DigitalTwins
Real-time system modeling, simulation, and autonomous operation in one continuous loop.
Synchronization breaks when data moves through pipelines
Digital twins require continuous synchronization between physical systems and their digital representations. Traditional architectures struggle because data is processed in batches, moved across systems, and reconciled after the fact.
Live ingestion, native intelligence, embedded execution
MonkDB ingests sensor and system data in real time, continuously updating the digital model. Twins do not just reflect current state. They simulate, predict, and trigger corrective actions.
Built for live, predictive twins
Sub-millisecond ingest
Capture telemetry at the source with no batching, no buffering, no pipeline glue.
Continuous state model
Always-current view of every entity, with vector and time-series in one engine.
In-engine simulation
Run what-if scenarios on live state without exporting to a separate analytics system.
Closed-loop execution
Trigger actions and parameter adjustments directly from the twin model.
Build twins that act, not just reflect.
独自のデータインフラストラクチャを統合できる方法を見てください 主権やパフォーマンスやスケールに 妥協をしない限り
デモを予約する