Amsterdam-based Polars secures €3.6 million to let data scientists focus more on their code and less on infrastructure
Summary
Polars, a DataFrame library based on the Rust programming language for data scientists and engineers, announced its seed funding of €3.6 million led by Bain Capital Ventures (BCV) with participation from individual investors. Founder Ritchie Vink started the Polars project with the goal of bringing high-performance scientific and numeric data processing to the laptop. Polars empowers data scientists and engineers to analyze large DataFrames without having to set up and maintain a distributed compute cluster. “Polars will let data scientists and engineers focus more on their code and less on infrastructure,” said Slater Stich, Partner at BCV. “Historically, data teams have faced a big leap in infrastructure complexity once the DataFrames they’re working with grow beyond a few gigabytes in size.