n8n vs Make: Which Automation Tool Should You Choose?

n8n and Make are the two tools small businesses most often compare once they outgrow simple, one-step automations. Both use a visual canvas, both connect hundreds of apps, and both now run AI agents. The real differences are how they charge, how much control you get, and where your workflows run.

We build client automations mostly on n8n, so we’ll say clearly where Make is the better pick. Every fact below comes from n8n’s and Make’s own pricing pages and help docs, checked in October 2026. If you’re also weighing Zapier, read our n8n vs Zapier comparison too.

n8n vs Make

Make is a hosted, no-code automation platform where you build “scenarios” from app modules and pay in credits, which mostly track operations (one module run on one bundle of data). n8n is a workflow automation platform with a visual node editor that bills its cloud plans per workflow execution and can also be self-hosted.

What is the difference between n8n and Make?

How does pricing work: credits vs executions?

This is the difference that matters most for your monthly bill.

Make counts operations. Its Help Center defines an operation as a single module run that processes or checks data. Each module runs once for every bundle (one email, one contact, one file) it receives. A trigger module counts once per check, however many bundles it returns. Make bills these as credits: for non-AI apps, 1 operation equals 1 credit. AI modules can use more, based on tokens.

n8n counts executions. Its pricing page says an execution is a single run of your entire workflow, and it does not matter how many steps it has or how much data it processes.

Make’s own documentation gives a clear example. A scenario watches a Google Form and gets 10 new responses. For each one it creates a document, downloads it and emails it. That run uses 31 operations: 1 for the trigger plus 10 for each of the three other modules. In n8n, the same run of the same workflow counts as 1 execution.

Which is cheaper for a small business?

It depends on the shape of your workflows, not just how many you have:

• Short workflows, one record per run, low volume: Make is often cheaper or the same, and its free plan may be enough to start.
• Long workflows (many steps): n8n usually wins, because steps don’t add to the count.
• Runs that loop over many records (a list of leads, rows in a sheet, line items): n8n usually wins by a wide margin, because Make multiplies operations by bundles.
• AI steps: both can add AI costs. On Make, AI modules may use credits based on tokens; on n8n, you usually pay your AI provider directly for tokens.
• Self-hosting n8n: removes the subscription but adds server, backup and maintenance costs. Budget for someone to keep it updated.

A quick way to compare: write down each workflow’s steps, how often it runs and how many records each run handles. Then price both tools with your numbers. To see whether the automation pays for itself at all, use our free AI automation ROI calculator.

Which is easier to learn?

For most non-technical owners, Make is easier at the start. You add a trigger app, add modules, map fields by clicking, and watch bubbles show what each module did. The interface is polished and friendly.

n8n has a steeper first week. You’ll see more technical terms (JSON, expressions, items), and more powerful nodes like Code and HTTP Request. That extra control is why developers and agencies tend to prefer it, and once you know it, complex workflows stay readable on one canvas.

How do branching and error handling compare?

Make uses a Router to split a scenario into several routes. Filters decide which route each bundle takes, and you can set a fallback route for data that fits no other route. For failures, Make attaches error handler routes to a module: Skip ignores the error and moves on, Retry stores incomplete runs for automatic or manual retry, Resume substitutes a value and continues, and Commit stops the run but keeps changes already made.

n8n uses IF and Switch nodes to branch, Merge nodes to join data back together, and loops for lists. For failures, you set an error workflow in each workflow’s settings. It starts with an Error Trigger and runs whenever an execution fails, so you can, for example, get an email or Slack alert. One error workflow can watch many workflows.

Both approaches work. Make’s handlers are very visual and per-module; n8n’s error workflow gives you one central place to log and alert on failures across your whole setup.

Which is better for AI agents?

Both now offer AI agents. Make’s AI Agents app runs on all plans using Make’s AI Provider, and paid plans can connect your own provider, such as OpenAI or Anthropic Claude. Make’s docs note that part of its agent features is in beta, so features and pricing may change.

n8n has an AI Agent node that can call tools (your CRM, a database, an API), keep memory and work with different AI models, plus MCP support. A useful safety feature: you can require human approval before an agent uses a specific tool, such as sending an email or deleting a record. The workflow pauses until a person approves or denies it in Slack, Telegram or n8n’s chat.

For custom agents that touch customer data or take real actions, we lean toward n8n for that control. Not sure whether you need an agent or a simpler bot? See AI chatbot vs AI agent.

Can you self-host n8n or Make?

n8n, yes. Its free Community edition runs on your own server with no license key, and you can register it for free to unlock extra features. Paid Business and Enterprise plans add a license key for team features such as SSO and Git version control. Self-hosting is popular in healthcare, legal and finance work, where you want data on servers you control. Remember that self-hosting makes you responsible for updates, backups and security.

Make runs as a hosted service: you build and run scenarios in Make’s cloud. Its Help Center covers plans, credits and Enterprise options rather than a self-hosted download. If running automations on your own infrastructure is a must, that points to n8n.

n8n or Make: which should you choose?

How do you switch from Make to n8n?

1. 1

   Step 1: List your scenarios

   Write down each scenario’s trigger, modules, filters and how many operations it uses a month. Start with the one that costs the most.

2. 2

   Step 2: Rebuild one workflow in n8n

   Recreate the logic with n8n nodes. Use the HTTP Request node for any app that lacks a ready-made node.

3. 3

   Step 3: Add an error workflow

   Set up an Error Trigger workflow that alerts you by email or Slack, so a failure is never silent.

4. 4

   Step 4: Run both side by side

   Keep the Make scenario on and compare results for a week before switching it off.

5. 5

   Step 5: Move the rest one at a time

   Migrate in order of cost or importance, never all at once.

Next steps

If you want ideas for what to build first, see our n8n automation examples for small business and how to choose the first processes to automate. For a full build walkthrough, read how to automate lead follow-up with n8n and AI. And if you’d rather have it designed, built and maintained for you, our n8n automation services include migrations from Make and Zapier.