Why are modern libraries like Polars so much faster?

Many low/no-code tools (Informatica, Alteryx, legacy ETL) execute step-by-step and load everything into memory.

How Polars is different:

• Lazy Evaluation: Builds a plan and executes only once, fully optimized.
• Parallel Execution: Uses all CPU cores—jobs finish in seconds.
• Efficient Memory: Handles millions of rows where others crash.

Real world: 30-minute jobs in legacy tools finish in < 10 seconds with Polars.

Stop wasting time—modernize your workflows with Polars and Python.