March 24, 2026

n8n vs Make: Which One Works for Solo Builders

If you’ve spent any time trying to automate things as a solo builder, you’ve hit the same fork in the road I did: n8n or Make. Both tools connect apps, run workflows, and promise to save you hours. Both have free tiers. Both have visual editors that look approachable. And both have enough differences under the surface that picking the wrong one can cost you a week of rebuilding.

I’ve been running real workflows on both platforms for months — content pipelines, lead processing, data transformations, webhook-triggered notifications. Not toy demos. Actual stuff that breaks when it stops working. Here’s what I’ve landed on after using them side by side.

What You’re Actually Choosing Between

At a surface level, n8n and Make do the same thing: you build visual workflows that connect APIs, process data, and trigger actions. Drag nodes onto a canvas, draw lines between them, deploy. The difference is in what’s underneath that canvas.

n8n is open source. You can self-host it on a $5/month VPS or use their cloud service starting at $24/month. The workflow editor is node-based — each step is a box on a canvas with connections flowing left to right. It supports JavaScript and Python code nodes, which means if an integration doesn’t exist, you can write it yourself. There are over 400 built-in integrations, and the AI nodes let you wire in Claude, GPT, Ollama, or any OpenAI-compatible endpoint directly into a workflow.

Make (formerly Integromat) is proprietary and cloud-only. The free tier gives you 1,000 operations per month. Paid plans start at $10.59/month for 10,000 operations. The editor is similar — visual, node-based — but it uses a circular layout that some people find easier to parse. Make has over 2,000 app integrations, significantly more than n8n’s built-in library, and the template marketplace lets you grab pre-built workflows and modify them.

The philosophical difference: n8n gives you more control and expects you to use it. Make gives you more guardrails and expects you to stay inside them.

Where n8n Wins

Self-hosting changes the economics entirely. If you’re running workflows that process thousands of executions per month, Make’s operation-based pricing adds up. n8n on a $5 DigitalOcean droplet or a Raspberry Pi sitting on your desk has no per-execution cost. I run about 3,000 workflow executions a month across various automations. On Make’s Team plan, that would cost me around $18/month and I’d be watching my operation count. On my self-hosted n8n instance, it costs whatever the VPS costs regardless of volume.

Code nodes are a genuine superpower. When you hit a wall with no-code tools — and you will — n8n lets you drop in a JavaScript or Python node and do whatever you need. Parse weird API responses. Transform data in ways that would take five Make modules. Handle edge cases with actual logic instead of workarounds. If you have even basic coding ability, this removes the ceiling that visual-only tools create.

AI integration is first-class. n8n’s AI nodes aren’t bolted on. You can build agent chains, RAG pipelines, and multi-step AI workflows directly in the editor. I have a content pipeline that takes a topic, runs it through Claude for a draft, processes the output, and distributes it — all in one n8n workflow. You can do similar things in Make with HTTP modules and API calls, but n8n makes it native.

Self-hosting means your data stays put. Every API key, every piece of data flowing through your workflows — it all lives on your server. For solo builders handling client work or sensitive data, that matters. Make processes everything through their cloud infrastructure, which is fine for most use cases but gives you less control.

Where Make Wins

The integration library is genuinely bigger. 2,000+ apps versus 400+ matters when you need to connect something niche. If your workflow involves Airtable, Notion, a CRM, an email marketing tool, and a payment processor, Make probably has native modules for all of them. n8n might require an HTTP request node for one or two, which works but takes more setup.

The learning curve is shorter. Make’s interface is more polished and the error messages are clearer. When a workflow fails in Make, you usually know why within a few seconds. n8n’s error handling has improved a lot, but there are still moments where debugging means reading stack traces. If you’re not comfortable reading error logs, Make will frustrate you less.

Templates save real time. Make’s template marketplace has thousands of pre-built workflows. “When someone fills out my Typeform, add them to my CRM and send a Slack notification” — that’s a template you can deploy in two minutes. n8n has community templates too, but the selection is smaller and the quality is more variable.

Managed infrastructure means less maintenance. Self-hosting n8n means you’re responsible for updates, backups, SSL certificates, and keeping the server running. Make handles all of that. If you’re a solo builder already juggling product development, marketing, and customer work, adding server administration to the list might not be worth the cost savings.

The Stuff That Only Shows Up After a Few Months

n8n’s community is technical, Make’s is operational. The n8n forums and Discord are full of people building complex AI workflows, self-hosting tips, and custom node development. Make’s community leans more toward business automation — marketing workflows, CRM integrations, operations tooling. Where you’ll find more useful help depends on what you’re building.

Make’s pricing gets weird at scale. Operations are the unit, but what counts as an “operation” isn’t always intuitive. A single workflow run might consume 5, 15, or 50 operations depending on how many modules fire and how much data passes through. I had a simple-looking workflow that burned through 800 operations in a day because it was processing list items individually. You end up designing workflows to minimize operations, which sometimes means making them less readable.

n8n’s webhook handling is better for real-time work. If you’re building things that respond to external events — incoming data from an API, form submissions, payment notifications — n8n handles webhooks more cleanly. The test mode for webhooks is easier to use, and the response handling gives you more flexibility. Make can do it, but the setup takes more steps and the testing experience is clunkier.

Version control matters more than you think. n8n workflows are JSON files. You can export them, commit them to Git, diff changes, and restore previous versions. This isn’t glamorous, but three months in when you accidentally break a workflow that was running fine, being able to git diff and see what changed is worth everything. Make has workflow history but it’s in their UI — you can’t integrate it with your existing version control.

If you’re building AI automations as a service, the ability to version-control and replicate workflows across clients becomes a genuine competitive advantage. I keep every client automation in a Git repo with n8n’s export format.

Who Should Use Which

If you can self-host and you’re comfortable with basic code — even just enough to read a JSON response — n8n is the better choice for solo builders. The economics are better at any scale, the AI integration is stronger, and the control you get over your infrastructure and data compounds over time. The first weekend of setup is the tax you pay, and then it just works.

If you don’t want to manage servers, you’re building business-process automations (not AI-heavy workflows), and your execution volume stays under 10,000 operations a month, Make is genuinely good. The polish, the template library, and the lower learning curve are real advantages. You’ll pay more per execution, but you’ll save time on setup and maintenance.

The mistake I see most often: people pick Make because it’s easier to start with, build 20 workflows on it, and then realize they’re paying $50/month for something that could run on a $5 VPS. The switching cost isn’t devastating, but it’s a few weekends you won’t get back. If you suspect you’ll outgrow Make’s pricing, start with n8n.

For what it’s worth — my main automation stack runs on self-hosted n8n. I still use Make for quick one-off integrations where I need a native connector that n8n doesn’t have, but n8n handles about 90% of the work.

Keep Going

If you’re setting up your automation stack, the guide on how to automate tasks with AI walks through the specific workflows worth building first and the tools that connect to both n8n and Make. And if you’re thinking about turning automation skills into a service, the AI automation agency guide covers how to package and price the work.