| Source Type | Target Type | Input | 
                            
                            | Alteryx | AWS Glue Notebook | 
In Output Type, select Python as the output type format for the generated artifacts.In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server, Teradata, Netezza, DB2, Vertica.In S3 Bucket Base Path, provide the S3 storage repository path where you need to store the source and target files.In Artifacts Location, specify the location from where you need to call external files such as parameter files, orchestration scripts.   | 
                            
                                        | Databricks Lakehouse | 
In Output Type, select Python as the output type format for the generated artifacts.In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server.In DBFS File Base Path, specify the DBFS (Databricks File System) location where you need to fetch the input files and store the transformed data. In other words, it is a base path for input files and output data. | 
                            
                                        | Spark | 
In Output Type, select Python as the output type format for the generated artifacts.In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server, Teradata, Netezza, DB2, Vertica.In File Base Path, specify the base path for input files and output data.In Artifacts Location, specify the location from where you need to call external files such as parameter files, orchestration scripts.   |