Make vs n8n — Make for Speed, n8n for Scale and Self-Hosting

You’ve already ruled out Zapier on price. Now you’re looking at Make and n8n — the two tools that take automation seriously without charging enterprise rates on day one. The decision is not which tool is more capable. It is whether you want a polished cloud tool you can operate right now, or unlimited execution power you control at the cost of a server and a learning curve.

The Verdict

Make for most freelancers and solopreneurs. n8n self-hosted for technical users running complex workflows or dealing with data-residency requirements.

Here is the decisive logic. Make’s free tier gives you 1,000 credits per month with 2 active scenarios — enough to test, not enough to run a real business on. The Core plan is $9/month on annual billing (or $10.59/month billed monthly) for 10,000 credits. Credits are spent per module action: a 10-step workflow running 1,000 times a month burns 10,000 credits and lands you exactly at the Core ceiling. Add a couple of error-handling modules or router branches and you are on the Pro plan at $16/month before you notice.

n8n Cloud Starter costs $20/month on annual billing ($24/month monthly) for 2,500 executions — where one execution equals one complete workflow run, regardless of how many steps it contains. That same 10-step workflow running 1,000 times costs 1,000 executions on n8n, not 10,000 credits. For complex workflows the billing inversion is real and it matters.

But n8n self-hosted changes the whole calculation. The Community Edition is free, open-source under a fair-code license. Your real cost is a VPS at $5–10/month and the time to deploy and maintain it. If you are comfortable with Docker, that is a one-afternoon setup. If you are not, Make is the right call — no qualification required.

When to Use Make

Make is the right choice when you want automation working today and you are not running the kind of multi-step, high-volume workflows where per-operation billing compounds into a problem.

The on-ramp is genuinely low. Make runs entirely in the browser. There is no server to configure, no Docker image to pull, no SSL certificate to manage. You drag modules onto a canvas, connect them, map your data fields visually, and click “Run once” to test immediately. For a freelancer automating client intake — a Typeform submission triggers a Notion row, a Slack notification, and a FreshBooks draft invoice — that entire scenario is buildable in under an hour with no prior experience.

The integration catalog is the other real advantage. Make ships 3,000+ native app connections, including every major SaaS tool a freelancer or small team is likely to touch. When n8n lacks a dedicated node for a niche tool, you are writing an HTTP Request node by hand. When Make lacks one, that is genuinely rare.

The credit model only becomes a problem when your workflows are long or your run volumes are high. A simple 4-module workflow running 300 times a month uses roughly 1,200 credits — just over the free threshold and well within Core. Keep your scenarios short and your volumes moderate, and the pricing is predictable. The free tier is also permanent, not a trial, which matters if you want to prototype before committing.

Make does not offer self-hosting. All your workflow data moves through Make’s cloud infrastructure. If that is a dealbreaker — GDPR obligations, client contracts with data-residency clauses, or simply a preference not to move sensitive data through a third party — Make is not the tool regardless of how good the interface is.

When to Use n8n

n8n self-hosted is the pick when workflow complexity, data sovereignty, or execution volume makes Make’s per-operation billing model work against you.

The billing structure alone justifies the switch at sufficient complexity. On n8n, one workflow execution is one unit of cost regardless of how many nodes it contains. A 25-step workflow that runs 800 times a month is 800 executions — well inside the Cloud Starter’s 2,500 execution limit, and completely free on self-hosted. On Make, the same workflow would require well over 20,000 credits per month, landing you on the Teams plan at $29/month annually.

Self-hosted Community Edition eliminates the per-execution question entirely. The software is free. You pay for compute — typically a $5–10/month VPS. At modest workflow volumes, that is the full cost. The trade-off is operational overhead: you are responsible for updates, backups, and uptime. For a developer or technically capable solopreneur who already runs a VPS, this is no additional burden. For someone who has never managed a Linux server, it is a real time cost.

n8n also wins on code flexibility. Native JavaScript and Python code nodes let you drop out of the visual builder when the logic requires it — data transformations, conditional branching, API response parsing. Make has no equivalent. Sub-workflows in n8n let you build modular automation architecture that reuses logic across scenarios without duplication.

For AI-heavy workflows specifically, n8n has a meaningful edge. Dedicated nodes for OpenAI, Claude, Gemini, Mistral, Perplexity, ElevenLabs, and Groq ship natively. Multi-step AI agent workflows with tool calling and memory are supported directly. Make has AI features, but they are oriented toward business users in a visual wrapper; n8n lets you control model parameters, build RAG pipelines, and wire up MCP endpoints directly.

One warning on n8n Cloud specifically: when you hit the execution cap, every workflow pauses immediately. No warning email, no grace period. If your automation drives a client-facing process, that hard stop matters. Self-hosted removes the cap; Cloud requires careful monitoring.

What They Share

Both tools use a visual node-based canvas. Both can connect to any API via HTTP request nodes when a native integration does not exist. Both support routers, filters, conditional branching, and error handling without writing code. Both are meaningfully more powerful than Zapier for complex logic, and both price below Zapier for equivalent workflow volumes.

The shared baseline matters because it sets the floor: either tool handles the automation most freelancers and small teams actually need. The decision is about ceiling — how far you need to go — and operating model — cloud managed versus self-managed infrastructure.

What to Skip

Zapier is the tool most people are coming from. It has the largest integration library and the fastest setup, but the pricing punishes volume fast — plans start at $19.99/month for 750 tasks and the Professional tier at $49/month for 2,000 tasks makes Make look cheap by comparison. If you are running Zapier and costs are climbing, Make is the first place to look. The migration path is well-documented and the visual builder will feel familiar.

There are other workflow tools in this space — Activepieces, Relay.app (no longer operational as of September 2026), and various AI-native automation platforms — but none hit the combination of maturity, integration depth, and pricing that Make and n8n represent for independent operators. If you have narrowed to these two, you are already looking in the right place.

The Decision in One Sentence

If you want automation working this afternoon without touching a server, use Make. If you run workflows long enough or complex enough that per-operation billing starts compounding, or if your data cannot leave your own infrastructure, self-host n8n.