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Scale your Polars queries from laptop to production workloads with zero infrastructure management.
Get startedDeploy and scale data processing workloads with zero infrastructure management. Natively built on top of the popular Polars API that data teams know and love.
Build data workloads locally or in the cloud. No more migration, just write once and deploy.
Unified APIBuild data workloads locally or in the cloud. No more migration, just write once and deploy.
Scale out data workloads on a single machine or a cluster with the distributed engine on Polars Cloud.
Provisions compute resources when you need them without managing your own infrastructure.
Eliminate rewrites when your data outgrows a single machine. Polars now scales natively to multi-node clusters, letting you process any dataset without changing a line of code. Faster, more cost-efficient data processing for every team.
Scale your next query →Dataset size: approx. 1TB, Number of queries: 22
Polars 16 x m6i.2xlarge (128vCPU/512GiB) / Glue 16 x Glue.2x (128vCPU/512GiB)
* Costs based on total query runtime and provider markup.
Run the benchmarks yourself with the Polars Benchmark repository
Control
Compute runs in your cloud environment, close to your data. Eliminate transfer costs, reduce latency, and keep control over your data without compromising performance.
Zero setup
Focus on your workloads, not infrastructure. Easily scale from local to distributed workloads. Pay only for compute time used, scale down to zero.
Integration
Connect from notebooks, orchestrators, or cloud functions. Start executing queries at scale from anywhere with just a few lines of code.
Extensible
Extend Polars with your own custom expressions that are fast and easy to use
Start immediately with transparent, usage-based pricing. First 30 days are free.
Pay only for compute resources you use per second. No upfront costs, no minimums, scales down to zero.
Deploy distributed Polars entirely in your infrastructure. Same scalable performance, zero external dependencies.
Comprehensive guides on using Polars Cloud, deployment options, and tutorials to get you up and running quickly.
Explore documentationContact our team to get support for technical questions, implementation guidance, or to discuss product improvements.
Contact supportWrite and test locally, then deploy the exact same Polars code at scale. No other APIs, no refactoring and no handovers to other teams required.
Process more data on single instances before adding distributed complexity. When your workload grows, scale to distributed execution with minimal overhead.
No minimum spend, no idle costs, no surprise bills. You only pay for actual compute used to execute your queries in seconds.