Uchiflow vs Make
Make offers powerful visual automation. But when you need AI to actually understand your data, not just move it, Uchiflow delivers.
Key differences
What sets Uchiflow apart from Make
Uchiflow doesn't just move data between apps. It analyzes, summarizes, and extracts insights. Make routes data; Uchiflow interprets it.
Daily analytics digests, weekly reports, real-time monitoring. Uchiflow is designed for recurring AI analysis, not just event triggers.
Version control, A/B testing, rollback. Treat prompts like code. Make has no equivalent tooling.
One interface for Claude, GPT, Gemini. Switch models without rebuilding workflows. Make requires separate modules per provider.
Feature comparison
Side-by-side comparison of capabilities
| Feature | Uchiflow | M Make |
|---|---|---|
KeyAI-native architecture | ||
KeyPrompt version control | ||
Multi-model support | Unified | Separate modules |
Visual workflow builder | ||
Complex branching logic | ||
Data transformation | ||
Error handling | ||
Scheduled triggers | ||
Webhook triggers | ||
API integrations | 10+ | 1000+ |
Operations-based pricing | ||
Run-based pricing | ||
KeyAI cost transparency | ||
Enterprise SSO |
Pricing comparison
How costs compare at different tiers
| Tier | Uchiflow | M Make |
|---|---|---|
| Free | 100 runs/mo | 1,000 ops/mo |
| Core | $29/mo (1,000 runs) | $10.59/mo (10,000 ops) |
| Pro | $79/mo (5,000 runs) | $18.82/mo (10,000 ops) |
| Teams | Custom | $34.12/mo (10,000 ops) |
Uchiflow uses run-based pricing. 1 workflow execution = 1 run, regardless of steps.
Fair assessment: use cases where Make may be the better choice
- Complex data transformation workflows
- Teams that need 1000+ integrations
- Visual-first automation builders
- High-volume, simple operations
Areas where Make falls short
- AI modules feel like add-ons, not core features
- No prompt versioning or management
- Operations-based pricing can be unpredictable
- Each AI provider requires separate configuration
- Steep learning curve for complex scenarios
Switch to Uchiflow if...
Reasons to make the move from Make
You need AI to analyze data, not just route it
Prompt versioning is important for your team
You want one interface for all AI models
Predictable run-based pricing matters
You focus on recurring analysis, not one-off triggers
Uchiflow vs Make FAQ
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