StreamPipes supports several deployment models, from a simple single-host installation to distributed industrial setups with extension services running close to machines. This page explains how to deploy StreamPipes with Docker Compose or K…
Apache StreamPipes is designed as a distributed industrial data platform. Its architecture supports sovereign deployments, real-time data processing, and extension points for company-specific integrations and analytics. This page explains t…
In this tutorial, we will add a new data sink using the standalone wrapper. From an architectural point of view, we will create a self-contained service that includes the description of the data sink and a corresponding implementation. We a…
Charts are where persisted industrial data becomes something a user can actually read and act on. In StreamPipes, a chart starts with an existing dataset, turns that dataset into a query result, and then presents that result in a visualizat…
Dashboards are the place where individual charts become a shared operational view. Dashboards reuse the charts you already created in Charts and arrange them into one screen for monitoring, analysis, or presentation. That design is importan…
Programmatic access is the right choice when StreamPipes should be controlled or queried from an external application instead of only from the web interface. Typical examples include lifecycle automation for pipelines, inventory or metadata…
Pipelines are where connected data becomes operational logic inside StreamPipes. They let you take one or more live streams, combine them with processors and sinks, and turn that flow into something useful: filtering, enrichment, alerting,
Assets and sites give StreamPipes industrial context. They let you describe machines, lines, stations, and plants as real-world objects and then connect adapters, datasets, charts, dashboards, and pipelines to those objects. Without this la…
A dataset in StreamPipes is stored operational data. It is the point where live machine events stop being only transient stream traffic and become something users can inspect later, analyze in charts, reuse in dashboards, export for other s…
This document provides an overview of the MQTT connection and security configuration options available in StreamPipes. It covers how to configure broker connections, authentication modes, and TLS/SSL security settings — including guidance o…
The Apache StreamPipes community is happy to help with any questions or problems you might have. Subscribe to our user mailing list to ask a question. To subscribe to the user list, send an email to users-subscribe@streampipes.apache.org Yo…
Apache StreamPipes is an open-source data platform for the Industrial IoT. It helps teams set up an on-premise, extensible environment for connecting machines and software systems, turning incoming events into reusable data streams, process…