G-Research tackles the biggest financial data challenges of tomorrow with Polars
G-Research is a leading quantitative finance research firm that uses Polars in different projects throughout the organization.
Thu, 18 Apr 2024
Updated TPC-H benchmark results
A fresh run of the TPC-H benchmark suite shows the performance of Polars versus other query processing engines.
Accelerating Polars DataFrames
Polars and NVIDIA are bringing GPU acceleration to Polars dataframes in the near future. With the collaboration Polars is able to fully utilize both the CPU and GPU, significantly speeding up certain workloads.
Polars in Aggregate: New integrations, enhanced NumPy interop, and improved performance
This edition covers support for streaming outer joins, zero-copy NumPy interop, COUNT(*) fast path, very fast boolean filters and ternary operations, and more.
The power of predicate pushdown
Predicate pushdown is one of the most important optimizations for a query engine. Read more about it in this article.
Check Technologies saves 25% of cloud expenses with Polars
Check Technologies is a Dutch multi-modal mobility provider in the Netherlands. They have successfully migrated all data pipelines from pandas to Polars and saved 25% on their cloud bills.