This article explores the performance of single-node data processing frameworks like DuckDB, Polars, and Daft against Spark using a 650GB dataset stored in Delta Lake on S3. It highlights the concept of "cluster fatigue" and demonstrates that these single-node tools can handle large datasets efficiently without the overhead of distributed computing.