One is a web application that writes SQL for thirty engines. The other is a desktop application that runs the SQL it writes, for two.
Checked against SQLAI.ai’s published documentation in August 2026. Their site
Written first, because a comparison page that cannot name a single advantage for the other tool is not a comparison.
A generator hands you SQL; you paste it into a client and find out whether it was right. SQLore holds the connection itself, so it introspects the live catalog for keys, types and distinct values, executes the query read-only, and reports the rows, the count and the time alongside the SQL. The loop closes inside the tool rather than inside your afternoon.
A web tool that generates against your schema needs your schema. SQLore is installed on your machine: credentials are stored locally and never transmitted, the retrieval index is built and searched locally, and with a local model configured, the generation step is local too — at which point nothing about your database leaves the network at all.
Thirty engines is a genuine advantage if your data is spread across them and a marketing number if it is not. SQLore reads each supported engine's own catalog and generates for what that server actually accepts — ONLY_FULL_GROUP_BY, collation, version-gated window functions on MySQL; search_path, jsonb and partitioning on Postgres.
| SQLore | SQLAI.ai | |
|---|---|---|
| Deployment | Desktop app (macOS, Windows) | Web application |
| Databases supported | PostgreSQL, MySQL | 30+ types |
| Connects and executes | Yes — read-only, self-correcting | Generation-focused |
| Works with no internet | Yes, on a local model | No — it is a web app |
| Where credentials live | Your machine | Their service, where connected |
| Test data generation | No | Yes |
Both products ship regularly. Verify anything in this table against the vendor’s current documentation before it decides a purchase.
Start free, upgrade when you are asking enough questions for it to matter.
