head to head · open source
Cube vs sql-data-warehouse-project
Cube has 21,190 GitHub stars, 2,183 forks, 1,185 open issues and last shipped yesterday. sql-data-warehouse-project has 1,064 stars, 748 forks, 5 open issues and last shipped 2 days ago. Cube leads on adoption by 1,892% (21,190 vs 1,064 stars). Cube is written in Rust under a custom or non-standard licence; sql-data-warehouse-project is written in TSQL under MIT. Cube has attracted 10% as many forks as stars, sql-data-warehouse-project 70%. 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 | sql-data-warehouse-project | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 1.1K |
| License | Custom / other | MIT |
| Written in | Rust | TSQL |
| Last push | 2026-11-07 | 2026-11-06 |
| Forks | ⑂ 2.2K | ⑂ 748 |
| 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 sql-data-warehouse-project if
- You want the sql-data-warehouse-project feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TSQL
- You evaluated both and sql-data-warehouse-project 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 sql-data-warehouse-project
Data Warehouse and Analytics Project The materials of the data warehouse project: the source files, every script from the videos, and the docs. ⭐ If this project helps you, star the repository so other learners can find it too. You take raw files from two systems, a CRM and an ERP, and build one data warehouse in SQL Server. At the end, the data is clean and ready for analysis. New here? Open the setup guide in the 00 setup folder. It walks you through installing SQL Server and creating the database, on Windows and Mac, with the fixes for the common errors. The project reads the six files from C:\sql\dwh…
read the full sql-data-warehouse-project overview →
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Frequently asked questions
Is Cube or sql-data-warehouse-project more popular?
Cube has 21,190 GitHub stars and sql-data-warehouse-project has 1,064. Cube has the larger community by that measure.
Are Cube and sql-data-warehouse-project free?
Both are open source. Cube has no licence declared in this registry, and sql-data-warehouse-project is licensed under MIT. Both are free to self-host.
What is the difference between Cube and sql-data-warehouse-project?
Cube is written in Rust and sql-data-warehouse-project in TSQL. 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 sql-data-warehouse-project?
Choose Cube if you want the larger community (21,190 stars) or its Custom / other licence terms. Choose sql-data-warehouse-project if its feature set, stack or MIT licence fits better. Both are self-hostable.