For ETL, I feel the performance is excellent.
AWS Glue excels with its data catalog, triggers, and integration with AWS services like S3, while its serverless architecture optimizes costs for Spark jobs. The scalability, Jupyter Notebook compatibility, and schema-updating capabilities enhance data processing. However, the high start-up time, platform exclusivity, expensive pricing, technical support issues, and complex setup challenge users. It proves efficient yet requires advanced knowledge, focusing on users who prioritize seamless AWS integration.
