Zapier vs Make vs n8n: Choosing an Automation Platform

What is being compared

Zapier, Make and n8n are workflow automation platforms. Each connects the apps you already use, so that when something happens in one (a form is submitted, an invoice is paid, an email arrives) a chain of steps runs in others (create a contact, post a message, update a spreadsheet, ask an AI tool to draft a reply). They solve the same problem with different philosophies, and the right choice depends more on who will maintain the automations than on any feature list.

This page is for owners and team leads who have a repeating manual process and need to choose a platform. It stays with durable characteristics. Prices, plan limits and connector lists change often, so check current terms before committing.

The three in one paragraph each

Zapier (see its learn centre) is built for speed to a first working automation. You pick a trigger, pick an action, and fill in fields. It has one of the largest libraries of app connections, so an obscure tool you rely on is likely to be supported. Its strength is how little you need to know. Its weakness shows when a process branches, loops over lists or needs careful data handling, where the simple model can get awkward and usage-based billing can climb as volume grows.

Make (see its help centre) shows a workflow as a visual canvas of connected modules. It handles branching, repeating over lists and reshaping data more naturally than Zapier's linear layout, and it tends to suit people who like to see the whole flow. The cost is a steeper learning curve. A flow that grows large can also become hard to read without discipline.

n8n (see its documentation) is the most technical of the three and the most flexible. It is also a visual canvas, but it lets you drop in code, call any web service directly through an API or webhook and build AI agent flows with fine control. It can be self-hosted, which keeps data on infrastructure you control, or used as a hosted service. That flexibility comes with responsibility: someone has to keep it running, patched and backed up if you host it.

Main differences

Area	Zapier	Make	n8n
Learning curve	Gentlest	Moderate	Steepest
Layout	Linear steps	Visual canvas with branches	Visual canvas with branches and code
App connections	Very large library	Large library	Fewer ready-made, but any web service can be called directly
Complex logic	Possible, can feel cramped	Comfortable	Most flexible
Self-hosting	No	No	Yes, or hosted by n8n
Data control	Vendor cloud	Vendor cloud	Your own server if you choose
Who maintains it	A capable staff member	A comfortable tinkerer	Someone technical
Billing logic	Typically tied to task or step volume	Typically tied to operations volume	Cloud plans by executions, or self-host cost

Read the billing row with care. Each platform counts usage differently, so the same automation can cost very different amounts on each. Estimate your monthly volume first (our guide to choosing the first process to automate helps), then check how each vendor currently counts it.

How to choose

Ask these questions in order.

1. Who will fix it when it breaks? If the answer is "whoever has a spare half hour", favour Zapier. If you have a technically confident person or an outside partner on call, Make or n8n open up.
2. How complex is the process? A single trigger with two or three actions suits any of them. Branches, approvals, loops over line items and error handling favour Make or n8n.
3. Where must the data sit? If client records, health information or financial data must stay on infrastructure you control, self-hosted n8n is worth a serious look. Get advice on your obligations under the Privacy Act 1988 and any industry rules before deciding.
4. How many runs will you have? High-volume jobs make billing models matter. A small business sending a few hundred notifications a month will barely notice. A business pushing thousands of order lines a day will.
5. Do you want AI inside the flow? All three can call AI tools. n8n gives the most control over agent-style behaviour, while Zapier and Make make it easy to add a drafting or classification step to an ordinary flow.

A hypothetical example

Picture a bookkeeping firm that wants new client enquiries from its website form to create a record in its CRM, send an acknowledgement and open a task for a team member. That is a short chain, and Zapier handles it comfortably. Now picture the same firm wanting each enquiry read by an AI tool, sorted by service type, checked against existing clients, routed to different people and logged for a monthly report. The branching and reshaping point toward Make or n8n.

When each fits

• Zapier (what is Zapier) fits small teams, simple linear jobs and owners who will manage it themselves.
• Make fits process-minded teams with branching jobs who like a visual overview.
• n8n (what is n8n) fits technical teams, data-sensitive work and builds that mix AI, custom code and many services.

Where 21Labs fits

21Labs is an agency in Sydney serving businesses across Australia, and we use whichever platform suits your process and your team. We are not tied to one. In workflow automation we map the process first, then pick the platform, build and test it, and keep a person in charge of any step that needs judgement. If your constraint is who maintains it afterwards, that shapes the choice too, and our operations automation work covers keeping flows running. Discovery is free and we reply within 24 hours. If you would rather weigh up an outside builder before engaging anyone, see AI agency vs freelancer.