ScaleOut Software Unveils Digital Twin Streaming Service

ScaleOut Software is releasing its Digital Twin Streaming Service, a SaaS solution harnessing in-memory cloud computing to provide real-time analytics.

By creating “real-time digital twins” that simultaneously analyze telemetry from thousands of streaming data sources, this solution enables customers to take advantage of deeper introspection and better real-time decision-making without waiting to query data at rest in data lakes.

“Processing streaming data with real-time digital twins revolutionizes streaming analytics by enabling deep introspection in real-time and individualizing it on the fly for each data source,” said Dr. William L. Bain, founder and CEO of ScaleOut Software. “We built the ScaleOut Digital Twin Streaming Service to help our customers dramatically improve situational awareness in their live systems, spanning thousands or even millions of data sources. Whether tracking a fleet of rental cars or a population of smart watch users, real-time digital twins are a game changer for streaming analytics.”

The ScaleOut Digital Twin Streaming Service minimizes development time by enabling applications to be easily constructed with concise, real-time digital twin models and by connecting to numerous popular streaming cloud data sources, including Microsoft Azure IoT Hub, Amazon Web Services (AWS) IoT Core, Apache Kafka and REST.

Real-time digital twins also enable immediate streaming analytics that previously could only be performed offline or through delayed batch processing. Integrated, real-time aggregate analytics on the state information tracked for each data source let applications immediately spot and respond to emerging issues, maximizing overall situational awareness.

With its ability to immediately analyze data in motion from individual data sources in milliseconds and make immediate use of dynamic context for each data source, the ScaleOut Digital Twin Streaming Service can fundamentally change the way industries like real-time monitoring, healthcare, logistics, retail and financial services process live data streams to make critical decisions in the moment.

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