Solution · 07
Digital Twin and Simulation
Mirror reality. Predict outcomes. Act faster.
Create real-time digital replicas of systems to simulate, predict, and optimize operations.
PHYSICAL
DIGITAL TWIN
1:1
Live mirror of physical state
<1 s
State sync latency
∞
What-if simulations
Same
Engine for twin and ops
Why this matters
From visibility to predictive and autonomous operations
Digital twins require continuous synchronization and intelligence. MonkDB enables live state, predictive simulation, and execution from the same engine.
Twins that act, not just reflect
What you get
What MonkDB makes possible for digital twin and simulation
0101 / 04
Real-time data synchronization from physical systems
Sub-millisecond ingest from sensors and control systems.
0202 / 04
Continuous state updates
Always-current digital model reflecting the physical reality.
0303 / 04
Predictive simulation models
Run what-if scenarios on live state inside the engine.
0404 / 04
Immediate execution based on simulated outcomes
Apply corrective actions back to the physical system instantly.
How it works
Three steps, one continuous loop
MIRROR
1Continuous state sync
Physical asset telemetry updates the digital twin in flight, not on schedule.
SIMULATE
2Run what-ifs on live state
Predictive simulations execute on the current twin without snapshot exports.
ACT
3Apply the best outcome
Simulation result triggers a control action on the physical system.
Our refinery twin now updates every second from 9,000 sensors. Simulations that took a week of batch ETL now run on live state in minutes.
Outcome in numbers
- 9 KSensors synced live
- 1 sState sync interval
- 5×Faster simulation cycles
Other solutions