head to head · open source
Cube vs chunjun
Cube has 20,857 GitHub stars, 2,138 forks, 1,185 open issues and last shipped yesterday. chunjun has 4,101 stars, 1,683 forks, 287 open issues and last shipped 10 months ago. Cube leads on adoption by 409% (20,857 vs 4,101 stars). Cube is written in Rust under a custom or non-standard licence; chunjun is written in Java under Apache-2.0. Cube has attracted 10% as many forks as stars, chunjun 41%. Cube 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.
← all 8884 open source comparisons
Side by side
| Cube | chunjun | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 4.1K |
| License | Custom / other | Apache-2.0 |
| Written in | Rust | Java |
| Last push | 2026-09-17 | 2025-12-02 |
| Forks | ⑂ 2.1K | ⑂ 1.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Cube if
- You weight community size — 21K stars and counting
- You want the Custom / other license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick chunjun if
- You want the chunjun feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and chunjun fits your workflow better
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.
About chunjun
ChunJun is a Java based, Apache 2.0 licensed data integration framework that lives in the Apache Flink big data ecosystem. It is a distributed framework for synchronization and calculation between heterogeneous data sources, and it was initially known as FlinkX before being renamed ChunJun on February 22, 2022.
read the full chunjun overview →
More in Data & Analytics
Related comparisons
More Data Engineering & Integration projects
Compare either of these against the rest of the Data Engineering & Integration field.
Frequently asked questions
Is Cube or chunjun more popular?
Cube has 20,857 GitHub stars and chunjun has 4,101. Cube has the larger community by that measure.
Are Cube and chunjun free?
Both are open source. Cube has no licence declared in this registry, and chunjun is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Cube and chunjun?
Cube is written in Rust and chunjun in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Cube or chunjun?
Choose Cube if you want the larger community (20,857 stars) or its Custom / other licence terms. Choose chunjun if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.