Positioning
AI-Powered Industrial Data Historian
TDengine is an AI-powered industrial data historian that stores, manages, and serves trusted industrial data for operational dashboards, historical analysis, and intelligent decision-making.
What TDengine Is
TDengine is the system of record behind industrial dashboards. It is built for asset-heavy, multi-site environments where data must be:
- Reliable and continuous
- Retained long-term
- Queryable in real time and historically
- Ready for analytics and AI
Customers often start with dashboards. TDengine is what makes those dashboards operationally trustworthy.
Typical Customer Entry Point
Customers usually say:
- “We need operational dashboards”
- “We need visibility across plants or sites”
- “We need to understand what happened last week / last month”
These are valid entry points. The sales job is to confirm the historian need underneath.
Qualification Signals (Fast)
TDengine is a strong fit when most of these are true:
- Physical assets, plants, or sites
- Operational / OT data (process, production, energy, equipment)
- Dashboards used for operational decisions
- Need to look back and analyze history
- Multiple sites or future expansion
- Current system feels limited, fragile, or expensive
What Makes TDengine Different
- High-performance time-series ingestion and querying
- Native industrial data modeling (assets, context, events)
- Designed for long-term retention and replay
- Works across edge, on-prem, hybrid, and cloud
- Analytics- and AI-ready by design
TDengine replaces legacy historians without inheriting their cost and rigidity.
When TDengine Is Not a Fit
- Dashboards are purely for reporting
- Data has no long-term value
- No operational owner or decision maker
- Small, disposable metrics use cases
These deals stall.
How to Explain TDengine
TDengine is an AI-powered industrial data historian that sits behind operational dashboards, ensuring the data is reliable, retained long-term, and ready for analytics and AI.
Dashboards show value. The historian is why the system is trusted.
Sales Reminder
Start with what the customer asks for (dashboards). Always validate why the data must be stored, trusted, and analyzed over time.
That is where TDengine wins.
