Pandas Should Go Extinct

Pandas becomes memory-bound and slow around the 100 GB scale, forcing many users to switch to heavyweight distributed systems like Spark or Snowflake even though most workloads don’t need that complexity. Amazon Redshift telemetry shows 94.68% of tables and 86.9% of queries stay below 100 GB, indicating “medium-data” use cases. Modern single-machine tools such as Polars and DuckDB handle this range efficiently, offering a viable alternative to Pandas.