Make vs Zapier: Which Automation Platform Fits Your Team?
Make
Visual workflow automation with credit-based pricing and 3,000+ integrations.
Zapier
The no-code automation platform with 9,000+ app integrations.
Verdicts by Task
Faster to build, more integrations, and complexity never materializes for two-step Zaps.
At high volume the per-task pricing erodes this win — re-evaluate past ~10K tasks/month.
Routers, iterators, and native error handling express logic that requires contortions in Zapier.
Budget onboarding time — teams coming from Zapier underestimate the canvas learning curve.
Operations-based pricing scales roughly 2x cheaper than per-task at equivalent workloads.
If engineering time is available, self-hosted n8n beats both on cost — see our n8n vs Zapier comparison.
Feature Comparison
| Dimension | Make | Zapier |
|---|---|---|
| AI-native | AI-Powered | AI-Powered |
| Pricing | Operations-based; roughly half of Zapier's cost at equivalent volume | Per-task; predictable but adds up fast at high volume |
| Integrations | 1,800+ apps | 7,000+ apps, including the long tail |
| Workflow complexity | Visual canvas with routers, iterators, and error handlers | Linear Zaps with paths; complex logic gets awkward |
| Learning curve | Steeper — the canvas rewards but requires investment | Gentlest on-ramp in the category |
| AI features | AI modules within scenarios | Zapier Agents (GA June 2026) — capable but pricing still opaque |
Make wins on cost at any meaningful volume
Zapier wins if your stack includes niche SaaS
Make wins for branching, loops, and data transformation
Zapier wins for non-technical first-time builders
Even — both evolving fast; neither is a deciding factor yet
Still deciding between these two?
Choosing is the easy part. Getting it running inside your business, on your data, with your team using it, is the work. We do both.
The conversation runs on Gnosari, one of the tools in this directory. A real conversation, not a sales script.