n8n vs Make.com: which automation tool should you actually use?

Mon Jun 08 2026 00:00:00 GM

Here's the short answer: if you're technical, use n8n. If you're not, start with Make.com.

Everything below is the justification. If you already know which camp you're in, skip to "Who should pick which" and go from there.

What you're actually choosing between

n8n and Make.com are both visual workflow automation tools. You connect triggers to actions without writing code, and workflows run on a schedule or in response to events. Same category as Zapier, but meaningfully different from each other.

The philosophical difference: n8n is built for technical users who want control. Make is built for business users who want speed.

That single distinction explains nearly every other difference between them.

Pricing — the model matters more than the number

This is where most comparisons get it wrong. The plans look similar on the surface. The billing units are not.

n8n charges per execution — one full workflow run = one execution, regardless of how many steps or nodes are involved. A 15-node workflow that runs 1,000 times costs the same as a 2-node workflow that runs 1,000 times.

Cloud plans (billed monthly):

Starter: ~$28/month — 2,500 executions
Pro: ~$69/month — 10,000 executions
Self-hosted: free — unlimited executions (you pay for the server, not n8n)

Make.com charges per operation — each module step in each run consumes credits. A 10-step scenario running 1,000 times costs 10,000 operations. A 3-step scenario running 1,000 times costs 3,000 operations.

Cloud plans (billed monthly):

Free: 1,000 credits/month, 2 active scenarios
Core: $9/month — 10,000 credits, unlimited scenarios
Pro: $16/month — AI agents included
Teams: $29/month — team features

The practical implication: As your workflows get more complex — more nodes, more steps, more API calls — n8n's per-execution model gets dramatically cheaper. Make's per-operation model scales linearly with complexity. For simple 3–5 step workflows that run occasionally, Make's Core plan at $9/month is hard to beat. For complex multi-step workflows running daily, n8n's math wins fast.

The catch — and there's always a catch — is that n8n's self-hosted option changes the economics entirely. If you can run it on a ~$5/month VPS or an Oracle Cloud free tier instance, your marginal cost per automation drops to zero. That's not a theoretical option. It's the right choice for anyone building at scale.

Integrations — quantity vs. practicality

Make claims 2,000+ integrations. n8n claims 400+ native nodes.

In practice, this gap matters less than it sounds. n8n covers every major platform — Gmail, Slack, Airtable, Notion, Shopify, Google Sheets, OpenAI, Anthropic, Stripe — and anything not natively supported connects via HTTP Request node or community nodes. If it has an API, n8n can talk to it.

What the integrations gap actually represents: Make has more pre-built, no-configuration-required connectors for niche business tools. If you need to connect a specific CRM you've been using for years and it's not in n8n's native library, Make is more likely to have it ready out of the box.

For the 80% use case — AI workflows, content pipelines, CRM integration, data processing — both platforms cover the ground equally.

Ease of use — and why it's the real differentiator

Make's visual builder is genuinely more polished. Scenarios are laid out in a clean circular flow, modules snap together intuitively, and the error handling UI is clearer. Someone with no automation experience can build a working scenario in 20 minutes.

n8n's interface is functional, not beautiful. Nodes connect left-to-right in a canvas that rewards spatial thinking. The settings panels require more reading. Sub-workflows and expressions follow a logic that takes time to internalize. Someone with no automation experience will build the same workflow in 45 minutes — and spend some of that time reading documentation.

This is not a knock on n8n. The complexity reflects the power. Once you understand expressions and the data structure, n8n can do things Make simply can't without workarounds.

In practice, not in theory: I've watched non-technical users build Make workflows independently. The same users needed hand-holding with n8n. If your automation workflows will be maintained by someone who isn't comfortable reading JSON, Make is the correct choice.

AI capabilities — n8n has pulled ahead

Both platforms support AI integrations. The gap is widening in n8n's favor.

n8n has invested heavily in native AI agent capabilities — multi-step AI agents, tool calling, memory, sub-agent orchestration. You can build genuinely complex AI pipelines: an agent that reads from multiple data sources, reasons across them, and takes conditional actions. The Anthropic, OpenAI, and Ollama integrations are first-class.

Make added AI agents to its Pro plan. They work well for straightforward use cases: summarize this, classify that, extract these fields. For non-engineers who want to add AI to an existing workflow, Make's approach is faster to ship.

For building autonomous AI systems — the kind of thing where an agent makes decisions, calls tools, and handles branching logic — n8n is the better substrate. It's also the platform this site's own infrastructure is built on.

Deployment — the self-hosting question

This section only matters if you care about data sovereignty or cost at scale.

Make is cloud-only. Your data passes through Make's servers. No self-hosting option exists.

n8n offers both. The self-hosted Community Edition is free, fully functional, and runs on any Linux server. Your data never touches n8n's infrastructure. Compliance teams, healthcare contexts, and anyone uncomfortable with workflow data living in a third-party cloud should start here.

If you're indifferent to data sovereignty and just want to automate things without managing a server, Make's cloud is fine and n8n Cloud works just as well.

Head-to-head summary

| | n8n | Make.com | |---|---|---| | Pricing model | Per execution | Per operation | | Complex workflows | Cheaper at scale | Gets expensive fast | | Self-hosting | ✅ Free | ❌ Not available | | Ease of use | Steeper curve | More approachable | | Native integrations | 400+ (1,000+ total) | 2,000+ | | AI agents | Advanced, native | Available (Pro+) | | Best for | Technical users, scale, control | Business users, speed, simplicity |

Who should pick which

Use n8n if:

You're comfortable with APIs and basic technical concepts
You want to self-host (free infra, full data control)
You're building complex AI workflows or multi-agent systems
You're running high-volume automations where per-execution billing saves money
Long-term: you want to scale without watching a per-operation counter

Use Make if:

You're new to automation and want something that clicks in an afternoon
Your team includes non-technical people who will maintain workflows
You need a specific integration that n8n doesn't have natively
You're running simple, low-step workflows that don't hit pricing limits
Speed of setup matters more than cost or control

The honest edge case: If you start with Make and outgrow it, migrating to n8n takes real effort — workflows don't transfer between platforms. Think about where you're heading before you build.

My verdict

I use n8n. The self-hosting option changes the economics of automation at any meaningful scale, and the AI agent capabilities are genuinely ahead. The learning curve is real but finite — a weekend of building gets you comfortable, and the patterns compound.

That said: Make is not the wrong answer for a significant portion of people reading this. If "I'll figure out the server stuff later" sounds like you, and you want to ship automations this week, start with Make. You'll outgrow it or you won't, and either outcome is fine.

What's actually wrong: staying on Zapier when either of these tools gives you more power for less money. That's the comparison nobody writes because nobody gets paid to say it.

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