centric and Event-Centric Visualization: From Dashboards to Operational Understanding
Jeff Tao
November 2, 2026
A chemical plant engineer without a formal software development background used an AI Agent and the TDengine
How a Factory Built an Industrial Alarm Management App with TDengine in Three Days
Arun Arulraj
September 28, 2026
From a Single Question to a Root Cause Investigation For years, industrial AI has been associated with
Built-In AI in the TDengine: From Question to Root Cause
Arun Arulraj
July 8, 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
Jeff Tao
April 10, 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
Jeff Tao
April 8, 2026
Explore a Modern Historian with TDengine All-in-One
Start with TDengine Free Tier, free forever for up to 5,000 tags, with software downloads and step-by-step tutorials. For enterprise historian requirements, talk with our team.
