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How We Tested n8n vs Make
We spent 8 weeks building and running identical automation workflows on both platforms across three scenarios:
| Test Category | Workflows Built | Outcome Measured |
|---|---|---|
| Agency client reporting | 5 per platform | Build time, visual clarity, hand-off ease |
| Webhook-triggered pipelines | 6 per platform | Latency, reliability, debugging speed |
| AI agent workflows | 3 per platform | LLM node flexibility, data passing, error handling |
Testing setup: Make tested on Core plan ($9/mo, 10,000 ops). n8n tested on self-hosted Community Edition (Docker, $6/mo VPS) and Cloud Starter. We measured time-to-first-run, failure rate across 200+ executions, and maintenance overhead over the full test period.
Pricing verified February 2026.
n8n vs Make: Which Automation Platform Wins in 2026?
You’re trying to automate your workflows and you’ve narrowed it down to n8n or Make (formerly Integromat). Both are excellent — and both are better than Zapier for most use cases. But they serve different users.
The short version: n8n is for builders who want power, flexibility, and self-hosting. Make is for visual thinkers who want to build fast without touching code.
Here’s the full breakdown.
Quick Comparison
| Feature | n8n | Make |
|---|---|---|
| Pricing model | Per workflow execution | Per operation |
| Free tier | Community (self-hosted, unlimited) | Free plan (1,000 ops/month) |
| Starting paid price | Starter plan (cloud-hosted) | $10.59/mo (10,000 ops) |
| Self-hosting | ✅ Full (Docker, npm) | ❌ Cloud only |
| Visual builder | ✅ Node-based canvas | ✅ Visual scenario builder |
| Code support | ✅ JavaScript/Python in any node | ⚠️ Limited code modules |
| AI features | ✅ AI agents, LangChain nodes | ✅ AI modules (OpenAI, etc.) |
| Integrations | 400+ built-in + custom HTTP | 1,800+ apps |
| Error handling | ✅ Advanced (retry, fallback paths) | ✅ Good (error routes) |
| Best for | Technical teams, developers | Non-technical builders, agencies |
Pricing: How They Actually Charge You
This is where n8n and Make diverge sharply — and where most comparison articles get it wrong.
n8n Pricing
n8n charges by workflow executions, not individual operations. That means a workflow with 15 steps counts as one execution, whether it touches 3 apps or 30.
- Community Edition: Free forever, self-hosted, unlimited everything
- Starter (cloud): Based on monthly executions
- Pro: For production workflows with team features
- Business: For companies under 100 employees
- Enterprise: Custom pricing
The killer advantage: self-hosting is free with no limits. If you have a $5/month VPS, you can run unlimited workflows at zero marginal cost.
Make Pricing
Make charges by operations — each action in your scenario counts. A 10-step workflow that runs 100 times = 1,000 operations.
- Free: 1,000 operations/month
- Core: $10.59/month for 10,000 ops
- Pro: Higher limits + priority execution
- Teams/Enterprise: Collaboration + advanced features
Make’s pricing is predictable but can scale fast. A busy workflow with 20 operations running 50 times/day = 30,000 ops/month — that’s already past the basic plan.
Verdict on Pricing
n8n wins on cost for high-volume automation. Self-hosting makes it essentially free. Make is more accessible for beginners but gets expensive at scale.
Ease of Use
Make: Built for Visual Thinkers
Make’s visual builder is genuinely beautiful. You drag modules onto a canvas, connect them with lines, and configure each step in clean modal windows. Data mapping uses a point-and-click system that non-technical users can learn in an afternoon.
The scenario builder shows data flowing through your automation in real-time when you test, which makes debugging intuitive. You can literally watch your data transform step by step.
Learning curve: ~2-4 hours to build your first useful automation.
n8n: Built for Builders
n8n’s interface is also visual, but it assumes more technical comfort. The node-based canvas looks similar to Make, but the configuration panels expose more options, more fields, and more power.
Where n8n shines is code integration. You can drop a JavaScript or Python node anywhere in your workflow and manipulate data however you want. For developers, this means no artificial limits — if you can code it, you can automate it.
Learning curve: ~4-8 hours for non-developers, ~1-2 hours for developers.
Verdict on Ease of Use
Make wins for non-technical users. The visual builder is more polished and the learning curve is gentler. If you’re a developer, n8n will feel more natural.
Integrations
Make has the edge in raw numbers: 1,800+ app integrations vs n8n’s 400+. But numbers don’t tell the whole story.
n8n compensates with:
- HTTP Request node: Connect to any API with a REST endpoint
- Custom nodes: Build your own integrations in JavaScript
- Community nodes: 600+ community-built integrations
In practice, if an app has an API (and in 2026, almost everything does), n8n can connect to it. Make’s advantage is that those connections come pre-built with friendly configuration screens.
Make wins for plug-and-play. n8n wins if you don’t mind building custom connections.
AI and Automation Intelligence
Both platforms have invested heavily in AI features for 2026.
n8n AI Capabilities
- LangChain integration: Build full AI agent workflows with tools, memory, and chains
- AI Agent node: Create autonomous agents that can use your other n8n nodes as tools
- Vector store support: Connect to Pinecone, Qdrant, Supabase for RAG workflows
- Code-based flexibility: Use any AI API with custom HTTP or code nodes
Make AI Capabilities
- OpenAI modules: GPT-4, DALL-E, Whisper integration
- AI-powered data transformation: Smart field mapping suggestions
- Scenario templates: Pre-built AI automation templates
- Module marketplace: Growing library of AI-specific modules
Verdict on AI
n8n wins decisively for AI workflows. The LangChain integration and AI Agent node let you build sophisticated AI pipelines that Make simply can’t match. If AI automation is your primary use case, n8n is the clear choice.
Self-Hosting and Data Privacy
This is n8n’s trump card. You can run n8n on:
- Your own server (Docker, npm, or binary)
- A $5/month VPS
- Your company’s Kubernetes cluster
- A Raspberry Pi in your closet
Your data never leaves your infrastructure. For companies with strict data sovereignty requirements, this is often the deciding factor.
Make is cloud-only. Your data flows through Make’s servers in the EU/US. They have solid security practices, but you can’t self-host.
n8n wins completely on self-hosting and data control.
Error Handling and Reliability
Both platforms handle errors well, but differently:
n8n offers retry logic, fallback paths, and the ability to write custom error handling in code. You can build sophisticated retry strategies with exponential backoff.
Make has error routes — you can define what happens when a module fails, including retry, ignore, rollback, or break. The visual error handling is intuitive.
Tie. Both handle errors well. n8n gives more granular control; Make makes it more visual.
Real-World Scenarios
Agency automating client reporting: Make wins. Pre-built integrations with Google Sheets, Airtable, Slack, and HubSpot mean you can build a client reporting pipeline in hours, not days. The visual builder is also easier to hand off to a non-technical team member.
Startup processing webhook data at scale: n8n wins. Webhook triggers, self-hosting, and no per-operation cost make it the right choice when you’re processing thousands of events daily. A $10/month VPS handles most startup workloads indefinitely.
Building an AI research assistant: n8n wins decisively. Connect OpenAI for summarisation, a vector store for memory, and custom HTTP nodes for fetching data — the AI Agent node orchestrates it all. This workflow is not currently possible in Make.
E-commerce order automation (Shopify → CRM → Fulfilment): Make wins on speed. The pre-built Shopify, HubSpot, and ShipStation modules connect cleanly. Configuration takes minutes; debugging is visual. n8n can do it but requires more manual field mapping.
Data privacy-sensitive workflow (internal HR tools, medical data): n8n wins — self-hosted, on your own infrastructure, data never touches a third-party server.
Who Should Choose What?
Choose n8n if:
- You’re a developer or have developers on your team
- You want to self-host for cost savings or data privacy
- AI agent workflows are important to you
- You need high-volume automation without per-operation costs
- You want full code flexibility within your automations
Choose Make if:
- You’re non-technical or prefer visual building
- You want the widest selection of pre-built integrations
- You need to build automations quickly without learning code
- You’re an agency building automations for clients
- You want polished documentation and templates
Our Recommendation
For most readers of TheToolChief — solopreneurs and small teams building productivity stacks — we recommend starting with Make for its gentler learning curve, then considering n8n when you hit scaling costs or need more technical power.
If you’re already technical, go straight to n8n. The self-hosted Community Edition is one of the best free tools in the automation space.
→ Try n8n free (self-hosted or cloud) → Try Make free (1,000 ops/month)
Related comparisons:
- Zapier vs Make: Is Zapier worth the premium?
- Best no-code automation tools in 2026
- Zapier vs n8n 2026: Updated AI Automation Comparison
- Make vs Zapier 2026: Is Make Really Worth the Complexity?
Frequently Asked Questions
Can I use n8n and Make together?
Yes — many teams use both. Use Make for quick visual automations with pre-built integrations, and n8n for complex workflows, AI agents, or when you need to self-host.
Is n8n really free?
The Community Edition is free and unlimited if you self-host. The cloud version has paid plans starting based on execution volume. Self-hosting on a $5/month VPS is effectively free with no limits.
Which is better for AI automation in 2026?
n8n is the clear winner for AI. Its LangChain integration, AI Agent node, and vector store support let you build sophisticated AI agent workflows that Make can’t match.
Can Make handle complex enterprise workflows?
Yes, Make can handle enterprise workflows, but it shines with mid-complexity automations. For highly complex or custom workflows, n8n’s code flexibility wins.
What’s the main reason to choose Make over n8n?
Ease of use. Make’s visual builder is more polished, the learning curve is gentler, and the 1,800+ pre-built integrations mean you can connect apps without writing any code.
Related Comparisons
Can I migrate from Make to n8n?
Not automatically — you’ll need to rebuild workflows. The concepts transfer, but the node configurations differ. Consider this before switching platforms.