PySpark vs pandas — when to use which
admin · 04 Oct 2026 · 1 min read
pandas runs on one machine and is perfect up to a few GB. PySpark distributes work over a cluster and handles much larger data.
| pandas | PySpark | |
|---|---|---|
| Execution | Eager | Lazy |
| Scale | Single machine | Cluster |
| Best for | Exploration, small ETL | Big data pipelines |