Pandas Should Go Extinct
- ID
- 23849
- Status
- summarized
- Published
- 12 Sep 2026, 10:42 AM
- Fetched
- 14 Sep 2026, 7:39 AM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://eddie.codes/posts/pandas-should-go-extinct/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 7.5
- Created
- 14 Sep 2026, 7:42 AM
- Tags
- Audience
- developersvibe_codersdatabase_learnersai_ml_learners
What happened
The author argues Pandas should be replaced by Polars and DuckDB for single-machine workloads up to ~100GB, citing Amazon's 2024 Redshift fleet paper showing most real-world tables are far smaller than people assume. The claim is that Pandas' inefficiencies push users prematurely toward expensive distributed systems like Spark, Databricks, or Snowflake when a single-machine tool would suffice.
Why it matters
If your data fits in tens of GBs on a single machine, evaluate Polars or DuckDB before adopting Spark/Databricks/Snowflake — you may be paying for distributed complexity you don't need. For Malaysian startups and builders, this is a concrete cost and complexity decision: try a free single-machine tool first before committing to managed warehouse pricing.
Discussion angle
Where is the real cutoff for Malaysian teams — when does single-machine DuckDB/Polars stop being enough, and is the ~100GB threshold realistic for typical local startup data workloads?