Polars Secures €18 Million to Deliver High-Speed, Ergonomic Data Processing Solutions Capable of Handling Workloads at Any Scale

Polars, the company enabling seamless data processing experience on any scale, led by Ritchie Vink and Chiel Peters, has secured €18 million, led by Accel with participation of BCV, which followed up on their seed investment.

Polars has grown from 250K to over 23M monthly users since its seed round, while introducing major advances such as faster processing, streaming execution, better cloud interoperability, and the launch of Polars Cloud, a low-latency distributed data platform.

With fresh funding, the company will push further by making Polars OSS fully streaming, expanding its distributed engine for cloud and on-premises, and building a complete data platform with autoscaling, query insights, and managed hardware, all unified under one intuitive DataFrame API.

Polars has redefined single-node data processing by fully maximizing available hardware. With Polars Cloud, the vision extends further: one unified DataFrame API that scales seamlessly from local to distributed environments. No rewrites, no switching to tools like PySpark, the same code adapts to any scale, delivering efficiency and simplicity with just a remote call.

Polars began with a clear mission: to build a faster, more reliable DataFrame library that could surpass pandas and eliminate common pitfalls. That vision quickly evolved into a state-of-the-art single-node query engine purpose-built for DataFrames.

Today, the company remains committed to those open-source roots while extending its reach into managed clusters and distributed computing. By running the OSS Polars streaming engine on worker nodes, every improvement to open source strengthens both the community project and the enterprise platform.