Power Automate vs Make: Which Is Better in 2026?
A detailed comparison of Power Automate and Make in the AI Automation space. We compare features, pricing, pros, and cons to help you choose.
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Quick Verdict
Power Automate excels within Microsoft 365 ecosystems, while Make offers a more visual and flexible builder for multi-platform workflows.
Power Automate wins
Ties
Make wins
Feature-by-Feature Comparison
| Feature | Power Automate | Make |
|---|---|---|
| Ease of Use | Intuitive interface | Intuitive interface |
| Integrations | Wide app support | Wide app support |
| Pricing | Task-based pricing | Task-based pricing |
| Complex Workflows | Supported | Supported |
| Self-hosting | Varies | Varies |
| Community | Active community | Active community |
Power Automate Overview
Power Automate is a ai automation tool that competes directly with Make.
Make Overview
Make is a ai automation tool that offers an alternative approach to Power Automate.
Beyond Power Automate vs Make: The ShipSquad Approach
Instead of choosing between individual tools, ShipSquad gives you a complete AI squad — 10 specialized agents that work together. For $99/mo, you get pre-built specialists like Jarvis (research), Loki (strategy), and Fury (execution), plus custom agents tailored to your needs.
Frequently Asked Questions
Is Power Automate better than Make?▾
Power Automate excels within Microsoft 365 ecosystems, while Make offers a more visual and flexible builder for multi-platform workflows.
Power Automate vs Make: which is cheaper?▾
Pricing varies by plan and team size. See our detailed pricing comparison above for the full breakdown of Power Automate and Make plans.
Can I switch from Power Automate to Make?▾
Yes, most AI Automation tools support data export. Check both tools' documentation for migration guides. Key factors: data portability, integration overlap, and team retraining time.
What do users say about Power Automate vs Make?▾
Users choosing between Power Automate and Make typically prioritize different needs. See our feature-by-feature comparison and use-case recommendations above.