Comparison
Glattice vs Airtable
The short version
| Dimension | Airtable | Glattice |
|---|---|---|
| Board structure | Kanban view groups by one single-select field. | Two axes. Any facet on the rows, any other on the columns. |
| Changing the question | Change the grouping field; the board is a view over a table. | Swap the axes in one click; the same cards re-sort. |
| Public API | Well-documented REST API with API keys and rate limits. | REST, 76 documented endpoints, not tier-gated. |
| AI agents | AI agents and an MCP surface within the Airtable platform. | Remote MCP server over OAuth 2.1; agents read and write the same board. |
| Change history | Record revision history. | Append-only, tagged with the interface behind each change. 30 days on Free. |
| Seats | Every editor is a paid seat. | Viewers and billing-only members are free; you pay for people who edit. |
| Entry price | Free tier; paid from around $20/seat/month. | Free for 5 boards per space; Pro $5/month. |
Where Airtable is strong
A comparison that concedes nothing is not worth reading, so here is the honest read on where Airtable earns its place — and where the two of us are simply built for different jobs.
- Formulas, rollups, lookups and linked records — a genuine relational model with a spreadsheet's approachability.
- Automations and the interface builder, which turn a base into an internal app rather than a board.
- A mature platform with native mobile apps and a large marketplace behind it.
Where Glattice is different
The board is the primary artefact, not a view over a table, so both axes are real and interchangeable and a drag sets both values at once. Beyond that, the API relationship is inverted: Airtable’s API is a way to reach your base from outside, whereas the Glattice web app is itself an API client — direct database access is banned in CI — so the surface an agent gets over MCP is by construction the same one the browser uses.
Moving from Airtable
Export a table as CSV and import it, choosing which two fields become the axes. Formulas and linked records will not survive the trip; plain fields will. Export back to JSON or CSV whenever you want, on any plan.