Which Alteryx tool is designed to combine data from multiple sources?

The Join Tool is specifically designed to combine data from multiple sources based on a common field or fields. It is particularly effective for bringing together data from different datasets that share a similar structure, allowing users to blend data seamlessly. This tool enables users to specify which fields to join on and can handle both inner and outer joins, providing flexibility in how the data is combined.

When working with multiple datasets, the Join Tool allows users to merge records, ensuring that the resulting dataset contains relevant information from all sources involved, as long as there is a match found in the specified key fields. This capability is essential for data preparation and analysis, making it a critical component in the Alteryx workflow.

The Combine Tool, while aimed at consolidating data from multiple records, operates differently as it emphasizes aggregating data rather than merging it based on key fields. The Append Tool is typically used to add records from one dataset to another, but does not focus on combining or merging based on shared attributes. Lastly, the Union Tool is used to stack datasets vertically, adding additional records without necessarily requiring a matching key, which is not the primary goal of combining data from multiple sources.