n8n vs. Make.com vs. Zapier: The Honest Comparison for Small Businesses

n8n vs. Make.com is the automation decision we weigh most often in inquiries from small and mid-sized businesses in 2026. Both connect the tools you already use – CRM, online store, email, accounting – without programming, but Make is the visual all-rounder with thousands of ready-made integrations, while n8n is the open platform you can run on your own server.

This comparison shows which one fits when – with a table, pricing by volume, and data-privacy notes.

Search "n8n vs Make" and you'll mostly find marketing: every vendor explains why its tool is the best. We're in a different position: we use both, every day, in real client work. Since 2016 we've delivered more than 120 automation projects – Make is our default, and n8n comes in wherever data privacy or volume call for it. That's why we can answer this honestly, without depending on which tool we want to sell: it comes down to four things, and we'll walk through all four.

We won't leave out Zapier, the third big name – it gets a fair hearing below. But in our projects, the real decision in 2026 is usually between n8n and Make.

What is n8n?

n8n is an automation platform from Berlin that lets you build workflows between apps as a diagram: when an order lands in your online store, create an invoice in accounting and notify the team. The individual building blocks are called nodes – you connect them on a canvas.

Three things set n8n apart:

• You can run it yourself. n8n publishes its source code openly under what it calls a "fair-code" license – you can read it, host it, and adapt it for your own business; the main restriction is reselling it as a competing product. The Community Edition runs on your own server. Alternatively, there's a hosted cloud version where n8n handles operations.
• It's technically more open than Make. Where a ready-made integration is missing, you build it with a bit of code. Make can do that through its HTTP module too, but in n8n it's anchored more deeply in the tool. That makes n8n strong with niche industry-specific software – and assumes someone on your team can or wants to do that.
• AI is built into the core. n8n ships with AI agents built in and can run AI models entirely locally on your own server – what that means in practice is covered further down.

For orientation, one sentence each: Make.com is, for us, the most visually accessible platform, with thousands of ready-made integrations and EU hosting, ideal for teams without a technical background. Zapier is the US pioneer with a very large app list, easiest for two or three simple connections – and, at larger volume, the one that gets expensive fastest in this comparison.

n8n vs. Make.com vs. Zapier: The comparison table

Criterion	n8n	Make.com	Zapier
Ready-made integrations	Fewer ready-made ones than Make, but anything missing can be built	Very large library, covers common business software	Very large app list (vendor figure), many niche tools
Self-hosting / data sovereignty	Yes, Community Edition on your own server	No, but EU hosting available	No, US provider
Price at low volume	Cloud from about €24/month; self-hosted only server costs	Free with 1,000 credits/month, then from about $9/month on annual billing	Professional from about $20/month for 750 tasks
Price at high volume	Self-hosted is hard to beat (server instead of per-run)	Fair, scales with credits	Gets expensive fast, every action counts
Learning curve without a tech team	Medium to high (especially self-hosted: updates, backups)	Low	Very low
AI agents	Built in, models can run locally	Built in, inside the visual builder	Available, less deep
How we use it	Data-privacy and volume cases	Default for most SMB projects	Beginners with two or three simple flows

Prices and integration counts are ballpark figures as of September 2026 – always check the official pricing page and the vendor's app directory before deciding.

The decision grid: four questions

When a new automation project starts with us, we don't pick the tool by preference but by four questions. You can ask yourself the same four.

1. Connectors: Are there ready-made integrations for your apps?

An automation is only as good as the apps it can connect. Make ships thousands of ready-made integrations and covers the mainstream software most businesses use – CRM, accounting, email, online store. For industry-specific and specialized tools, it pays to check the list. n8n comes with fewer ready-made nodes and is the most flexible for building your own: because the source is open to extend, any missing integration can be added. Zapier leads on raw app count – relevant if you need a very exotic niche tool.

Rule of thumb: if you use mainstream software, the connector question is solved on all three. If you use specialized software, check specifically – five minutes of research saves a wrong decision. And for AI agents that decide for themselves which system they need and when, there's now a dedicated standard – how it works is explained in What is MCP?.

2. Data privacy and self-hosting: Where is your data allowed to live?

For many businesses in Europe, this is the most important question – and here n8n has an argument the big cloud providers don't offer in this form: you can run the platform entirely yourself, for example on a server in Frankfurt or on your own premises. The automation itself then runs through no third-party infrastructure. An honest caveat: data that a workflow deliberately sends to a connected cloud service – a cloud CRM, an online store, an AI model – still goes there. Self-hosting removes the middleman, not the destination systems. n8n itself is a company from Berlin – but data sovereignty comes from where the server stands, not from the vendor's address, and with self-hosting you decide that.

Make offers EU hosting – a solid solution for most cases with no technical overhead. Zapier is a US provider. Transferring personal data to the US requires, on top of a data processing agreement (DPA), a legal basis of its own – usually the EU-US Data Privacy Framework or standard contractual clauses. It can be done; it's still more effort than EU hosting.

Important: this is not legal advice. Check the DPA and the actual storage location for your specific case – ideally with your data protection officer.

3. Pricing model: What does it cost at your volume?

Two price tags, one scale: what matters isn't the list price but what your volume weighs.

The ballpark in detail:

Make starts free (1,000 credits per month); the Core plan is around $9 per month, Pro around $16, Teams around $29 (annual billing). Since August 2025, Make bills in credits instead of operations – roughly one credit per action a scenario carries out. Factor that into your calculation.

n8n is built differently on price: the self-hosted Community Edition is free; on top of that you only pay for the server – and that cost stays largely flat, no matter how many automations run; if your volume grows a lot, the server needs more power. What the server itself costs depends on your provider and your load, so check current prices before you budget – and honestly add the effort for setup, updates, and backups. The hosted cloud version starts around €24 per month. At very high volume, self-hosted is hard to beat.

Zapier starts at the Professional plan around $20 per month for 750 tasks – and because every executed action counts as a "task", multi-step flows add up quickly.

4. Team skills: Who maintains the tool at your company?

The most honest criterion – and the most frequently overlooked. In our handovers, employees without a technical background work independently in Make after one or two sessions; the visual canvas shows every workflow as a diagram. n8n feels similar but targets a more technical audience – especially if you self-host: setting up the server, applying updates, running backups. If you don't have that in-house, you need someone who takes over operations – which is exactly part of what our automation and AI services cover.

The best automation platform for your business is the one your team can still maintain after the handover. A technically perfect setup that nobody dares to touch after six months is not a good setup.

Which tool is better for AI agents?

All three tools can build AI agents in 2026 – small digital co-workers that decide for themselves which step to take next – with Make and n8n going deepest. In Make, the agents sit inside the same visual canvas as the rest of the scenario, which in our experience makes it easier to follow what the agent did. We show what that looks like in AI agents in Make.com. n8n is the most technical but most powerful choice for AI: because the models can run locally, not even the text of a customer email has to leave your own server. For law firms, medical practices, and HR departments – anything holding personal records – that can be the deciding factor. We run more than 40 AI agents in our own company – that's where we learn what each platform can really carry. What AI agents deliver in a business, whichever tool you build them in, is on our AI agents page.

Our recommendation for small and mid-sized businesses

If you're wondering whether n8n or Make.com is the right choice for your small business, here's our recommendation logic from practice – in descending order of frequency:

• The default case: Make. Affordable, understandable, EU hosting, huge integration library. For most SMBs the best compromise between price, capability, and usability – and the tool your team is most likely to work with on its own.
• The data-privacy case: n8n. Sensitive data, regulated industries, or simply the justified wish that the automation runs on your own server: n8n, self-hosted, in the EU.
• The volume case: n8n. Tens of thousands of runs per month? Self-hosted, you pay for the server instead of every single run – the cost difference is dramatic.
• The beginner case: Zapier. Zero technical experience, two simple "if A, then B" flows, small volume: Zapier is the most comfortable start. Fair is fair.

Why we use both – transparently

We've never committed to one camp, and that's deliberate: the tool follows the problem, not the other way around. Make is our default because it delivers the best mix for the vast majority of businesses – our founder Manuel Gick is a certified Make.com trainer, and we know not only the tool's strengths but also its limits. We use n8n where data privacy or volume call for it. And if neither fits, we say so.

If you want to try Make: through our referral link you get the Pro plan with 10,000 credits free for one month – after that you automatically switch to the free plan.

Transparency: this is an affiliate link. If you use it, we may receive a commission – the price for you stays the same.

Frequently Asked Questions

n8n or Make.com for a small business – which is better?

For most small businesses: Make. It's faster to learn, cheap to start with, and your team can adapt workflows themselves later. n8n pays off when data privacy via self-hosting is mandatory or your volume grows so high that your own server makes financial sense – but then you need someone to handle the technical maintenance.

Is n8n really free?

The software itself is free in the self-hosted Community Edition. You pay the running server costs – and you should honestly factor in the effort for setup, updates, and maintenance. Without technical support, the hosted cloud version or Make is usually the more relaxed choice.

Can I self-host n8n – and what do I need for it?

Yes, that's one of the main reasons to choose n8n. You need a small server at a European provider, someone to set it up (usually with Docker – a standard way of installing server software as one ready-made package), and a fixed routine for updates and backups. For businesses without in-house IT, a partner takes that over. Count the support honestly: only then does it become clear at which volume self-hosting is really cheaper than the cloud subscription.

Are there n8n examples and templates to get started?

Yes, n8n runs a public template library, and we regularly find a usable starting point there – from email sorting to invoice processing with AI. Typical examples for small businesses: pushing online-store orders into accounting, dropping form leads into the CRM and enriching them, reading invoices with AI, compiling weekly reports from several systems. The templates are a good start; they still need to be adapted to your systems.

Can I move from Zapier or Make to n8n later?

Technically yes, and it happens often. But no export carries workflows from one platform to another: every scenario has to be rebuilt, every connection set up again, and everything retested. For two or three simple flows that's an afternoon; for thirty grown-up processes it's a project. That's why it pays to weigh connectors, data privacy, pricing, and team skills before you build, not after.

The next step

In the end, it's not the tool that counts but the result: hours won back every week. The fastest way to find out which tool fits your business is to work it out together – in a free Time Potential Analysis: 45 minutes, €0, no sales pitch. If a project makes sense afterwards, it runs as a fixed-price SCALE² Sprint – and if not, you still know which tool fits you. Read more about how we work on our services page. Book your Time Potential Analysis →