n8n vs Make vs Zapier: which automation tool should you use?

Pick Zapier if non-technical staff will build and own simple automations between popular SaaS apps. Pick Make if you want visual, multi-branch scenarios with flexible credit-based pricing and someone on the team is comfortable with data mapping. Pick n8n if you have developer help, run high-volume or AI-heavy workflows, or need to self-host for cost or data-control reasons.

All three tools connect apps and move data when something happens. The differences that matter in practice are how each one bills you, who can realistically maintain the workflows, and where your data runs. This guide compares them on those points, using each vendor's own pricing and documentation as of October 2026.

How do n8n, Make and Zapier charge you?

The billing unit is the single biggest difference, and it decides which tool gets expensive first as your volume grows.

• Zapier bills by tasks. Its help center defines a task as any successful action step. Triggers, filters and paths do not count, and failed or halted steps do not count. A five-step Zap (one trigger, four actions) uses four tasks every time it runs.
• Make bills by credits. Credits replaced "operations" as Make's billing term, and for ordinary (non-AI) apps one operation equals one credit. Each module action in a scenario, such as adding a Google Sheets row, is one credit. Built-in AI features can use a variable number of credits based on tokens.
• n8n Cloud bills by workflow executions. One execution is one full run of a workflow, no matter how many steps it contains. n8n's pricing page states it directly: you pay for full executions, not for each step.

That last point is why n8n tends to win on cost for long workflows. A 20-step order-sync workflow that runs 3,000 times a month is 3,000 executions in n8n, but roughly 57,000 tasks in Zapier (19 actions per run) and a similar number of credits in Make. For short two-step automations the gap is small, and the convenience of Zapier often matters more than price.

Plan names and starting prices

	n8n	Make	Zapier
Billing unit	Workflow executions	Credits (1 per module action for non-AI apps)	Tasks (1 per successful action)
Free option	Self-hosted Community Edition	Free plan, 1,000 credits/month	Free plan, two-step Zaps only
Paid plans	Starter, Pro, Business, Enterprise	Core, Pro, Teams, Enterprise	Professional, Team, Enterprise
Entry paid price	Starter from 20 EUR/month (billed annually)	Varies by credit volume; check the pricing page	Professional from $19.99/month
Users	Unlimited on all plans	Teams and roles on Teams plan	1 seat on Professional, 25 on Team
Self-hosting	Yes	No	No

Prices on all three sites move with volume sliders, so treat the entry figures as a floor. n8n's Pro plan starts at 50 EUR/month and Business at 667 EUR/month (both billed annually). Zapier's Team plan starts at $69/month. We have left out Make's per-plan prices because they depend on the credit tier you choose; its pricing page shows the current figure for your volume.

Which tool is easiest for non-technical teams?

Zapier, by a clear margin. Its editor is a straight list of steps, app connections are guided, and most people can build a "new form entry, add CRM contact, send Slack message" Zap in an afternoon. The Free plan is limited to two-step Zaps, so real use starts on Professional, which adds multi-step Zaps, webhooks and premium apps.

Make sits in the middle. Its canvas shows modules as connected bubbles, with routers and filters for branching. That visual layout is easier to reason about than a long Zapier list once a workflow has several branches, but mapping arrays and iterators takes some learning. Operations managers who like spreadsheets usually get comfortable with it within a few weeks.

n8n is the most technical of the three. You can build without code, but it shines when someone writes JavaScript or Python in Code nodes, calls APIs directly with the HTTP Request node, and understands JSON. In most implementations we scope, n8n is the right call only when a developer (in-house or an agency) will maintain it.

When does self-hosting n8n make sense?

n8n is the only one of the three you can run on your own server. n8n's documentation describes two paths: n8n Cloud, which it manages, and self-hosted, where you run it with npm or Docker on infrastructure you control. The self-hosted Community Edition is free and includes most core features. Some features need a paid self-hosted edition (Business or Enterprise), including SSO, Git-based version control, environments, external secrets, log streaming and workflow sharing.

Two caveats buyers miss:

• The licence is not a classic open-source licence. n8n uses its Sustainable Use License, which lets you use and modify the software for your own internal business purposes. It restricts offering n8n to others as a paid product. For running your own company's workflows that is rarely a problem, but agencies reselling hosted n8n should read it carefully.
• "Free" means you pay in operations work instead. Someone has to handle server updates, backups, database growth, SSL certificates, monitoring and security patches. A small VPS is cheap; an outage at 2 a.m. that nobody notices is not.

Self-hosting makes sense when execution volume is high enough that cloud plans get expensive, when data must stay in a specific region or on your own network, or when workflows need to reach internal systems (an on-premise database, an ERP behind a firewall) that a cloud tool cannot reach.

Which is best for AI agents and AI steps?

All three now market AI features heavily, and all three can call OpenAI, Anthropic Claude and other model providers.

• n8n includes an AI Agent node, MCP client and server support, and human approval for tool calls on its plans. Because one execution covers the whole run, an agent loop with many tool calls does not multiply your platform bill (you still pay the model provider for tokens).
• Make offers Make AI Agents, an MCP server, and its Maia assistant for building scenarios through chat. If you connect your own OpenAI or Anthropic account, Make charges credits per operation and you pay the provider for tokens directly. If you use Make's AI Provider, credits are based on tokens as well.
• Zapier offers AI by Zapier steps, AI fields and Zapier MCP. Its help center notes that each successful Zapier MCP tool call counts as two tasks, and AI by Zapier task usage depends on the model tier.

For simple AI steps (classify this email, summarize this form) any of the three is fine. For agents that make many tool calls per run, n8n's execution-based billing and Code nodes give more control. We cover what is safe to hand to an agent in AI agents for small business.

How do the three compare on reliability and maintenance?

The tool matters less than how the workflows are built. That said, there are real differences:

• Error handling: Make has dedicated error-handler routes and exponential backoff. n8n has error workflows and retry settings per node. Zapier has error-handler paths and lets you replay failed Zap runs.
• Version control: n8n's paid plans support Git-based version control and separate environments, which is the closest to how developers ship software. Check Make's and Zapier's current plan pages for their versioning options.
• Logs: all three keep execution history. Retention length depends on plan, so check it before you rely on logs for audits.
• Ownership: whichever tool you choose, the account should be in your company's name with your own app credentials. Workflows built inside a freelancer's personal account are a common reason businesses lose automations.

Which should you choose? A quick decision guide

Your situation	Best fit	Why
Under 10 simple automations, no developer	Zapier	Fastest to build, widest app coverage, easiest handover
Branching workflows, cost-conscious, an ops person who likes detail	Make	Visual routers and filters, clear per-module credit model
High volume or long workflows (15+ steps)	n8n	Execution billing does not grow with step count
Data must stay on your servers or reach internal systems	n8n self-hosted	Only option of the three you can host yourself
AI agents with many tool calls	n8n (or custom code)	Agent nodes, Code nodes, no per-step charges
Integration with an ERP like Odoo or a CRM like GoHighLevel	Depends on volume	All three can call their APIs; n8n handles large syncs more cheaply

It is also fine to use two. A common pattern is Zapier for the marketing team's lightweight app-to-app automations and n8n for the heavy order, inventory or invoicing syncs that touch your ERP. If you are not sure which processes deserve automation yet, start with our guide to what to automate first.

When a workflow outgrows all three (complex business logic, strict performance needs, or many thousands of runs per hour), custom code on a small Node.js service is often cheaper and easier to test than a 60-node visual workflow.

How Dymaxel approaches tool selection

We build on n8n, Make, Zapier and custom code, so we do not have a reason to push one. On a typical project we map the process first, estimate monthly runs and steps per run, then price each option against your real volume before choosing. Every workflow, account and credential stays in your name. You can see how we scope this work on our AI and workflow automation services page.

If you want a straight answer on which tool fits your volume and team, book a free 45-minute consultation through our contact page. Bring a rough list of the workflows you have in mind and we will tell you which tool we would use, and why.