Duckpad, Dataiku and Alteryx
Already familiar with Dataiku DSS or Alteryx Designer? Use this vocabulary map to find your bearings in Duckpad. These are the closest concepts; behavior and feature coverage differ.
| Duckpad | Dataiku DSS | Alteryx Designer |
|---|---|---|
| Flow / pipeline | Flow | Workflow |
| Node | Recipe | Tool |
| Output table | Dataset | Data stream at an output anchor |
| Input / output port | Recipe input / output dataset | Input / output anchor |
| Connection | Connection | DCM connection |
| Load CSV, Parquet, XLSX or table | Input dataset | Input Data tool |
| Export node | Sync recipe + output dataset | Output Data tool |
| Select columns | Prepare recipe: column steps | Select tool |
| Clean values | Prepare recipe: cleaning steps | Data Cleansing tool; DateTime for date parsing |
| Filter | Sample/Filter recipe | Filter tool |
| Join | Join recipe | Join tool |
| Aggregate | Group recipe | Summarize tool |
| Data test | Data quality rule | Test tool |
| Component | Application-as-recipe | Standard macro |
| Project variable | Project variable | User constant |
| Run all | Build (job) | Run workflow |
| Results panel | Dataset Explore tab | Results window / Browse tool |
Duckpad exposes tables on node outputs; Dataiku shows datasets as separate Flow objects. Duckpad components are reusable sub-flows; Dataiku Flow zones only group a Flow visually.
Reference terminology: Dataiku Flow and visual recipes; Alteryx interface and tools.
Continue with Duckpad in 15 minutes.