1 link tagged with all of: data engineering + performance comparison + polars + benchmarking
Click any tag below to further narrow down your results
Links
DuckDB has proven to be superior to Polars when handling large datasets, particularly 1TB of data. While DuckDB effectively manages memory and execution with a robust design, Polars struggles with large data processing, leading to out-of-memory errors.
- DuckDB handled the 1TB benchmark successfully while Polars crashed with out-of-memory errors
- DuckDB's memory management and execution engine scale more effectively to large datasets than Polars'
- Polars is optimized more for in-memory, smaller-scale workloads and breaks down at larger scales like 1TB