head to head · open source
Cube vs chunjun
Cube has 21,147 GitHub stars, 2,179 forks, 1,185 open issues and last shipped yesterday. chunjun has 4,106 stars, 1,683 forks, 287 open issues and last shipped 25 days ago. Cube leads on adoption by 415% (21,147 vs 4,106 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.
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Side by side
| Cube | chunjun | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 4.1K |
| License | Custom / other | Apache-2.0 |
| Written in | Rust | Java |
| Last push | 2026-11-02 | 2026-10-09 |
| Forks | ⑂ 2.2K | ⑂ 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
Website • Docs • Examples • Blog • Slack • X Cube Core is the open source semantic layer. Define metrics, dimensions, joins, and access rules once in code, then expose them through SQL, REST, and GraphQL APIs to anything downstream — BI tools, custom applications, or AI agents. Cube Core is headless: it doesn't ship a UI, so you can build the analytics experience that fits your product. Cube Core works with all SQL data sources, including cloud data warehouses like Snowflake, Databricks, and BigQuery; query engines like Presto and Amazon Athena; and application databases like Postgres. It has a built in…
About chunjun
ChunJun Introduce ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Official website of ChunJun: Features of ChunJun ChunJun abstracts different databases into reader/source plugins, writer/sink plugins and lookup plugins, and it has the following features: Based on the real time computing engine Flink, and supports JSON template…
read the full chunjun overview →
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Frequently asked questions
Is Cube or chunjun more popular?
Cube has 21,147 GitHub stars and chunjun has 4,106. 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 (21,147 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.