Fibery
Retool
| Feature | Fibery | Retool |
|---|---|---|
| Pricing | Free / from $10/mo | Free / from $10/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Best For | product-teams, startups, agencies, connected-workflows | engineering-teams, operations, startups, enterprise |
| Founded | 2018 | 2017 |
| Custom Databases | ✓ | ✗ |
| Bi Directional Relations | ✓ | ✗ |
| Documents | ✓ | ✗ |
| Views | ✓ | ✗ |
| Automations | ✓ | ✗ |
| Ai Assistant | ✓ | ✗ |
| Feedback Management | ✓ | ✗ |
| Drag And Drop | ✗ | ✓ |
| Data Connectors | ✗ | ✓ |
| Custom Code | ✗ | ✓ |
| Workflows | ✗ | ✓ |
| Permissions | ✗ | ✓ |
| Mobile Apps | ✗ | ✓ |
✓ Fibery Pros
- Highly flexible with custom entity types and relations
- Combines PM, wiki, and feedback tools in one platform
- Bi-directional relations between any entities
- AI-powered summaries and content generation
✗ Fibery Cons
- Steep learning curve due to extreme flexibility
- Smaller community than Notion or ClickUp
- Mobile app is limited
✓ Retool Pros
- Fast development
- Many integrations
- Pre-built components
- Good for internal tools
✗ Retool Cons
- Not for customer-facing apps
- Vendor lock-in
- Expensive at scale
The Verdict
Fibery is built for product teams and startups, with a focus on custom-databases and bi-directional-relations. Retool targets engineering teams and operations and leads with drag-and-drop and data-connectors.
Both tools come in at similar price points ($10/mo for Fibery, $10/mo for Retool), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Fibery offers broader built-in capabilities (7 features vs 6), while Retool takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
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.