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.

Every physical device on your network gets a living digital counterpart in Eclipse Ditto: a Thing whose Features hold its current state, desired state, and properties, readable and writable through APIs even while the device itself is offline. Your application talks to the twin over a REST-like HTTP API for CRUD and search, over WebSocket for real-time bidirectional streams, or over Server-Sent Events for change notifications, and Ditto routes commands down the live channel to the actual device when it is connected. Devices and backends connect through managed Connections to MQTT, AMQP 1.0 and 0.9.1, Apache Kafka, and HTTP endpoints, with payload mapping that translates between device formats and Ditto Protocol JSON. Fine-grained Policies decide per subject and resource who may read a temperature, change a setpoint, or receive an event, including namespace-scoped entries and partial change notifications that only reveal fields a subscriber may see. Search across millions of twins uses an RQL query language with custom MongoDB indexes, and Web of Things integration generates Thing Descriptions scoped to each requester's permissions. The bundled Explorer UI lets operators browse Things, inspect Features, and time-travel a twin's state to any past revision or timestamp to see exactly what changed and when. OpenID Connect and basic authentication protect the gateway, and Prometheus metrics expose live entity counts per namespace. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. EPL-2.0 licensed.