n8n vs Zapier vs Make: Automation 2026
TL;DR
- n8n is open source, self-hostable for free, and the only option that doesn't charge per-task at scale. n8n 2.0 ships 70+ native AI nodes and LangChain integration.
- Zapier has the largest integration library (7,000+ apps) and is the fastest to set up — but at $29.99/month for just 750 tasks, it becomes expensive quickly.
- Make (formerly Integromat) sits between them: a powerful visual builder, 3,000+ integrations, cheaper than Zapier at scale, but no self-hosting.
Choose n8n if you have technical capacity, need high-volume automations, or want data to stay on your servers. Choose Zapier if you need specific niche integrations and want zero setup friction. Choose Make for visual workflow complexity at a Zapier-alternative price.
Quick Comparison
| n8n | Zapier | Make | |
|---|---|---|---|
| Open source | ✅ (Sustainable Use License) | ❌ | ❌ |
| Self-hosting | ✅ Free | ❌ | ❌ |
| Integrations | ~1,200 native + custom HTTP | 7,000+ | 3,000+ |
| Pricing model | Per workflow execution | Per task (action) | Per operation |
| Entry price | Free (self-hosted) / €20/mo cloud | $29.99/mo (750 tasks) | $9/mo (10K ops) |
| AI agents | 70+ nodes, LangChain native | Zapier Agents | Make Maia AI |
| Visual builder | Yes | Yes | Yes (best visual UX) |
| Data residency | Your servers (self-hosted) | Zapier's servers | EU/US servers |
| Coding support | JavaScript/Python in nodes | No custom code | No custom code |
| GitHub Stars | 183K+ | N/A (closed) | N/A (closed) |
Pricing at Scale: Where n8n Wins
Zapier's pricing model charges for every action in every workflow. A 5-step workflow that runs 1,000 times per month = 5,000 tasks. At Zapier's Starter plan ($29.99/month), you get 750 tasks — that workflow would cost $79/month.
Make charges per operation (each module run in a scenario). It's cheaper than Zapier — the Core plan at $10.59/month includes 10,000 operations — but costs still compound at scale.
n8n charges per workflow execution regardless of how many steps are in it. Self-hosted n8n costs nothing per execution; you pay only for your server. Cloud n8n starts at €20/month for 2,500 executions.
Monthly cost for 10,000 executions of a 5-step workflow:
| n8n (self-hosted) | n8n (cloud) | Zapier | Make | |
|---|---|---|---|---|
| Executions | 10,000 | 10,000 | 10,000 | 10,000 |
| Billable units | 0 (server only) | 10,000 exec | 50,000 tasks | 50,000 ops |
| Cost | ~$5/mo (VPS) | €50/mo | ~$599/mo | ~$29/mo |
At any meaningful volume, n8n's per-execution model is dramatically cheaper. The catch: you need someone to maintain the self-hosted instance.
n8n: The Open Source Foundation
n8n started as a self-hosted Zapier alternative and has grown into a technical automation platform with over 183,000 GitHub stars. The core is released under a Sustainable Use License — you can self-host it freely, but you can't build a competing commercial product on top of it. For most teams, this distinction doesn't matter.
n8n 2.0 and AI Integration
n8n 2.0 shipped native LangChain integration with 70+ AI nodes, making it possible to build AI agent workflows without leaving the visual editor. You can:
- Connect to any LLM (OpenAI, Anthropic Claude, Gemini, Ollama for local models)
- Build RAG pipelines with vector store nodes (Pinecone, Qdrant, Supabase)
- Create multi-step AI agents that call tools and branch on results
- Use the "AI Agent" node to give Claude or GPT-4 access to your other n8n nodes as tools
This is a significant differentiation from Zapier and Make. Zapier Agents exist but work within Zapier's closed ecosystem. n8n's AI integration is code-level — you can customize every step.
Self-Hosting n8n
The self-hosting path is straightforward with Docker:
version: '3'
services:
n8n:
image: n8nio/n8n
ports:
- "5678:5678"
environment:
- N8N_BASIC_AUTH_ACTIVE=true
- N8N_BASIC_AUTH_USER=admin
- N8N_BASIC_AUTH_PASSWORD=your-password
- N8N_HOST=your-domain.com
- N8N_PROTOCOL=https
volumes:
- ~/.n8n:/home/node/.n8n
For a production setup with persistence and a reverse proxy, see How to Self-Host n8n as a Zapier Alternative.
n8n requires a PostgreSQL or MySQL database for production use (SQLite works for development). A $6/month VPS running n8n with PostgreSQL handles several thousand daily workflow executions comfortably.
n8n Integrations and Custom HTTP
n8n has ~1,200 pre-built integrations — significantly fewer than Zapier's 7,000+. The gap is smaller in practice because n8n's HTTP Request node lets you call any REST API directly, and a Code node lets you write JavaScript or Python for edge cases. For technical teams, these escape hatches cover most gaps.
Where you'll feel the integration gap: niche B2B SaaS tools (specific CRMs, industry-specific platforms) that are in Zapier's catalog but don't have n8n nodes yet.
Zapier: Integration Breadth and Simplicity
Zapier's 7,000+ app integrations remain its clearest competitive advantage. If an app exists and has an API, Zapier likely has a Zap for it. For teams using unusual SaaS tools, Zapier is often the only automation platform that supports them out of the box.
The trade-off is cost. Zapier's task-based pricing model is optimized for low-frequency automations (HR workflows, occasional data syncs, triggered notifications). It becomes expensive for high-frequency automations (real-time data processing, event-driven workflows running thousands of times per day).
Zapier Agents (2026)
Zapier launched Zapier Agents for autonomous task execution across all 7,000+ connected apps. Agents can interpret natural-language instructions, break them into steps, and execute multi-app workflows without predefined Zap structures. This is Zapier's answer to the AI automation trend — but the agents work within Zapier's closed infrastructure and can't run custom code.
Zapier's Limitations
- No self-hosting — all data passes through Zapier's servers
- No custom code — limited to no-code transformations within each step
- Expensive at scale — task-counting model penalizes complex or frequent workflows
- Limited branching — conditional logic is simpler than n8n or Make's visual tools
Make: Visual Power Between Zapier and n8n
Make (formerly Integromat) occupies a distinct position: the most powerful visual workflow builder that's still accessible to non-developers. Its scenario builder uses a node-graph UI that shows data flow between modules visually — a significant UX advantage over n8n's list-based approach for complex workflows with many branches.
What Make Does Well
- Operations-based pricing — 10,000 operations for $10.59/month is genuinely cheaper than Zapier for moderate automation volume
- Visual flow control — routers, iterators, aggregators all have clear visual representations
- Error handling — Make has the most sophisticated error handling of the three, with retry logic, error paths, and fallback flows built into the visual editor
- European data residency — Make is Czech-owned and stores data in the EU by default, which matters for GDPR compliance
- Scenario versioning — Make saves scenario history and lets you roll back to previous versions
Make Maia (AI Assistant)
Make launched Maia, an AI assistant that builds scenarios from natural language descriptions. Describe your automation in plain English and Maia generates the scenario structure. This lowers the barrier to building complex flows but doesn't match n8n's depth of AI integration at the node level.
Make's Limitations
- No self-hosting — data residency is limited to Make's EU/US servers
- No custom code — like Zapier, limited to no-code transformations
- Scenario complexity — very large workflows can become visually cluttered
- Fewer integrations than Zapier — 3,000 vs 7,000+
AI Agent Capabilities Compared
All three platforms shipped meaningful AI agent features in 2026:
| Capability | n8n | Zapier | Make |
|---|---|---|---|
| LLM integration | 70+ nodes, any provider | Via Zapier AI | Via HTTP |
| Agent-style execution | LangChain native | Zapier Agents | Maia AI scenarios |
| Custom model support | ✅ (Ollama, HuggingFace) | ❌ | ❌ |
| RAG/vector stores | ✅ (Pinecone, Qdrant, etc.) | ❌ | ❌ |
| Code execution | ✅ JavaScript/Python | ❌ | ❌ |
| Multi-agent coordination | ✅ (via LangGraph nodes) | Limited | Limited |
n8n's AI capabilities are meaningfully deeper because they're built on open source frameworks. If your goal is to build AI agents that call external APIs, process documents, or route between models, n8n gives you access to the full LangChain/LangGraph ecosystem inside a visual workflow editor.
When to Use Which
Choose n8n if:
- You run high-volume automations (1,000+ executions/day)
- You need data to stay on your own servers (compliance, privacy)
- You want to integrate AI agents with custom LLM configurations
- Your team has technical capacity to maintain a self-hosted instance
- You need custom code logic in workflows
Choose Zapier if:
- You need integrations for niche or legacy SaaS tools
- Speed of setup matters more than cost efficiency
- Non-technical team members build and maintain automations
- Automations run infrequently (low task count per month)
Choose Make if:
- You want visual workflow building more powerful than Zapier
- You're in the EU and need European data residency without self-hosting
- You want Zapier-like simplicity at a lower per-operation cost
- Complex error handling and retry logic matters to you
Real-World Use Cases
High-volume data sync (n8n wins): A SaaS company syncing CRM data to a data warehouse every 15 minutes runs ~2,880 executions per day. On Zapier (5-step workflow), that's 14,400 tasks/day — roughly $600/month at the Professional tier. The same workflow on self-hosted n8n costs less than $10/month in VPS fees.
Non-developer HR automation (Zapier wins): An HR coordinator needs to automatically add new Greenhouse applicants to a Slack channel, send a welcome email via Gmail, and create an Asana task. No technical help available. Zapier has all three integrations and a zero-configuration UI — setup takes 20 minutes. n8n requires either using the cloud version or spinning up a server first.
Multi-branch document processing (Make wins): A legal firm processes incoming contracts: classify by type, route to the right team in Notion, generate a summary via GPT-4, and log metadata to Google Sheets. Make's visual router and iterator modules represent this branching clearly. The visual scenario makes it easy for non-developers to understand and modify the logic over time without breaking it.
AI agent with external APIs (n8n wins): A developer team wants to build an agent that monitors GitHub PRs, checks Linear for linked issues, summarizes the changes via Claude, and posts a review comment. n8n's GitHub, Linear, and Anthropic nodes are all available; the AI Agent node coordinates the multi-step flow. Neither Zapier nor Make has equivalent depth for this kind of multi-model, multi-API agent workflow.
Migrating from Zapier to n8n
If you're moving from Zapier to n8n to reduce costs, the Zapier to n8n migration guide covers the step-by-step process. The main friction points: recreating Zapier-specific features like "Formatter" steps (handled by Code nodes in n8n) and finding equivalent nodes for niche Zapier integrations.
For teams not ready to fully migrate, a common intermediate step is running n8n alongside Zapier — handling high-volume, cost-intensive workflows on n8n while keeping infrequently-run Zaps in Zapier.
For more alternatives to Zapier in the open source ecosystem, see Best Open Source Alternatives to Zapier 2026.