You searched "n8n vs Make.com" because you need to automate something. A CRM update, a lead notification, a content workflow, and now you are staring at two tools that look almost identical from the outside. Which one do you pick?
Here is the direct answer: Start with Make.com if your team has no technical resources and needs to move fast. Switch to n8n when GDPR data residency or workflow complexity makes Make.com the wrong fit. Use code-first tools when you have outgrown both.
I work as an AI automation consultant in the Netherlands. I have built and worked with both platforms across different business contexts. The answer is not "it depends" with no further explanation. There is a clear decision framework based on team type, data requirements, and workflow complexity. This post gives you that framework directly.
n8n and Make.com are visual workflow automation platforms that connect apps and automate repetitive tasks without writing code. Make.com is cloud-first with 1,000+ connectors and a credit-based pricing model. n8n is open-source, self-hostable, and uses an execution-based model where a 10-step workflow counts as a single run, not 10 separate operations.
What Is Workflow Automation and Why Does the Tool Choice Matter?
Both platforms let you build visual workflows: trigger, action, action, done. Connect Notion to Gmail, sync HubSpot to Slack, or build a multi-step lead enrichment pipeline without writing a line of code.
The difference is philosophy, and philosophy has real-world consequences.
Make.com is a polished SaaS product. Sign up, connect your apps, start building in minutes. Non-technical team members can manage workflows without help. The documentation is solid and the UI is clean.
n8n is open-source and built for teams that want control. Self-hosting means your data never leaves your own server. The integration library is smaller than Make.com's, but every node is customizable, and you can write JavaScript directly in any workflow step.
Both are production-ready. Both have paid cloud versions. The choice comes down to three factors: your team's technical capacity, data residency requirements, and how complex your workflows actually are.
n8n vs Make.com 2026: The Decision Framework
After working with both tools across different business contexts, I use a three-level framework to decide which one belongs in which context.
Level 1: Make.com, Best for Speed and Non-Technical Teams
Make.com wins when you need fast deployment and low technical overhead.
The Core plan ($10.59/month as of early 2026) covers 10,000 credits, enough for most small business automation needs. The interface is genuinely better than n8n's for non-technical users. With 1,000+ pre-built connectors, you will rarely need to build a custom integration.
One pricing note: Make.com switched from operations to credits in August 2025, at a 1:1 conversion ratio. Each step in a workflow still consumes one credit. A 10-step workflow costs 10 credits. That adds up faster than most businesses expect at high volume. Verify current pricing at make.com/pricing before committing to a plan.
Use Make.com when:
- Your team has no developer resources and needs to move quickly
- You are automating straightforward linear workflows (trigger, 3-5 actions, done)
- You are not handling sensitive EU personal data at scale
- Adoption by non-technical staff is a priority
Level 2: n8n, Best for GDPR-First or Technical Teams
n8n is the right call when data residency matters or when workflow complexity makes Make.com's pricing untenable.
What GDPR-first means in practice: if you are a Dutch healthcare company routing patient appointment data through automation, or a Belgian law firm processing client documents, that data must stay within EU borders. Self-hosted n8n on a Hetzner server in Germany solves this completely. Your data never touches a US server.
Make.com does offer EU data residency, but it requires manual configuration and is not the default. That is a meaningful compliance risk for teams that do not know to configure it.
On pricing, n8n's execution model creates a significant cost advantage for complex workflows. A 15-step n8n workflow counts as 1 execution. The Pro plan ($60/month as of early 2026) covers 10,000 executions, equivalent to 150,000 workflow steps for $60. On Make.com at standard credit pricing, that same volume costs considerably more. Verify current n8n pricing at n8n.io/pricing before committing.
Self-hosted n8n on a €5/month Hetzner VPS is free to run. You handle updates and server security, but for teams with technical capacity, this is the most cost-effective option at any volume.
| Make.com Core | n8n Cloud Pro | n8n Self-Hosted | |
|---|---|---|---|
| Monthly cost | $10.59 | $60 | ~€5-20 server only |
| Operations/executions | 10,000 credits | 10,000 executions | Unlimited |
| Billing model | Per step | Per workflow run | None |
| GDPR (EU by default) | No, configure manually | Yes | Yes |
| Technical setup required | None | Low | Medium |
| Custom code in nodes | No | Yes | Yes |
Use n8n when:
- You are in a regulated EU industry (healthcare, finance, legal, public sector)
- You handle personal data that must remain within EU borders by default
- You have a developer or technical team member who can manage infrastructure
- You run complex multi-step workflows where execution-based pricing saves meaningful cost
For Dutch SMEs specifically, I recommend n8n for any business handling employee or customer personal data under GDPR. The compliance risk of misconfigured cloud data residency is real. Make.com workflows that process personal data through US-based integrations without explicit EU data residency configuration create direct GDPR exposure, and most teams do not catch it until an audit flags it. That is an avoidable problem.
Level 3: Beyond Both, Workflows and Tools on Trigger.dev
Here is where the conversation shifts. Both n8n and Make.com share the same fundamental limitation: you are constrained to what their node libraries can do.
For businesses with custom logic, complex data transformations, or reliability requirements that visual tools cannot guarantee, there is a code-first path: build your automation infrastructure directly in code and deploy it to Trigger.dev. This is the foundation of the WAT framework, an execution model built around three components: Workflows, Agents, and Tools. The two that matter most for deterministic business automation are the W and the T.
The approach separates two concerns.
Workflows are plain-text documents, markdown SOPs that define exactly what needs to happen, in what order, with what inputs and outputs. No vendor lock-in. No GUI limitations. Pure structured logic you can read, edit, and version-control in Git. If your automation logic lives in a markdown file, it is auditable, transferable, and independent of any platform.
Tools are deterministic Python or TypeScript scripts that execute specific actions: scrape a website, call an API, write a record to Notion, run a web search. Each tool does exactly one thing and returns a predictable output, success or error. No probability, no "it usually works," no hidden retry logic buried in a GUI you cannot inspect.
You develop these workflows and tools in Claude Code, where AI assists with writing, testing, and refining each component faster than building manually. Critically, you are not building a visual flow you cannot audit, you are writing code you own completely. Then you deploy to Trigger.dev, which provides:
- Automatic retries on failure (configurable per task)
- Full run history and dashboard visibility
- SOC 2 Type II certified infrastructure
- Scheduling, queuing, and concurrency control
- EU data region support
- No server to manage
A 10-step automation on Trigger.dev has the same enterprise-grade reliability as the equivalent on AWS Lambda, without the infrastructure overhead. Trigger.dev's Hobby tier starts at $0 for development use, paid tiers scale with usage volume.
This is not the right starting point for most businesses. It requires a developer or a consultant who can build the initial system. But for companies that have genuinely outgrown n8n and Make.com, or that are building automation as a core part of their product, it is the right answer.
Want to understand which automation level fits your business? Book a free AI audit, I will map your workflows to the right tools in 30 minutes.
The Pattern That Repeats in European SME Deployments
Make.com wins on speed. You can have a first workflow running on the same day you sign up. For teams without technical resources, that matters. n8n's self-hosted setup takes longer, a VPS, Docker, configuration, but the payoff is full data control and no per-step billing ceiling.
The common failure mode with Make.com is that teams discover GDPR exposure late. EU data residency is not enabled by default. A business that builds 15-20 workflows without configuring this may be routing personal data through US infrastructure without realizing it. The fix is straightforward once flagged, but the audit risk is real.
The common failure mode with n8n is over-engineering early. Self-hosting is the right call for teams with technical capacity. For teams that lack it, the ongoing maintenance burden creates friction that makes people avoid the tool. If your team cannot manage a Linux server, start with Make.com Cloud, do not force a technical solution onto a non-technical team.
Start with Make.com for speed. Migrate compliance-sensitive workflows to n8n when the need arises. Build anything requiring custom logic with code-first tools.
That is not a bug in either product's design. It is the reality of building automation infrastructure at different stages of a company's growth.
How to Choose in 5 Minutes: A Practical Checklist
Answer these four questions in order:
-
Does your team have a technical person who can manage infrastructure?
- No → Make.com. Stop here.
- Yes → Continue to question 2.
-
Do you handle EU personal data subject to GDPR (customer records, employee data, health or financial information)?
- No → Make.com is fine if data volume is manageable.
- Yes → n8n self-hosted or n8n Cloud with EU region configured.
-
Are your workflows complex? (10+ steps, conditional branching, custom data transformations)
- No → Make.com handles this without issue.
- Yes → n8n for better pricing at scale. Consider code-first if custom logic is required.
-
Do you need custom logic that no node library supports?
- No → n8n covers the vast majority of use cases.
- Yes → Code-first automation with Claude Code and Trigger.dev.
Most small Dutch businesses land at Make.com. Most medium-sized EU businesses with legal, HR, or finance processes land at n8n. Businesses building automation as infrastructure, or delivering it as a client service, land at code-first.
Run this checklist against your top three most painful manual processes before committing to either tool. The tool choice becomes obvious once you have mapped the actual workflow.
Frequently Asked Questions
Is n8n better than Make for small businesses?
"Better" depends on what you are optimizing for. Make.com is faster to get running, most teams have their first workflow live within a day. n8n has a steeper learning curve but no per-operation cost ceiling. For a small business running 5-10 simple workflows, Make.com Core at $10.59/month is the right call. The moment you are running 20+ workflows, handling personal data, or paying more than $50/month on Make.com credits, it is worth modeling what n8n self-hosted would actually cost.
What is the real cost difference between n8n and Make.com?
Make.com Core: $10.59/month for 10,000 credits (pricing as of early 2026, check make.com/pricing for current rates). n8n Cloud Pro: $60/month for 10,000 executions (check n8n.io/pricing). Those numbers sound similar until you account for billing structure. A 10-step workflow on Make.com costs 10 credits. The same workflow on n8n costs 1 execution. At 10,000 workflow runs per month with 10-step complexity, Make.com costs 10x more in credit consumption. Self-hosted n8n on a Hetzner VPS runs €5-20/month for the server, the n8n software itself is free.
Should I use n8n or Make.com for my business?
Start with this question: does your team have anyone who can manage a Linux server? If no, start with Make.com, the technical overhead of self-hosting n8n will slow you down more than the cost savings justify. If yes, check your GDPR exposure. Any EU business processing employee records, customer data, or health or financial information should default to self-hosted n8n. The configuration requirement to enable EU data residency in Make.com creates an audit risk most teams do not catch until it matters.
Is n8n GDPR compliant?
Self-hosted n8n is GDPR compliant by architecture, your data never touches a server you do not control. n8n Cloud runs in the EU and is also GDPR compliant. Make.com is GDPR compliant as a company, but EU data residency is not the default setting. You must actively select an EU data region in your workspace settings. Teams that skip this step are processing EU personal data through US-based infrastructure, which creates a liability under GDPR Article 44 on international data transfers.
Can I migrate from Make.com to n8n?
Yes, but plan for it properly. There is no migration tool, the platforms use fundamentally different data structures. A typical workflow migration takes 2-4 hours depending on complexity. I recommend against trying to replicate your existing Make.com flows exactly. Rebuild them from the intended outcome: what should this workflow accomplish, and what is the simplest n8n path to get there? Most teams end up with cleaner, faster workflows after migration because they eliminate the workarounds that accumulated in the original build.
The Bottom Line
For European businesses handling personal data, self-hosted n8n is the safer long-term default. For businesses that need speed and have no technical overhead, Make.com is the right first tool. Most mature EU businesses end up using both, Make.com for quick internal workflows, n8n for compliance-sensitive or high-volume ones. And a growing number are moving key automation infrastructure to code-first tools on Trigger.dev, where they own the logic completely.
Neither tool is universally better. The right answer is whichever one your team will actually maintain six months from now.
The businesses that get this decision right early spend their time scaling the automations that work. The ones that pick the wrong tool spend that time rebuilding. It is usually the same 6-12 months of growth, but one path compounds and the other resets.
Make.com and n8n are both mature, production-ready platforms. The question is not which one is better. The question is which one fits the team you actually have.
Not Sure Which Automation Tool Fits Your Business?
Picking the wrong tool costs 6-12 months of rebuilding. A free 30-minute workflow audit maps your top processes to the right platform, n8n, Make.com, or something else entirely. You will leave with a concrete recommendation, not a sales pitch.
Most teams are surprised by how much their GDPR exposure shapes the tool decision, and how straightforward it is to fix once you know what to look for.
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About Dominik Gabor
AI Automation Consultant based in the Netherlands, working with businesses worldwide. Dominik helps small and mid-size businesses implement AI Operating Systems, from lead response automation to strategic daily briefings. He tests 27+ AI tools daily and has built automation systems for businesses across Europe and the US.