n8n vs Make vs Zapier: which should a small business use?

Pick Zapier if you want the widest app support and the fastest setup and you are automating straightforward A-to-B connections. Pick Make when your workflows branch, loop and transform data and you want to see that logic laid out visually. Pick n8n when you need to self-host for data control, or when your volume makes per-task pricing painful.

All three do the same fundamental job: watch for something happening in one system and make something happen in another. They differ in how much complexity they let you express, how they charge, and who holds your data. That last one decides it more often than people expect.

Zapier: the default for a reason

Zapier has the largest catalogue of supported applications by a wide margin, and if you are connecting two well-known SaaS tools it almost certainly supports both. Setup is deliberately linear and approachable — most people build a working automation without documentation.

The trade-offs are cost and ceiling. Pricing is task-based, so a workflow firing thousands of times a month gets expensive quickly, and every step in a multi-step automation typically counts. Complex branching is possible but awkward; past a certain intricacy you are fighting the interface. It is the right tool when the automation is simple, the volume is low and your time matters more than the subscription.

Make: visual logic for complex workflows

Make lays a workflow out as a diagram rather than a list, which sounds cosmetic and is not. When a process branches by condition, loops over a list of line items, retries a failed call and merges paths back together, seeing it as a map is genuinely easier to build and far easier to debug months later.

It also tends to be more economical per operation than Zapier at comparable volume, and it handles data transformation more comfortably. The cost is a steeper learning curve and a smaller app catalogue — still large, but you are more likely to hit something unsupported and need a generic HTTP call. Make is the sensible default when the logic is real logic rather than a straight line.

n8n: control, and no per-task meter

n8n can be self-hosted on your own server, which changes two things. Your data does not pass through a third party you do not control, which matters for client records, health information or anything under a contractual confidentiality obligation. And you are paying for a server rather than per task, so a high-volume workflow costs roughly the same as a quiet one.

It is also the most extensible of the three: you can drop into JavaScript wherever the built-in nodes run out, which means almost nothing is impossible. The honest cost is that self-hosting is real operational work — updates, backups, monitoring, uptime. If nobody owns that, the automation that runs your business is quietly sitting on an unpatched server. There is a managed cloud version that removes this burden, at which point the main remaining advantage is the pricing model and the extensibility.

Where all three will disappoint you

Three failure modes are common to every platform, and none of them appears in the marketing.

• Silent failures. A workflow stops firing because an API token expired or a service changed its response, and nobody notices for a fortnight because nothing errors visibly. Build a notification for failures on day one, not after the first incident.
• Rate limits. The service you are calling will throttle you, usually at the worst moment. Retries with sensible backoff are not optional on anything running at volume.
• Version drift. Connectors get updated and behaviour shifts underneath a workflow you have not touched in months. Anything business-critical needs to be tested periodically rather than assumed to be running.

This is the honest argument for having someone technical involved in anything load-bearing. Building the happy path takes an afternoon on any of these tools. Making it fail safely, log usefully and recover on its own is the actual engineering, and it is what separates an automation you can depend on from one that quietly stops working.

The questions that actually decide it

• How sensitive is the data? If client records or confidential information pass through the automation, self-hosted n8n is worth serious consideration and may be required by your obligations.
• How many times will this run? Estimate monthly executions honestly, including every step. Per-task pricing is fine at low volume and brutal at high volume.
• How complex is the logic? A straight line suits Zapier. Branches, loops and merges suit Make. Anything needing custom code suits n8n.
• Who maintains it? If the answer is a non-technical person, Zapier’s simplicity has real value. If it is a developer, n8n’s flexibility does.
• Are your apps supported? Check before committing. A missing connector is workable through a generic HTTP request, but only if someone is comfortable doing that.

What most small businesses should actually do

Start on the platform you can build on this week, and prove the workflow is worth having before optimising what it runs on. A working automation on a slightly expensive platform beats a perfect one that never gets built, and migrating a proven workflow later is a known, finite job.

The one exception is data sensitivity. If the information genuinely cannot pass through a third-party service, that constraint is not something to revisit later — it decides the platform on day one.

And it is worth saying that the platform is the least important decision here. A well-mapped workflow will work on all three. A badly mapped one will fail on all three, having cost the same to build.

We build on n8n and Make depending on what the workflow and the data actually require, and the reasoning is explained rather than presented as a house preference. Our AI automation service covers how that choice gets made, and who holds the credentials afterwards.