ScaleOut StreamServer combines a scalable, stream-processing compute engine with an integrated, in-memory data grid (IMDG) to create a powerful, unified software platform for both stateful stream-processing and data-parallel analytics in a wide range of applications, such as the Internet of Things (IoT), logistics, financial services, and much more. Applications can perform fast event analysis with in-memory state tracking using the digital twin model for deep introspection and precise real-time feedback. Data-parallel APIs, including MapReduce, enable real-time analytics of live data to detect and respond to aggregate trends.

Using ScaleOut StreamServer combined with the ScaleOut Digital Twin Builder(TM) software toolkit, developers can construct Java-based digital twin models of data sources for real-time streaming analytics. Digital twin models track the dynamic state of each individual data source to enable deeper introspection on incoming event messages, which results in better real-time feedback and alerting. Developers can easily implement object-oriented digital twin models, deploy them to the IMDG, and connect them to data sources using Kafka or REST. ScaleOut StreamServer cleanly separates application logic from the platform's orchestration mechanisms. The IMDG automatically scales its event-handling throughput to keep response times fast for large workloads. AWS instances include Standard Support. Premium support packages are available directly from ScaleOut Software.