ScaleOut StreamServer is a unified software platform combining a scalable stream-processing engine with an integrated in-memory data grid. It enables stateful stream processing by leveraging digital twin models, allowing applications to analyze incoming event streams in real time with full context about each data source. This approach supports deep introspection, immediate feedback, and precise alerting across industries such as IoT, healthcare, logistics, and financial services. The platform is designed for high scalability, low latency, and seamless integration with existing streaming pipelines like Kafka.

Key Features

Stateful Stream Processing Tracks and analyzes event streams in real time with full context for each data source.

• Uses digital twin models for dynamic state tracking.
• Enables immediate, context-aware feedback and alerting.

Integrated In-Memory Data Grid Combines event processing with fast, scalable in-memory storage.

• Eliminates network bottlenecks by processing data where it lives.
• Ensures low latency and high throughput.

Digital Twin Builder Toolkit Simplifies development and deployment of digital twin models.

• Supports Java, C#, and JavaScript.
• Enables object-oriented modeling and message processing.

Kafka and REST Integration Seamlessly connects to existing streaming data pipelines.

• Acts as both consumer and producer for Kafka.
• Scales throughput automatically across multiple brokers.

Data-Parallel Analytics Performs real-time analytics on live data using MapReduce and other techniques.

• Detects aggregate trends and patterns.
• Supports both streaming and batch analysis.

High Availability and Scalability Distributed architecture ensures reliability and performance.

• Transparently scales across servers or cloud instances.
• Built-in high availability for mission-critical data.

Benefits

Deep Real-Time Operational Intelligence Provides actionable insights and timely alerts by analyzing live data in context.

• Enables predictive analytics and anomaly detection.
• Improves responsiveness in operational systems.

Simplified Application Development Reduces complexity in building and deploying stream-processing applications.

• Automatic code shipping and deployment.
• Intuitive SDKs and APIs for rapid development.

Flexible Deployment Supports on-premises and cloud environments.

• Integrates with Azure IoT and other cloud services.
• Easily adapts to changing workload demands.