head to head · open source
Cube vs pgsync
Cube has 21,147 GitHub stars, 2,179 forks, 1,185 open issues and last shipped yesterday. pgsync has 1,433 stars, 213 forks, 216 open issues and last shipped yesterday. Cube leads on adoption by 1,376% (21,147 vs 1,433 stars). Cube is written in Rust under a custom or non-standard licence; pgsync is written in Python under MIT. Cube has attracted 10% as many forks as stars, pgsync 15%. 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 | pgsync | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 1.4K |
| License | Custom / other | MIT |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.2K | ⑂ 213 |
| 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 pgsync if
- You want the pgsync feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and pgsync 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 pgsync
PGSync Real time PostgreSQL to Elasticsearch/OpenSearch sync Keep your relational database as the source of truth while powering lightning fast search Live Demo ↗ · Website · Documentation · Examples · Report Bug What is PGSync? PGSync is a change data capture tool that syncs data from PostgreSQL , MySQL , or MariaDB to Elasticsearch or OpenSearch in real time. Define your document structure in JSON, and PGSync handles the rest — no custom code required. Django integration: Use django pgsync to integrate PGSync with Django projects. PGSync Pro: Add real time semantic and hybrid search to Elasticsearch or…
read the full pgsync overview →
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Frequently asked questions
Is Cube or pgsync more popular?
Cube has 21,147 GitHub stars and pgsync has 1,433. Cube has the larger community by that measure.
Are Cube and pgsync free?
Both are open source. Cube has no licence declared in this registry, and pgsync is licensed under MIT. Both are free to self-host.
What is the difference between Cube and pgsync?
Cube is written in Rust and pgsync 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 pgsync?
Choose Cube if you want the larger community (21,147 stars) or its Custom / other licence terms. Choose pgsync if its feature set, stack or MIT licence fits better. Both are self-hostable.