Airtable vs Smartsheet

Detailed side-by-side comparison to help you choose the right tool

Airtable

🟢No Code

AI Development Assistants

Relational database platform that combines spreadsheet simplicity with database power, enabling teams to build custom workflows, automate processes, and create apps without code.

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Starting Price

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Smartsheet

Project Management

Smartsheet provides AI tools for work management, using large language models with Smartsheet data to deliver context-aware assistance while emphasizing data privacy.

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Starting Price

Custom

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Feature Comparison

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Feature	Airtable	Smartsheet
Category	AI Development Assistants	Project Management
Pricing Plans	12 tiers	4 tiers
Starting Price
Key Features

💡 Our Take

Choose Airtable if you want flexibility, modern UX, and an AI-native automation layer for marketing, product, and ops. Choose Smartsheet if you're in construction, PMO, or enterprise project management and need Gantt-first scheduling, resource management, and deep governance. Smartsheet skews traditional and enterprise; Airtable skews flexible and team-led.

Airtable - Pros & Cons

Pros

✓Used by 500,000+ organizations including ~80% of the Fortune 100, giving it deep ecosystem maturity and proven enterprise reliability
✓True relational database features — linked records, rollups, lookups, and 100+ formula functions — inside a spreadsheet-style interface anyone can learn
✓Interface Designer builds custom apps on top of your data without code, replacing separate portal or dashboard tools
✓Six distinct view types (grid, kanban, calendar, gallery, timeline, Gantt) let each stakeholder see the same data in the format they need
✓25,000 automation runs/month on Team ($20/user/mo) with 1,000+ integrations via native connectors, Zapier, and Make
✓Built-in Airtable AI and Cobuilder features add categorize/summarize/extract actions at the field level, bringing LLMs inside the database
✓Free read-only and commenter collaborators keep costs predictable when sharing with stakeholders and external reviewers

Cons

✗Free plan caps at 1,000 records per base, 100 automation runs/month, and only 5 editors — most active teams outgrow it within weeks
✗Performance degrades noticeably once tables exceed ~50,000 records; very large datasets belong in a real database
✗Per-editor pricing ($20/user/mo Team, $45/user/mo Business) compounds quickly for larger teams compared to flat-fee competitors
✗Reporting is limited to basic charts and pivots; serious BI work still requires exporting to Tableau, Looker, or Power BI
✗API rate limit of 5 requests/second per base can bottleneck integrations and custom apps under heavy load