head to head · open source

ClickHouse vs bigfunctions

ClickHouse has 49,966 GitHub stars, 8,971 forks, 7,547 open issues and last shipped today. bigfunctions has 759 stars, 70 forks, 31 open issues and last shipped 27 days ago. ClickHouse leads on adoption by 6,483% (49,966 vs 759 stars). ClickHouse is written in C++ under Apache-2.0; bigfunctions is written in Python under MIT. ClickHouse has attracted 18% as many forks as stars, bigfunctions 9%. ClickHouse 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.

ClickHouse ★ 50K bigfunctions ★ 759 category Data & Analytics

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Side by side

ClickHouse bigfunctions
GitHub stars ★ 50K ★ 759
License Apache-2.0 MIT
Written in C++ Python
Last push 2026-09-19 2026-08-23
Forks ⑂ 9.0K ⑂ 70
Self-hosting Yes Yes
Data ownership Your server Your server

pick ClickHouse if

  • You weight community size — 50K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full ClickHouse profile →

pick bigfunctions if

  • You want the bigfunctions feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and bigfunctions fits your workflow better

full bigfunctions profile →

About ClickHouse

ClickHouse is an open source, column oriented database management system written in C++ that delivers real time analytical query performance on massive datasets. It operates within the broader data infrastructure ecosystem, serving as a high performance alternative to traditional row oriented databases for OLAP workloads.

read the full ClickHouse overview →

About bigfunctions

BigFunctions is an open source Python framework, released under the MIT licence, for building a governed catalog of BigQuery functions — packaged with a community library of more than 150 functions that can be called directly or redeployed — and it is aimed at data engineers, analysts, and teams working inside Google BigQuery.

read the full bigfunctions overview →

More in Data & Analytics

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Frequently asked questions

Is ClickHouse or bigfunctions more popular?

ClickHouse has 49,966 GitHub stars and bigfunctions has 759. ClickHouse has the larger community by that measure.

Are ClickHouse and bigfunctions free?

Both are open source. ClickHouse is licensed under Apache-2.0 and bigfunctions under MIT. Neither carries a licence fee.

What is the difference between ClickHouse and bigfunctions?

ClickHouse is written in C++ and bigfunctions in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ClickHouse or bigfunctions?

Choose ClickHouse if you want the larger community (49,966 stars) or its Apache-2.0 licence terms. Choose bigfunctions if its feature set, stack or MIT licence fits better. Both are self-hostable.