Unlike legacy management systems, which typically push real-time data to offline storage for batch analytics that can take minutes or hours, digital twins hold data in memory for fast access, enabling them to immediately spot trends and alert managers. Using a scalable technology called 'in-memory computing,' digital twins can track thousands of data sources, ingest telemetry, and generate analytics results in milliseconds.
With their fast computing at scale and natural correspondence to physical entities, digital twins can also implement simulations of large, complex systems. For example, they can model the daily operations of an airline or a city's traffic control network and intricate interactions that are otherwise difficult to measure. These simulations can assist engineers as they evaluate a spectrum of design choices.
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