Baserow gives you an open-source Airtable you can run yourself. SchemaStack gives you the same kind of interface over the database you already have — and hosts the software so you don't have to.
Both keep you out of a proprietary backend. The choice comes down to who runs the software, and whether you want an AI layer that can design schema safely.
Compared as of August 2026. Baserow ships frequently — worth checking their docs rather than taking a competitor's word for it.
| Capability | SchemaStack | Baserow |
|---|---|---|
Spreadsheet-style data editor | ||
Real-time collaborative editing | ||
REST API over your tables | ||
No per-seat pricing | ||
Points at a Postgres or MySQL database you already own Connect the database your application already uses and work with those tables directly. | ||
Import an existing schema and detect drift Read live tables into the workspace, and get told when the database and metadata diverge. | ||
Open source, self-hostable Baserow's core advantage — inspect it, run it, fork it. | ||
Fully hosted — nothing to run or upgrade Baserow offers hosted plans too; self-hosting is the usual route and carries the ops cost. | ||
MCP server for AI assistants (57 tools) | ||
Connect Claude or ChatGPT with one URL — consent, scoped access, instant revocation Agents work inside the permissions you grant, capped below schema changes; revoking cuts off tokens they already hold. | ||
Migration dry run before a schema change Rows affected, locking behaviour and the SQL, reported before anything is applied. | ||
Computed and aggregate columns over relationships | ||
Mature template gallery and community Baserow has been at this longer and it shows. |
Most tools in this category want to be the origin of your data — you create tables inside them. SchemaStack goes the other way: point it at the Postgres your application already runs on, import the schema, and start working with the tables that are already there.
No internal representation to decode. Your columns are columns, your foreign keys are foreign keys, and any BI tool, backup job or psql session can read them without asking us for permission.
57 MCP tools let an assistant explore, query and design — off by default, with four access levels and keys that can be scoped to named tables. Structural changes can be previewed first: migration or not, rows affected, what locks, what SQL.
Validation rules enforced on write, computed columns from SQL expressions, aggregates across relationships, and indexes you can create from the interface. The things you would otherwise drop into a migration file to add.
Baserow is a genuinely good open-source project. Several situations point straight at it:
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