Airtable
Databricks
| Feature | ||
|---|---|---|
| Pricing | Free / from $20/mo | Free / from $0.07/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | operations, marketing-teams, no-code-builders, agencies | data-engineering-teams, ml-teams, enterprises, large-scale-analytics |
| Founded | 2012 | 2013 |
| Databases | ✓ | ✗ |
| Views | ✓ | ✗ |
| Automations | ✓ | ✗ |
| Interfaces | ✓ | ✗ |
| Api | ✓ | ✗ |
| Extensions | ✓ | ✗ |
| Data Lakehouse | ✗ | ✓ |
| Sql Analytics | ✗ | ✓ |
| Machine Learning | ✗ | ✓ |
| Real Time Streaming | ✗ | ✓ |
| Data Governance | ✗ | ✓ |
| Notebooks | ✗ | ✓ |
| Delta Lake | ✗ | ✓ |
✓ Airtable Pros
- Powerful database views
- Great API
- Interface designer
- Automations
✗ Airtable Cons
- Expensive
- Row limits
- Complex for simple needs
✓ Databricks Pros
- Unified platform for data engineering, science, and analytics
- Delta Lake provides ACID transactions on data lakes
- Excellent ML/AI capabilities with MLflow integration
- Community Edition is free for learning
✗ Databricks Cons
- Complex pricing with DBU credits
- Requires data engineering expertise to configure
- Vendor lock-in once deeply integrated
The Verdict
Airtable is built for operations and marketing teams, with a focus on databases and views. Databricks targets data engineering teams and ml teams and leads with data-lakehouse and sql-analytics.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $20/mo for Airtable. That $19.93/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Databricks offers broader built-in capabilities (7 features vs 6), while Airtable takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.