On the factory floor, the data already exists; it is just locked inside machines, PLCs, and protocols nobody on the analytics team speaks. StreamPipes unlocks it with guided adapters for OPC UA (including a web-based node browser), MQTT, Kafka, Pulsar, REST services, and industrial controllers, turning each source into a live stream in minutes. Domain experts then drag those streams into the pipeline editor, chain processors and sinks on a canvas, and watch connection validation check schema compatibility as they build, with live preview showing real values before anything is saved. Pipelines filter, enrich, aggregate, and route machine data, raise alerts, and write results to the built-in time-series data lake, where the data explorer charts history and spots trends. Finished pipelines run under an overview that starts, stops, and bulk-manages them, while detail views expose logs, metrics, status, and the pipeline as code. Live dashboards carry the same data to shop-floor screens and operations centers, organized around assets so a line, a cell, or a single machine becomes the navigation unit. Developers extend everything with custom adapters, processors, and sinks built on the Java SDK and deployed as microservices, or drive the platform from Python, Go, and Java clients. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.