Polars, the DataFrame library, raised €18M in Series A funding led by Accel with participation from BCV. The company reports growth from 250k to over 23M monthly users since its seed round and plans to use the new funds to make Polars OSS fully streaming, build a state-of-the-art distributed engine for cloud and on-premises use, and expand Polars Cloud into a full managed data platform with autoscaling, query insights, and profiling. Polars Cloud is currently live on AWS with on-premise sign-up available.
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What we will do with the fundsGet started with Polars Cloud and Polars DistributedOur commitment to Open SourceQuestions this post answers
What is Polars Cloud and how does it relate to the open source Polars library?
Polars Cloud is a managed data platform built on top of open source Polars that adds distributed, low-latency data processing, managed hardware, autoscaling, and query profiling. It lets a Polars query written for a single machine run in the cloud by adding a remote() call within a ComputeContext, without rewriting the DataFrame API. It is currently live on AWS, with on-premise deployment available by signup. Developers deciding how to scale DataFrame workloads can track Polars Cloud updates on daily.dev.
How much funding did Polars raise in its Series A round?
Polars raised €18 million in a Series A round led by Accel, with participation from BCV, which had also backed the earlier seed round. The company states its monthly users grew from 250,000 to over 23 million since the seed investment, and the new funds will go toward making Polars OSS fully streaming and building a distributed query engine. Anyone evaluating data-processing tools can follow Polars funding and roadmap news on daily.dev.