Make vs Miro
A direct comparison of two productivity & workflow tools — what each does well, where each falls short, and which is the better fit depending on your situation.
Make
Make
Visual workflow automation for complex processes
Miro
Miro
AI-powered visual collaboration workspace for teams
Feature Comparison
| Make | Miro | |
|---|---|---|
| Company | Make | Miro |
| Founded | 2012 | 2011 |
| Pricing | Free tier · Core $9/mo · Pro $16/mo · Teams $29/mo | Free tier · Starter $10/mo · Business $20/mo · Enterprise custom |
| Key features |
|
|
Make
Pros
- +Visual canvas makes complex multi-branch workflow logic comprehensible
- +Handles data transformation and conditional logic that simpler tools can't
- +More affordable than Zapier for equivalent operation counts
- +Excellent error handling and retry logic for production-grade automation
- +1,000+ app integrations with detailed control over request/response handling
Cons
- −Steeper learning curve than Zapier — not instant for first-time automation builders
- −Visual complexity of large workflows can become hard to navigate
- −Less polished UI and documentation than Zapier
- −AI assistance for workflow building less advanced than Zapier's AI features
Miro
Pros
- +AI operates directly on board content — no need to copy-paste into a separate tool
- +Generates diagrams, docs, and summaries from existing sticky notes and canvas content
- +AI Sidekicks act as custom agents within the shared workspace
- +250+ integrations with Jira, Slack, Confluence, and Google Workspace
- +Used by over 90 million users — mature, reliable, and well-documented
Cons
- −AI features consume credits — heavy AI usage requires a paid add-on
- −Can feel overwhelming for teams that only need basic whiteboarding
- −Free plan has limited AI credits per month
- −Some advanced AI features only available on Business and Enterprise plans
Make is best for
- Ops teams needing automation with complex conditional logic and data transformation
- Teams who find Zapier too limiting for multi-branch or non-linear workflows
- Agencies building and maintaining automations for multiple clients cost-effectively
Miro is best for
- Product and design teams running sprints, retros, and planning sessions
- Distributed teams that need a shared visual workspace with AI built in
- Teams already using Jira or Confluence who want AI-assisted visual planning
Bottom line
Make: The right choice for operations teams that have outgrown Zapier's simplicity and need automation with complex conditional logic, data transformation, and robust error handling. The steeper learning curve is worth it when the workflow genuinely requires the flexibility Make provides, and the per-operation pricing is more cost-effective at high volumes.
Miro: The right choice for teams that want AI to work on their actual content — not in a separate chat window. If your team already runs brainstorms, design sprints, or planning sessions on a shared canvas, Miro AI accelerates every stage of that process without changing how you work.