Welcome to StreamPipes¶
With StreamPipes, it is possible to build distributed pipelines to process your data in real-time without development effort by providing an easy-to-use graphical user interface on top of existing stream processing frameworks. Pipelines consist of data streams, real-time event processors and data sinks. StreamPipes provides a system that can be used by domain experts with little to no technical understanding to explore and analyse their data. The whole system is designed in a way that it is flexible and can be easily extended by adding data streams, data processors or data sinks.
This documentation contains a quick start to get the system up and running in your own environment. Further, the user guide gives an overview over all features that are available. If you are interested in the technical details and want to extend the system have a look at the developer guide, which explains how the StreamPipes SDK works.
Your feedback is appreciated!
The current open source release of StreamPipes is an early developer preview. If you have any feedback, contact us and we'll be glad to help and consider any suggestions for future improvements of StreamPipes.
How to start?¶
- Introduction: Getting to know the concepts of StreamPipes
- Installation: How to install StreamPipes in my environment?
- Getting Started: Running your first pipeline
- Feature Tour: Getting to know all features accessible in the graphical user interface
- Developer Guide: Implement and import new elements into StreamPipes
- Common Problems: This section provides solutions for common problems
StreamPipes is actively maintained by the Knowledge Management department within the Information Process Engineering (IPE) division of FZI Research Center for Information Technology.
If you have any suggestions or ideas do not hesitate to contact us. We are always interested in discussing your ideas and proposals for improvement.
Send us an E-mail or visit our Website for further information.