n8n vs Make vs Zapier: Which Should Run Your Automations?

Zapier, Make and n8n all do the same basic job. Something happens in one app, and the platform runs a set of steps in other apps. A form submission becomes a CRM contact, a Slack alert and a follow-up email.

The n8n vs Make vs Zapier choice comes down to four things: how each one charges, where it runs, how complex your workflows will get and who on your team will look after them. We build on all three, so here’s the honest comparison we give clients.

The short version

Zapier is the easiest to start with and has the largest app directory. Make gives you a visual canvas and more control over branching and data handling. n8n is the most flexible, can be self-hosted on your own server and suits technical teams or workflows with heavy volume and custom code.

Zapier: fastest from idea to working workflow

Zapier’s strength is reach and simplicity. It connects to thousands of apps, and most popular SaaS tools have a ready-made Zapier connector. The editor walks you through each step as a list, so an office manager can build “new Typeform entry, create HubSpot contact, post in Slack” without help.

The trade-off is cost at volume. Because billing counts tasks, a workflow that runs thousands of times a month with several steps each can climb into higher tiers quickly. Complex branching is possible with Paths and Filters, but long, nested Zaps get hard to read.

• Pick Zapier when the workflow is short, volume is modest and non-technical staff will own it.
• Watch out for multi-step workflows that fire on every order or every email, since each step adds to your task count.

We build and tidy up client Zaps through our Zapier automation service, often by merging a pile of overlapping Zaps into a few that are easier to monitor.

Make: visual control for multi-step logic

Make (formerly Integromat) shows your workflow as a map of connected modules. You can see where data splits, loops over line items and joins back together. That makes it a good fit for jobs like “for each line on this Shopify order, check stock in Airtable, then update the supplier sheet.”

Make also gives you more built-in tools for reshaping data: text functions, arrays, iterators and aggregators. Many workflows that would need several paid steps in Zapier fit into a single Make scenario. The canvas takes a few sessions to learn, mostly around mapping fields between modules.

• Pick Make when your workflows branch, loop or reshape data, and someone on the team enjoys visual logic.
• Watch out for scenarios that poll an app every minute, since each check can count toward your operations.

n8n: flexibility and control over your data

n8n is a workflow tool you can run on n8n’s own cloud or on your own server. Self-hosting matters for two reasons. You control where data lives, which helps when you handle client records, health information or financial documents. And you aren’t billed per step, so high-volume workflows cost you server time instead of task fees.

n8n also has strong AI building blocks. You can chain an AI agent node with Claude or OpenAI models, give it tools such as a database lookup or a web request, and add memory between runs. When a built-in node doesn’t exist, a Code node or HTTP Request node lets a developer call any API directly.

The cost is responsibility. A self-hosted instance needs updates, backups, monitoring and someone who can read an error log. Most of our n8n automation clients have us host and maintain it for exactly that reason.

• Pick n8n when volume is high, data must stay on your infrastructure, or you need AI agents and custom code.
• Watch out for self-hosting without a plan for updates, backups and error alerts.

Three workflows, three platform choices

Abstract comparisons only go so far. Here are three real-world patterns and the platform we’d usually pick for each.

A dental clinic’s appointment reminders

New booking in the scheduling tool, send a confirmation, send a reminder 24 hours before. It’s linear, low volume and the front desk should be able to change the wording. Zapier is the obvious pick.

An online store’s order routing

Each Shopify order is split by line item, checked against stock in two warehouses, sent to the right fulfillment partner and logged in a sheet. There’s looping and branching, and the store owner wants to see the logic on screen. Make handles this well.

An accounting firm’s document intake

Clients email bank statements and receipts. An AI step reads each file, extracts fields, matches the client record and files the document. Volume spikes heavily at tax time, and the data is sensitive. A self-hosted n8n instance keeps costs flat and documents on infrastructure the firm controls.

Questions to answer before you choose

1. How many times a month will this workflow run, and how many steps does each run have?
2. Does any of the data have rules about where it can be stored or processed?
3. Who will fix it when it breaks: an office manager, an operations lead or a developer?
4. Does the workflow need AI steps, loops over many records or calls to an API with no ready-made connector?
5. Will you need version history, staging environments or code review for changes?

If your answers point to low volume and non-technical owners, start with Zapier. Branching logic and a visual thinker on the team point to Make. Heavy volume, sensitive data or developer ownership point to n8n. Moving later is possible but means rebuilding, so it pays to get the first choice close to right. Our AI workflow automation team can map your workflows and recommend a platform before any build starts.

Estimate the running cost and the payback

Once you know the platform, list the workflows you plan to build with their monthly run counts and step counts. That gives you a usage estimate to compare against each vendor’s current plans, which change often enough that you should check them on the day you decide.

Then weigh that against the time the workflows save. The automation ROI calculator does the time side of the math for you, and it’s a good way to rank which workflow to build first.

Frequently asked questions