Apache StreamPipes

Apache StreamPipes is an open-source Industrial IoT (IIoT) toolbox designed to empower non-technical users to connect, analyze, and visualize data streams from industrial environments. It provides a self-service platform with an intuitive web interface for building real-time data pipelines, integrating heterogeneous data sources, and deploying analytics without writing code 

Features

• Integrated web-based UI for pipeline creation and management.
• StreamPipes Connect library with adapters for protocols like MQTT, OPC-UA, Modbus, S7, Kafka, and Pulsar.
• Real-time algorithm toolbox including filters, trend detection, neural networks, and custom processors.
• Data sinks for output to systems like Kafka, Elasticsearch, Slack, PostgreSQL, RabbitMQ, and IoTDB.
• Live dashboard and data explorer for real-time and historical data visualization.
• User management with role-based access control.
• Email notifications and alerting directly from pipelines.
• SDKs for Java, Python, and TypeScript to extend functionality.

Capabilities

• Connects to industrial and IT data sources with minimal configuration.
• Harmonizes and transforms data before ingestion using pre-processing rules.
• Enables real-time analytics with configurable data processors.
• Supports custom algorithm development and runtime deployment.
• Sends processed data to external systems or triggers actions.
• Visualizes time-series data with heatmaps, distribution charts, and live metrics.
• Manages users, groups, and permissions for secure access control.
• Operates in production environments with out-of-the-box readiness.

Benefits

• Empowers domain experts to build IIoT solutions without coding.
• Accelerates deployment of industrial analytics and monitoring.
• Reduces integration complexity with built-in adapters and processors.
• Enhances decision-making with real-time insights and alerts.
• Open-source and extensible for custom industrial use cases.
• Scalable architecture suitable for small setups and enterprise deployments.
• Improves operational efficiency and reduces downtime through proactive monitoring.