Side by side
Miller vs Polars
Both stand on data transformation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacSelf-hosted+1
Choose Miller if you want a free, open-source command-line tool for querying, reshaping, and converting structured data across many formats. Its record-at-a-time processing and named-field approach suit workflows that reshape or inspect structured records.
Visit Miller
Free plan APILinuxMac+3
Polars offers a free library for data manipulation, with cloud and on-premises options for broader deployment needs. Its streaming API and wide format support are useful features, while the stated On-Prem Self-Serve limits matter for larger cluster setups.
Visit PolarsThe facts
| Miller | Polars | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Self-hosted, Windows | API, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | miller.readthedocs.io | pola.rs |
| On data transformation tools | #18 of 37 | #22 of 37 |
Miller: what it does well
- Works with many delimited, structured, and text data formats.
- Transforms named fields without positional column counting.
- Most operations process records one at a time.
- Single binary with no runtime dependencies.
- Includes an MCP server that opens no network port.
What to know first
- Transformations use a code-based command-line interface.
- Deployment is self-hosted.
Polars: what it does well
- Open-source library is free under the MIT license.
- Streaming API can process datasets larger than memory.
- Supports multiple file formats and cloud storage services.
- Polars Cloud scales queries from local execution to a cluster.
- On-Prem supports air-gapped Enterprise deployments.
What to know first
- Polars Cloud's 30-day trial begins after connecting a workspace to AWS.
- Polars Cloud is available on AWS.
- On-Prem Self-Serve is limited to one concurrent cluster.
- On-Prem Self-Serve is capped at 64 nodes.
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