head to head · open source

rustfs vs bigquery-utils

rustfs has 35,662 GitHub stars, 1,641 forks, 28 open issues and last shipped yesterday. bigquery-utils has 1,314 stars, 336 forks, 64 open issues and last shipped 4 months ago. rustfs leads on adoption by 2,614% (35,662 vs 1,314 stars). rustfs is written in Rust under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. rustfs has attracted 5% as many forks as stars, bigquery-utils 26%. rustfs was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

rustfs ★ 36K bigquery-utils ★ 1.3K category Data & Analytics

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Side by side

rustfs bigquery-utils
GitHub stars ★ 36K ★ 1.3K
License Apache-2.0 Apache-2.0
Written in Rust Jupyter Notebook
Last push 2026-11-02 2026-07-03
Forks ⑂ 1.6K ⑂ 336
Self-hosting Yes Yes
Data ownership Your server Your server

pick rustfs if

  • You weight community size — 36K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Rust
  • You value the larger contributor base for long-term maintenance

full rustfs profile →

pick bigquery-utils if

  • You want the bigquery-utils feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Jupyter Notebook
  • You evaluated both and bigquery-utils fits your workflow better

full bigquery-utils profile →

About rustfs

RustFS is a high performance, distributed object storage system built in Rust. Getting Started · Docs · Bug reports · Discussions English 简体中文 Deutsch Español français 日本語 한국어 Portuguese Русский RustFS is a high performance, distributed object storage system built in Rust—one of the most loved programming languages worldwide. RustFS combines the simplicity of MinIO with the memory safety and raw performance of Rust. It offers broad S3 API compatibility for supported features, is completely open source, and is optimized for data lakes, AI, and big data workloads. Unlike other storage systems, RustFS is released…

read the full rustfs overview →

About bigquery-utils

BigQuery Utils BigQuery is a serverless, highly scalable, and cost effective cloud data warehouse with an in memory BI Engine and machine learning built in. This repository provides useful utilities to assist you in migration and usage of BigQuery. Getting Started This repository is broken up into: Dashboards Pre built dashboards for common use cases System Tables Looker Studio Dashboards built on BigQuery's INFORMATION SCHEMA metadata views to understand organization's slot and reservation utilization, job execution, and job errors. Notebooks Colab notebooks for various BigQuery related use cases. BigQuery…

read the full bigquery-utils overview →

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Frequently asked questions

Is rustfs or bigquery-utils more popular?

rustfs has 35,662 GitHub stars and bigquery-utils has 1,314. rustfs has the larger community by that measure.

Are rustfs and bigquery-utils free?

Both are open source. rustfs is licensed under Apache-2.0 and bigquery-utils under Apache-2.0. Neither carries a licence fee.

What is the difference between rustfs and bigquery-utils?

rustfs is written in Rust and bigquery-utils in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, rustfs or bigquery-utils?

Choose rustfs if you want the larger community (35,662 stars) or its Apache-2.0 licence terms. Choose bigquery-utils if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.