head to head · open source

Cube vs sqlmesh

Cube has 20,857 GitHub stars, 2,138 forks, 1,185 open issues and last shipped yesterday. sqlmesh has 3,291 stars, 453 forks, 304 open issues and last shipped 2 days ago. Cube leads on adoption by 534% (20,857 vs 3,291 stars). Cube is written in Rust under a custom or non-standard licence; sqlmesh is written in Python under Apache-2.0. Cube has attracted 10% as many forks as stars, sqlmesh 14%. 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.

Cube ★ 21K sqlmesh ★ 3.3K category Data & Analytics

← all 8884 open source comparisons

Side by side

Cube sqlmesh
GitHub stars ★ 21K ★ 3.3K
License Custom / other Apache-2.0
Written in Rust Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 2.1K ⑂ 453
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

full Cube profile →

pick sqlmesh if

  • You want the sqlmesh feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and sqlmesh fits your workflow better

full sqlmesh profile →

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 →

About sqlmesh

SQLMesh is an open source Python data transformation framework released under Apache 2.0. It lives in the data engineering and analytics ecosystem, where teams build, test, and deploy SQL or Python transformations. The project is under the Linux Foundation umbrella and is described as backwards compatible with dbt.

read the full sqlmesh overview →

More in Data & Analytics

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

Related comparisons

airbyte vs cube cube vs shardingsphere cube vs debezium cube vs cocoindex airbyte vs shardingsphere airbyte vs debezium shardingsphere vs debezium airbyte vs cocoindex crawl4ai vs scrapling crawl4ai vs scrapy scrapling vs scrapy crawl4ai vs easyspider scrapling vs easyspider crawl4ai vs changedetection-io scrapling vs changedetection-io crawl4ai vs lux mermaid vs apache-superset mermaid vs echarts apache-superset vs echarts mermaid vs metabase mermaid vs pixijs mermaid vs diagram-design apache-superset vs metabase apache-superset vs pixijs

More Data Engineering & Integration projects

Compare either of these against the rest of the Data Engineering & Integration field.

Cube vs Airbyte Cube vs shardingsphere Cube vs debezium Cube vs CocoIndex Cube vs seatunnel Cube vs steampipe Cube vs realtime Cube vs CloudQuery Cube vs flink-cdc Cube vs Lightdash Cube vs fluvio Cube vs whodb

Frequently asked questions

Is Cube or sqlmesh more popular?

Cube has 20,857 GitHub stars and sqlmesh has 3,291. Cube has the larger community by that measure.

Are Cube and sqlmesh free?

Both are open source. Cube has no licence declared in this registry, and sqlmesh is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Cube and sqlmesh?

Cube is written in Rust and sqlmesh 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 sqlmesh?

Choose Cube if you want the larger community (20,857 stars) or its Custom / other licence terms. Choose sqlmesh if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.