n8n vs Zapier vs Make: which automation tool fits which job

Short answer: Zapier is the easiest and the most expensive per task, best for non-technical people who want common apps connected fast. Make sits in the middle, with a visual builder that handles branching and data shaping well. n8n is the most flexible and the only one of the three you can run on your own server, best for developers and anyone who needs control over data or cost at volume.

Plans and prices change often. This post compares how each tool is built and billed, which is stable. Check the vendors' pricing pages for current numbers.

How do they differ at a glance?

• Zapier: hosted only. Linear "Zaps" with a trigger and steps, plus paths for branching. Largest catalogue of app integrations. Billed by tasks, meaning each successful action step counts.
• Make: hosted only. A canvas where you wire modules and see data flow between them. Strong at iterating over lists, routing and transforming data. Billed by operations.
• n8n: hosted by n8n or self-hosted. A node canvas with a code node, expression language and HTTP node for anything without a built-in integration. Cloud plans bill by workflow executions. Self-hosting the community edition costs your server.

How does pricing behave as you grow?

This is where the three diverge most. A task-based model punishes workflows with many steps and loops. If one run processes 200 rows and each row has four actions, a per-step meter counts roughly 800 units for that single run. Execution-based billing counts the run once. Self-hosting has no per-run meter at all, only a server and your time.

So the useful question is not which is cheapest, it is how many steps and how many runs you expect. Estimate it from your busiest workflow before you commit.

What about self-hosting and data control?

Only n8n lets you keep data on your own infrastructure. That matters if you handle customer personal data and do not want it passing through a third party, or if you need workflows inside a private network that cannot reach the public internet. Note that n8n uses a source-available licence, the Sustainable Use Licence, not an OSI open-source licence. It allows internal business use and restricts reselling it as a service. Read it if you plan to embed n8n in a product.

Self-hosting also means you handle updates, backups and uptime. See how to self-host n8n.

Which is easiest to learn?

Zapier, clearly. A person with no technical background can build a working Zap in minutes. Make takes an afternoon to understand its data model, and then it is pleasant. n8n assumes you know what JSON is and are comfortable with an expression like {{ $json.email }}. The reward is that you rarely hit a wall.

Which handles complex logic best?

• Loops over lists, merging branches, error handling routes and sub-workflows: n8n and Make are stronger than Zapier here.
• Custom code: n8n's code node supports JavaScript and Python, and you can install npm packages when self-hosted. Zapier and Make offer code steps with more limits.
• Calling an API with no ready-made app: all three have an HTTP module. n8n makes it a first-class workflow.

What about AI features?

All three added AI steps for calling language models, and n8n has built-in agent and tool nodes that let a workflow call a model in a loop. Whichever you use, the cautions from why AI agents fail in production apply: keep the model's job narrow, validate its output and add a human approval before irreversible actions.

How should you choose?

• You are non-technical, need a handful of simple automations, and want zero maintenance: Zapier.
• You want a visual tool for data-heavy flows and are happy with a hosted service: Make.
• You are a developer, run many steps or high volume, need custom code, or must keep data on your own servers: n8n.
• You are unsure: build the same one real workflow in two of them and compare how it felt and what it would cost at ten times the volume.

Switching later is possible but workflows do not transfer automatically. Keep them small and documented, so a rebuild takes a day, not a month.