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.NET DataFrame Engine, powered by Arrow and Polars

162 starsC#

Polars.net – 36x faster than pyspark on deltalake

by errorlsc·Mar 1, 2026·4 points·1 comment
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AI Analysis

●●●BangerWizardryBig Brain

High-performance Polars bindings bring lazy evaluation and Arrow to .NET ecosystem.

Strengths
  • •Genuine technical win: Rust-backed Polars engine eliminates GC pauses and garbage collection overhead in .NET
  • •Benchmarks are concrete and reproducible (Delta Lake read/write comparisons provided)
  • •Cloud integration (AWS, Azure, GCP) makes it production-ready for enterprise data pipelines
Weaknesses
  • •AVX2 CPU requirement (Haswell 2013+) excludes older hardware and some cloud instances
  • •Delta Lake ecosystem is already served by PySpark — positioning needs clarification on when .NET choice wins
Target Audience

.NET developers working with large datasets and data engineering

Similar To

Pandas · PySpark · DuckDB

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