head to head · open source
Cube vs genblaze
Cube has 21,147 GitHub stars, 2,179 forks, 1,185 open issues and last shipped yesterday. genblaze has 552 stars, 30 forks, 65 open issues and last shipped 3 days ago. Cube leads on adoption by 3,731% (21,147 vs 552 stars). Cube is written in Rust under a custom or non-standard licence; genblaze is written in Python under MIT. Cube has attracted 10% as many forks as stars, genblaze 5%. 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 20902 open source comparisons
Side by side
| Cube | genblaze | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 552 |
| License | Custom / other | MIT |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 2.2K | ⑂ 30 |
| 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 genblaze if
- You want the genblaze feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and genblaze 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 genblaze
Genblaze Pipeline SDK for AI generated video, audio, and images with built in provenance. Genblaze is an AI pipeline SDK by Backblaze for building and orchestrating generative media workflows across video, image, and audio. A unified Pipeline API spans providers like OpenAI, Google, Runway, Luma, ElevenLabs, and Stability Audio, plus models served through platforms such as GMI Cloud and NVIDIA NIM ( build.nvidia.com ) — so you swap providers without rewriting orchestration. Every run produces a canonical provenance manifest you can embed directly into media files ( .mp4 , .png , .mp3 , …) and persist to…
read the full genblaze 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 genblaze more popular?
Cube has 21,147 GitHub stars and genblaze has 552. Cube has the larger community by that measure.
Are Cube and genblaze free?
Both are open source. Cube has no licence declared in this registry, and genblaze is licensed under MIT. Both are free to self-host.
What is the difference between Cube and genblaze?
Cube is written in Rust and genblaze 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, Cube or genblaze?
Choose Cube if you want the larger community (21,147 stars) or its Custom / other licence terms. Choose genblaze if its feature set, stack or MIT licence fits better. Both are self-hostable.