Hop User Manual
The Apache Hop User Manual contains all the information you need to develop and deploy data solutions with Apache Hop.
We’ve listed a number of starting points that might find useful to you. Check the full list of topics on the left hand side. If you’re a developer and want to extend Hop, want to build new functionality or want to fix a bug you found, check the developer documentation
| Hop treats documentation as any other part of software that can have bugs or missing features. If you find any incorrect information or are missing a crucial piece of documentation, please create an issue on GitHub. |
| Check the documentation contribution guide if you’d like to help us improve the Hop documentation. |
| The Getting Started Guide will help you to get started with Hop in no time |
| Check the Hop Gui guide for information about how to develop, run, test, debug and deploy Hop pipelines |
| Workflows are Hop’s tool to orchestrate workflows and pipelines, perform environment validations, error handling and much more with the available actions |
| Pipelines are Hop’s work horse: read from sources, write to targets and perform just about any manipulation on your data through hundreds of transforms. |
| Check the list of supported databases |
| Check the Run Configurations if you want to find out more about running your Hop pipelines on Apache Spark, Apache Flink or Google Dataflow over Apache Beam. |
