Head to head
DBHub vs Dataset Join & Merge
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
No reviews yet
Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite
Full listing
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Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (85 and 88 out of 100). Dataset Join & Merge is hosted and callable through the gateway; DBHub runs on your own machine. DBHub has noticeably more public adoption.
| DBHub | Dataset Join & Merge | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A85/100 | A88/100 |
| Adoption | Widely used | Growing |
| GitHub stars | 3.5k | 0 |
| Downloads / week | 21k | – |
| Runs where | Your machine (local) | Hosted (remote) |
| Gateway-ready | No | Yes |
| Tools | — | 2 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | MIT | — |
| Last release | 2026-09-19 | 2026-09-13 |
| Category | Databases | Databases |