head to head · open source

cubefs vs bigquery-utils

cubefs has 5,660 GitHub stars, 714 forks, 265 open issues and last shipped 3 days ago. bigquery-utils has 1,312 stars, 337 forks, 64 open issues and last shipped 3 months ago. cubefs leads on adoption by 331% (5,660 vs 1,312 stars). cubefs is written in Go under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. cubefs has attracted 13% as many forks as stars, bigquery-utils 26%. cubefs 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.

cubefs ★ 5.7K bigquery-utils ★ 1.3K category Data & Analytics

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Side by side

cubefs bigquery-utils
GitHub stars ★ 5.7K ★ 1.3K
License Apache-2.0 Apache-2.0
Written in Go Jupyter Notebook
Last push 2026-09-18 2026-07-03
Forks ⑂ 714 ⑂ 337
Self-hosting Yes Yes
Data ownership Your server Your server

pick cubefs if

  • You weight community size — 5.7K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full cubefs 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 cubefs

CubeFS is an Apache 2.0, CNCF graduated cloud native distributed file and object storage system written in Go, built for teams that need POSIX, HDFS, S3, and REST access to a single storage layer across datacenters, private and hybrid clouds, and Kubernetes.

read the full cubefs overview →

About bigquery-utils

Useful scripts, UDFs, views, notebooks, dashboards, and other utilities for migrating to and operating a data warehouse in Google BigQuery, aimed at data engineers, analytics engineers, and migration teams working on Google Cloud Platform.

read the full bigquery-utils overview →

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Frequently asked questions

Is cubefs or bigquery-utils more popular?

cubefs has 5,660 GitHub stars and bigquery-utils has 1,312. cubefs has the larger community by that measure.

Are cubefs and bigquery-utils free?

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

What is the difference between cubefs and bigquery-utils?

cubefs is written in Go 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, cubefs or bigquery-utils?

Choose cubefs if you want the larger community (5,660 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.