Delta Lake
lastmod 2025-11-17created 2025-11-171 edits
A storage layer framework that brings reliability to data lakes
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- 650GB of data (Delta Lake on S3). Polars vs. DuckDB vs. Daft vs. Spark | GeekNews
- [Original] 650GB of Data (Delta Lake on S3). Polars vs DuckDB vs Daft vs Spark.
- DuckDB took 16 minutes, Polars 12 minutes, Daft 50 minutes, and PySpark over an hour, confirming that practical processing is possible even on a single node
- Polars does not support Deletion Vectors; only DuckDB supports the feature, so there is a difference in Lake House compatibility
- As a result, single-node frameworks proved capable of large-scale data processing even on low-cost hardware, raising the need to reconsider reliance on distributed computing