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Hypertab vs Airtable

Airtable is a polished spreadsheet-database. Hypertab is an active table where columns DO things. Both serve teams that outgrew Excel, but the primitives are different — and so are the price models.

TL;DR

Pick Airtable if you need rich views (gantt, gallery, form, calendar) shared across a non-technical team and per-row execution is a side concern. Pick Hypertab if your columns need to DO things — call APIs, run AI prompts, push to integrations — for thousands of rows, and you want an AI agent to operate the table via MCP.

Feature matrix

Feature Hypertab Airtable
Core primitive Active table — columns DO things Spreadsheet-database hybrid — columns hold data
Per-row execution model Native — smart columns run AI/HTTP/integration per row Via Automations panel (separate UI, separate model)
AI-agent access 47 MCP tools, schema-first No MCP. REST API exists, not agent-shaped
Pricing model Per-op (smart-column execution) Per-seat ($24–$54/user/mo)
Free tier ceiling 5K ops/mo, unlimited team seats 1K records/base, 5 editors max
Row capacity (Pro) 50K rows 50K records (Team plan, $24/seat)
Cross-row parallelism Plan-gated 5–200 concurrent DAGs Sequential per automation
Real-time collab Yes — Durable Object per table Yes
Per-tenant DB isolation Yes — separate Turso DB per customer Multi-tenant Postgres
Built-in views Grid, kanban, calendar (roadmap), pipeline tabs Grid, kanban, gallery, calendar, gantt, form
Self-hosted option Roadmap (Q4 2026) No

When Airtable is the right call

  • Rich view variety. Gantt, gallery, calendar, form, kanban — Airtable\'s view library is more mature.
  • Interface builder. Building no-code customer-facing apps on top of your data.
  • Marketplace of templates. Years of community-built bases for common workflows.
  • Pure relational data with light automation. If "the data is the point" and per-row execution is rare.

When Hypertab is the right call

  • Columns DO things. AI prompt per row, HTTP call per row, integration push per row — Hypertab\'s execution engine is built for this.
  • 10K+ row scale. Cross-row parallelism, batch DAG execution, plan-gated up to 200 concurrent.
  • AI agent operates the table. 47 MCP tools — Claude/Cursor/Windsurf can create tables, configure smart columns, monitor runs.
  • Per-op, not per-seat. Read-only access for the whole org without paying $24/user/mo per viewer.
  • Per-tenant DB isolation. Hard security guarantees vs. multi-tenant Postgres.

FAQ

Is Hypertab a replacement for Airtable?
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For workflows where columns DO things (AI prompts, HTTP calls, integrations per row) — yes, Hypertab is purpose-built for that. For pure relational-data UIs with rich views (gantt, gallery, form) shared across a team, Airtable is more polished today. The two tools have meaningful overlap but different centers of gravity.
Can I migrate from Airtable to Hypertab?
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Yes — export each Airtable table as CSV and import via dashboard or hypertab_import_csv. Field types map cleanly (single line text → text, number → number, single select → select, etc.). Airtable Automations need to be rebuilt as smart columns — usually simpler than the original automation, since per-row logic lives on the column.
Why per-op pricing instead of per-seat?
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Per-seat punishes teams that want to give read-access to dozens of stakeholders. Per-op aligns cost with actual compute (smart-column executions). On Hypertab, you can have 50 seats reading the table for free — you only pay when columns DO work.
Does Hypertab have all the views Airtable has?
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Today: grid view, kanban view (column-based grouping), and pipeline tabs (stage-based row routing). Calendar, gallery, form, and gantt views are on the roadmap. If view variety is your top requirement, Airtable is ahead.
What about Airtable Interfaces?
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Hypertab does not have a no-code interface builder. If you need to build customer-facing apps on top of your data without code, Airtable Interfaces is more capable. Hypertab's answer is the API + MCP — your custom UI talks directly to the active table.

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