@AH that depends on use case, if your implementation involves Data Lake, ML, Data engineering tasks better to go with databricks as it has got good UI and there good governance using unity catalog for your data lake and you have good consumer tool support from BI. mainly if you are running Data Engineering pipelines you get optimized version of spark not regular open spark which you consume in EMR. one more benefit is your compute and storage layers are separated and there is no vendor lock
