Actively hiring
Open Source Projects & Foundations
Query Engines & Big Data Processing
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$19.4M
1 round on record
Latest round
$19.4M
Series A · Sep 2025 · 12 mo ago
Team
51-200
employees, estimated range
Hiring now
4
open roles
Backers
1
Accel
The money's age
Due for its next round
12 months since the last round · hiring slowed
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Sep 3
On the Hacker News front page Pre-Release of Polars 2.0 · 403 points
Sep 29, 2025
Raised a round Series A $19.4M · Polars
Mar 7, 2025
On the Hacker News front page Polars Cloud: The Distributed Cloud Architecture to Run Polars Anywhere · 261 points
Aug 6, 2024
On the Hacker News front page Why Polars rewrote its Arrow string data type · 226 points
Jan 8, 2024
On the Hacker News front page Polars · 981 points
Dec 16, 2021
On the Hacker News front page Polars: Fast DataFrame library for Rust and Python · 238 points
Tractionpublic signals, read monthly
Web presence
top 0.3%
of 133.2M domains by links, Common Crawl
Hacker News stories
32
best: 981 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series A | Sep 2025 | $19.4M | — | Polars |
Backed byfrom the funds' portfolios and accelerator catalogs
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How Polars hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Polars scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Polars is a high-performance DataFrame library for Python and Rust built on Apache Arrow, and its open source query engine has more than 60 million downloads per month. The company is building a commercial layer called Polars Distributed on top of the open source engine and hires engineers for performance, query engines and platform work. The company is headquartered in Amsterdam, Netherlands.
News
Report
3 Polars Tricks for High-Performance Data Manipulation
Almost every slow Polars script lacks in terms of one of these two: its expression engine written and executing in Rust across every core at its disposal, and its query optimizer that rewrites your work before any of it runs.
Read more
Report
Profile your Polars queries
You can now query profile your locally running queries live & historically in our platform.
Read more
Report
Pre-release of Polars 2.0
Preview of Python Polars 2.0, bringing the streaming engine to all lazy queries
Read more
Report
A new streaming backend for the Polars GPU engine
The Polars GPU engine now runs on a streaming backend built on RapidsMPF. Queries spill past GPU memory and scale from one GPU to many.
Read more
Report
Announcing Polars 1.44
Polars 1.44 brings Iceberg schema evolution on sink, an adaptive rate limiter for cloud I/O, and correlated subqueries in the SQL layer.
Read more
Report
How BMLL Processes 1.5 TB of Market Data in Under 4 Minutes
BMLL Technologies processes petabytes of nanosecond-precision market data for the world's most sophisticated trading teams. In this case study, they share what a 48x performance improvement over pandas looks like in practice, and what it means for executi
Read more
Report
Python Polars: The Definitive Cheatsheet
Polars is a library for transforming, analyzing, and visualizing data with a fast and expressive DataFrame API. It was first released by Ritchie Vink in 2020.Install Polars with all of its optional dependencies from the terminal:uv pip install "polarsall"
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Report
Migration strategies for going from pandas to Polars
How to scope a pandas to Polars migration, from a single performance-sensitive section to the whole pipeline, and how to execute a full migration by hand or with an LLM.
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Report
Show more news
Tech stack
Technologies named in job postings at Polars over the last 12 months, by layer, with the share of postings for each.
Technologies in use
6
Postings analysed
2
Stack modernity
81/100
Languages
Python
Rust
Cloud & platforms
GitHub
Linux
Developer tools
Rest API
gRPC
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Growth
Hiring Momentum
58/100
Growing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~6 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
50% ▼
DevOps
25% ▼
Sales
25% ▼
Activity Timeline
Added Linux to stack
Sep 2026
Added Python to stack
Sep 2026
Added GitHub to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Amsterdam
Amsterdam
Netherlands
HQ
4 open roles 75% engineering 25% remote 50-200 est. staff
hires for Backend, DevOps, Sales
Jobs
≈ $55k – $101k per year (Estimated) • Equity • In office • Amsterdam
Rust
Polars
DevOps
Rest API
gRPC
GitHub
Linux
Apply
≈ $55k – $104k per year (Estimated) • Equity • In office • Amsterdam
Rust
Polars
DevOps
GitHub
Apply
≈ $55k – $104k per year (Estimated) • Equity • In office • Amsterdam
Rust
Polars
DevOps
GitHub
Apply
Financials
Total raised
$19.4M
Latest round
Series A
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Series A | 2025 | $19.4M | Details |

Accel 




