Media Coverage: ScaleOut Introduces Rules Engine for Digital Twin Service

The improvement means developers can build real-time digital twin models through the use of a rules engine as an alternative to writing code in Java, C#, or JavaScript. The new support has been added via a tool called the ScaleOut Rules Engine Development Tool that can be used to build and test rules engine-based models. The ScaleOut Digital Twin Streaming Service hosts instances of real-time digital twins in the Microsoft Azure cloud or on-premises, manages the delivery of messages from various message hubs, and implements data aggregation and visualization.

The very sensibly named ScaleOut Rules Engine Development Tool, provides features for building and testing rules engine-based models. Used with its ScaleOut Digital Twin Streaming Service, developers can build real-time digital twin models with an ability to immediately analyze data in motion from individual data sources in milliseconds and make immediate use of dynamic context for each data source.

Using a rules engine as an alternative to writing application code in programming languages such as Java, C#, or JavaScript, this technique reduces development time and lowers the barrier for developers and analysts by eliminating the need for specialized programming skills, the company says.

“We are excited to further simplify the development of real-time streaming analytics applications with support for rules-based digital twin models,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “With the introduction of the ScaleOut Digital Twin Streaming Service, we created a breakthrough for applications that need to simultaneously track thousands of data sources. Now, the integration of an easy-to-use rules engine adds new features that make application development easier than ever.”