Why This Decision Matters
The automation platform you choose becomes infrastructure. Migrating 200 workflows from Zapier to n8n is painful. Getting it right the first time — or at least choosing the platform that matches your team's trajectory — is worth the research.
Quick Comparison
| Make.com | Zapier | n8n | |
|---|---|---|---|
| Primary audience | Technically comfortable non-devs | Non-technical business teams | Developers and technical ops |
| Visual builder | Scenario canvas (data flow focus) | Linear step builder | Node graph (most flexible) |
| Integrations | 2,000+ apps | 6,000+ apps | 400+ nodes + custom HTTP |
| Pricing model | Operations-based (data transforms count) | Task-based (per action) | Execution-based / self-host free |
| Self-hosting | Not available | Not available | Yes (open-source) |
| AI features | OpenAI + Claude modules | AI Agents, Copilot | AI Agent nodes, LangChain |
| Code support | No native code | No native code | JavaScript + Python code nodes |
| Free tier | 1,000 ops/month | 100 tasks/month | Self-host: unlimited |
| Pricing from | $9/month (Core) | $20/month (Professional) | $20/month cloud / free self-host |
Where Make.com Stands Out
Visual Data Mapping
Make's scenario canvas shows how data flows between modules with explicit mapping controls. When a webhook delivers a JSON payload, you can see exactly which fields map to which inputs in downstream steps. This is more transparent than Zapier's step-by-step linear view and more accessible than n8n's expression editor for non-developers.
Operations-Based Pricing
Make bills per operation, not per task. A Zap with 5 steps = 5 Zapier tasks. The same flow in Make = 1 scenario run = operations charged per module. For complex multi-step workflows, Make is often significantly cheaper than Zapier at equivalent volume.
Built-in Iterator and Aggregator
Make has native Iterator (process each item in an array one by one) and Aggregator (collect results back into an array) modules. This makes batch processing natural without code. n8n has a Split In Batches node, but Make's implementation is more visually intuitive for non-technical builders.
Where Zapier Wins
Integration breadth: 6,000 apps vs Make's 2,000. If your tool is not in Make, you need a custom HTTP module. If your tool is not in Zapier, you almost certainly need to look elsewhere entirely.
Non-technical accessibility: Zapier's linear step builder is the simplest of the three. For teams where the primary automation builders are not technical (sales, HR, ops), Zapier's UX reduces the learning curve most effectively.
Where n8n Wins
Technical flexibility: JavaScript and Python code nodes, complex branching logic, HTTP request nodes for any API, and self-hosting all make n8n the choice for teams that want full control. Once you are comfortable with n8n's expression syntax and node graph model, it handles workflows that would be workarounds in Make or impossible in Zapier.
Cost at scale: self-hosted n8n has no per-execution costs. For high-volume workflows (tens of thousands of executions per day), n8n infrastructure cost is a fraction of equivalent Make or Zapier pricing.
Decision Guide
| Your situation | Best fit |
|---|---|
| Non-technical team, needs 6,000+ integrations | Zapier |
| Technically comfortable team, wants visual data mapping, < 2,000 integrations sufficient | Make.com |
| Developer or technical ops team, complex logic, cost-sensitive | n8n |
| Data-heavy batch processing workflows | Make.com (iterator/aggregator) or n8n |
| Quick automation for non-technical users with no budget for complexity | Zapier |
| Privacy-sensitive workflows that cannot use third-party cloud | n8n (self-hosted) |
| AI-first workflows with LLM orchestration | n8n (most flexible AI nodes) |
Many mature automation stacks use two tools: Zapier for business team automations (non-technical owners, mainstream SaaS) and n8n for technical workflows (data pipelines, product integrations, AI agents). Make.com tends to be the choice when a team starts with Make and grows into complexity — migration away from Zapier to Make is common, migration from Make to n8n is less so.