Choosing the wrong automation platform costs you money twice — once when you build on it, and again when you migrate off it. Here's how n8n, Zapier, and Make actually compare in 2025.

Quick verdict
n8n for technical teams that need self-hosting, unlimited scale, and AI-native nodes. Zapier for non-technical teams that need to connect common SaaS apps today with zero setup. Make for teams that need visually complex multi-path workflows at a moderate task volume. Most businesses outgrow Zapier — plan for it.

Pricing comparison

Pricing is where the platforms diverge most dramatically at scale. Zapier's task-based billing model means costs grow linearly with volume — and the numbers get uncomfortable fast once you're processing tens of thousands of tasks per month.

PlatformFree PlanStarterScaleNotes
n8n CloudSelf-host free forever$20/mo (2,500 workflow executions)Custom — contact salesUnlimited workflows; open-source core; no per-task fees on self-hosted
Zapier5 Zaps, 100 tasks/mo$19.99/mo (750 tasks)$103.50/mo (2,000 tasks)Task-based billing; costs compound fast at high volume; 7,000+ app integrations
Make (Integromat)1,000 operations/mo$9/mo (10,000 ops)$29/mo (40,000 ops)Operation-based pricing; significantly cheaper than Zapier at scale; strong visual builder
Pricing comparison across n8n, Zapier, and Make (June 2025). Self-hosted n8n is free for unlimited executions.

Feature comparison: Zapier vs n8n

Zapier leads on ease of entry and breadth of pre-built connectors. n8n leads on everything else that matters once you're building serious automation infrastructure.

Zapier vs n8n — feature by feature

Zapier
n8n
Pricing model
Per-task billing — expensive at scale
Per-execution (cloud) or free on self-host
Self-hosting
Not available — cloud only
Full Docker/Kubernetes self-host; complete data control
Code execution
No custom code — visual only
Native JavaScript and Python Code nodes with full npm access
AI / LLM nodes
Basic OpenAI action via Zapier AI; limited control
First-class AI agent nodes, LangChain integration, tool-calling agents
Error handling
Basic retry; limited error branching
Error workflows, per-node Continue On Fail, sub-workflow error catching
Community templates
Large library of Zap templates (7,000+ apps)
Growing template library; strong Discord and GitHub community
Learning curve
Minimal — non-technical users productive in hours
Moderate — more powerful but requires more setup time
Best for
Non-technical teams; fast SaaS-to-SaaS integrations; simple triggers
Engineering teams; data-sensitive workflows; AI-native automation; scale
Automation workflow dashboard with connected nodes and flow diagrams
n8n's canvas editor: every node is inspectable, the data flow is visible at each step, and code nodes drop in anywhere.

n8n deep dive

n8n is an open-source workflow automation platform with a fair-code licence that lets you self-host for free and modify the source. What separates it from Zapier and Make isn't just cost — it's the architecture. Code nodes let you run arbitrary JavaScript or Python inline. AI agent nodes integrate directly with OpenAI, Anthropic, and Ollama. Sub-workflows allow you to build modular, reusable automation components. And because the entire platform runs in a Docker container you control, your data never leaves your infrastructure.

  • Pros: Zero per-task cost on self-hosted; full JavaScript/Python in Code nodes; AI-native with LangChain and agent nodes; complete data residency control; active open-source community; unlimited workflows
  • Cons: Self-hosting requires server maintenance, updates, and monitoring; steeper initial setup than Zapier; fewer pre-built app connectors than Zapier (400+ vs 7,000+); cloud plan executions are capped

Zapier deep dive

Zapier is the category-defining no-code automation platform with the largest app library on the market — over 7,000 integrations at last count. Its multi-step Zaps, Paths (conditional branching), and Tables (built-in database) cover the most common business automation patterns without writing a line of code. The trade-off is twofold: you pay per task, which makes Zapier genuinely expensive once volume climbs, and you cannot self-host or run custom code, which makes it unsuitable for sensitive data or complex transformation logic.

  • Pros: Easiest onboarding in the category; 7,000+ app integrations; non-technical teams productive immediately; strong documentation and community support; Zapier Tables and Interfaces for lightweight apps
  • Cons: Task-based billing becomes expensive above ~5,000 tasks/month; no self-hosting or data residency options; no custom code execution; limited error handling; AI capabilities are shallow compared to n8n

Make (formerly Integromat) deep dive

Make occupies the middle ground between Zapier's simplicity and n8n's power. Its visual scenario builder uses a node-and-wire canvas similar to n8n, and its operation-based pricing model is far more forgiving than Zapier's at moderate volumes. Make excels at complex multi-path routing, iterator and aggregator patterns for bulk processing, and conditional logic. It lacks n8n's code execution and self-hosting, but it offers more visual clarity than Zapier for intricate scenarios.

  • Pros: Operation-based pricing is cheaper than Zapier at scale; excellent visual multi-path branching; iterator and aggregator modules for batch processing; 1,500+ app integrations; strong template library
  • Cons: No self-hosting; no native code execution nodes; AI integrations lag behind n8n; can feel complex to learn despite being visual; slower execution throughput than n8n for high-frequency triggers

Which platform should you choose?

Decision checklist

  • Choose n8n if: you need self-hosting or data residency, you process more than 10,000 tasks per month, you want to add custom JavaScript or Python logic, you need AI-native agent nodes, or you have a technical team comfortable with Docker.
  • Choose Zapier if: you need to ship an integration today with no setup, your team is non-technical and will be maintaining the workflows, you need one of Zapier's 7,000+ niche app connectors that n8n doesn't cover yet, or volume is low and simplicity is the priority.
  • Choose Make if: you need complex visual branching logic, you want cheaper pricing than Zapier without the maintenance overhead of self-hosted n8n, you're running bulk or batch processing patterns, or your team is semi-technical and wants more control than Zapier allows.
  • Start with Zapier, plan to migrate: many teams start on Zapier for speed and migrate to n8n once volume makes the cost unjustifiable or once they need custom logic. Build modular Zaps — they're easier to replicate in n8n later.