Yesterday's Glue ETL Job is powerful, but you must write PySpark code directly. Not every data worker is proficient in Spark. Data analysts, data scientists, and business users also need to clean and transform data. AWS provides two visual/no-code tools to bridge this gap — Glue Studio (visual ETL) and Glue DataBrew (visual data cleaning). They seem similar but serve different purposes. Distinguishing this difference comes up frequently on exams.
Glue Studio is a visual interface that lets you build Glue ETL Jobs via drag-and-drop graphs