Apache StreamPipes
non-cncf
First Research Pass
Content Lifecycle & Evolution State
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Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
First Research Pass Completed: Initial facts, key features, and documentation links have been gathered. Detailed technical writing and synthesis are currently in queue.
Overview
A self-service Industrial IoT (IIoT) and streaming analytics platform designed to enable non-technical users to connect, analyze, and explore IoT data streams.
Key Features
Drag-and-drop web pipeline editor for building stream workflows without coding.
Pre-built library of pipeline elements (adapters, processors, sinks).
Live data explorer and customizable dashboards for sensor monitoring.
Support for industrial protocols: MQTT, OPC-UA, Kafka, PLC4X, HTTP.
Use Cases
Condition monitoring in smart manufacturing, predictive maintenance, and shop-floor IoT prototyping.
Getting Started
Deploy via Docker Compose (`docker compose up -d`) and open `http://localhost:80`.
Recent Updates
Graduated to Apache Top-Level Project, adding Python pipeline integration and OPC-UA improvements.
Did You Know?
Apache StreamPipes is widely utilized across the cloud native and open source ecosystem.