head to head · open source

Airbyte vs Cube

Airbyte has 22,082 GitHub stars, 5,350 forks, 2,395 open issues and last shipped yesterday. Cube has 20,857 stars, 2,138 forks, 1,185 open issues and last shipped yesterday. Airbyte leads on adoption by 6% (22,082 vs 20,857 stars). Airbyte is written in Python under a custom or non-standard licence; Cube is written in Rust under a custom or non-standard licence. Airbyte has attracted 24% as many forks as stars, Cube 10%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (bigquery), so they are genuine substitutes rather than adjacent tools.

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

Airbyte ★ 22K Cube ★ 21K category Data & Analytics

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Side by side

Airbyte Cube
GitHub stars ★ 22K ★ 21K
License Custom / other Custom / other
Written in Python Rust
Last push 2026-09-17 2026-09-17
Forks ⑂ 5.3K ⑂ 2.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Airbyte if

  • You weight community size — 22K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Airbyte profile →

pick Cube if

  • You want the Cube feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Rust
  • You evaluated both and Cube fits your workflow better

full Cube profile →

About Airbyte

Airbyte open source data movement project. It lives in data engineering and data integration ecosystem. It moves data from APIs, databases, and files into warehouses, data lakes, and AI applications. It supports ELT and ETL pipelines. It also supports AI agents needing business data.

read the full Airbyte overview →

About Cube

Cube Core is an open source semantic layer for AI, BI, and embedded analytics. It lives in the data analytics and data engineering ecosystem for SQL warehouses, BI tools, applications, and AI agents. It lets teams define metrics, dimensions, joins, and access rules once in code, then expose them through SQL, REST, and GraphQL APIs. It is headless and ships no user interface.

read the full Cube overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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Frequently asked questions

Is Airbyte or Cube more popular?

Airbyte has 22,082 GitHub stars and Cube has 20,857. Airbyte has the larger community by that measure.

Are Airbyte and Cube free?

Neither Airbyte nor Cube declares a licence in this registry, so check each project's own repository before relying on either for a commercial use. Both are free to self-host.

What is the difference between Airbyte and Cube?

Airbyte is written in Python and Cube in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Airbyte or Cube?

Choose Airbyte if you want the larger community (22,082 stars) or its Custom / other licence terms. Choose Cube if its feature set, stack or Custom / other licence fits better. Both are self-hostable.