What each tool actually is
Zapier is the tool most people meet first. It connects a trigger in one app to actions in others, calls the result a Zap, and holds the largest integration catalog in the category. Its whole design philosophy is that a nontechnical person should be able to connect two apps before lunch, and at that job it is genuinely good.
Make, formerly Integromat, is a visual scenario builder. You drag modules onto a canvas, wire them together, and watch data flow through the connections when a scenario runs. It handles branching, iteration, and aggregation that Zapier expresses awkwardly, and it has historically been priced more gently at comparable volume.
n8n is a workflow orchestration platform. It looks like a node canvas too, but underneath it is closer to a development environment: real code steps when you need them, sub-workflows, AI agent nodes as first-class citizens, and an HTTP node that can talk to any API with an endpoint. It is also the only one of the three you can host on your own infrastructure.
Three tools, three meters
Zapier bills per task. Every action step that runs consumes one, so a five-step Zap costs five tasks each time it fires. Simple automations stay cheap, and busy multi-step automations get expensive in direct proportion to how useful they are.
Make bills per operation, which is one module doing its job once. The unit is smaller and the allowances are typically more generous, which is a large part of why Make wins on cost for visual multi-step work.
n8n cloud bills per workflow execution: one run is one execution whether the workflow has three nodes or sixty. Self-hosted n8n has no license fee for the community edition, and the meter disappears entirely. What you take on instead is a server, updates, backups, and monitoring.
We quote no prices here because every vendor changes them. The models above are the durable part. Check the current pricing pages before you decide, and model your real monthly volume rather than the volume you have today plus optimism.
Where each one wins
Zapier wins when the job is simple and the team is nontechnical. New lead to spreadsheet row, form submission to Slack message, invoice paid to CRM update: two or three apps, a linear flow, set up in an afternoon by the person who needs it. Its integration breadth means even the obscure tool you use probably has a connector.
Make wins when you want real multi-step logic on a modest budget. Routing, iteration, and aggregation are visible on the canvas, debugging means watching the data move through a run, and the cost per unit of work is consistently friendlier than Zapier's at the same volume.
n8n wins when the logic gets serious. Complex branching, loops, custom code, APIs no platform has a connector for, and AI agent steps that reason inside the flow instead of being bolted on. It also wins whenever data control matters: self-hosting keeps customer data on infrastructure you control, which some industries simply require.
Where each one hurts
Zapier hurts at volume and at complexity. Per-task pricing turns a successful multi-step automation into a growing bill, branching logic fights the linear model, and everything you build lives on their platform under their terms.
Make hurts at the high end of complexity. Large scenarios become tangled canvases, error handling works but takes discipline, and like Zapier it is cloud only, so your data transits their servers whether you like it or not.
n8n hurts at the entry. The learning curve is real, the polished connector catalog is smaller than Zapier's even though the HTTP node closes most gaps, and self-hosting hands you operational responsibilities a managed platform would carry for you. Pointing n8n at a two-app job is more tool than the task deserves.
The comparison at a glance
The table below compresses the tradeoffs. It is honest general positioning, not a benchmark, and every row has exceptions.
| Dimension | Zapier | Make | n8n |
|---|---|---|---|
| Hosting | Cloud only | Cloud only | Cloud or self-hosted on your own infrastructure |
| Pricing model | Per task: each action step counts | Per operation: each module run counts | Per execution on cloud, no license fee self-hosted |
| Complexity ceiling | Low: linear flows, limited branching | Medium: routers, iterators, visual logic | High: code steps, sub-workflows, any API |
| AI-native steps | AI actions available as steps | AI modules through integrations | First-class AI agent and model nodes |
| Who it is for | Nontechnical teams with simple two-app needs | Teams building visual multi-step scenarios on a budget | Operations with complex logic, AI steps, or data control requirements |
You might not need the powerful one
A large share of the businesses that ask us about n8n need four automations, all simple. Lead to CRM, booking confirmation, review request, weekly report. Zapier or Make handles that comfortably, and recommending anything heavier would be dressing up a simple problem to justify a complex answer.
The pattern to avoid is buying a ceiling you will never touch. Platform power you do not use is not an asset, it is a maintenance surface and a subscription. Start with the tool that fits the workflows you can name today, and move up when a workflow you actually want refuses to fit.
The verdict
When we reach for n8n, and what you own either way
In client work we reach for n8n when at least one of four things is true: the logic branches hard enough that linear tools fight back, an AI agent step needs to reason inside the flow, the client needs data on infrastructure they control, or run volume makes per-task billing an argument against your own success. Those four cover most of our builds, because clients tend to come to us after the simple tools have hit their ceiling.
Whatever the platform, ownership does not move. We build inside your accounts, on your subscriptions, with credentials in your hands. n8n workflows export as JSON you can version and keep, and if we disappeared tomorrow, everything would keep running exactly where it already lives: with you.
Straight answers
The questions we hear about this choice.
Can we start on Zapier and move to n8n later?
Yes, and it is a sensible path. The move is a rebuild rather than an import, because the platforms express logic differently, but the thinking transfers: your triggers, rules, and edge cases are already mapped, and that is most of the work. Outgrowing the simple tool is a good problem.
Is self-hosted n8n really free?
The community edition has no license fee, and that is real. The costs that remain are a server to run it on and the attention to keep it updated, backed up, and monitored. For teams with technical capacity it is genuinely economical. For teams with none, n8n cloud or a partner who manages the instance makes more sense.
Do we need a developer to use n8n?
Not to run it day to day, and many workflows never touch code. Building and maintaining serious workflows does benefit from technical comfort, which is usually where we come in. We document every build so your team can read the system without us in the room.
Which platform is cheapest?
It depends on the shape of your workload, which is why we will not name a winner. Per-task billing favors rare, simple runs. Per-operation billing favors moderate visual complexity. Per-execution or self-hosted billing favors busy, many-step workflows. Model your real volume against the current vendor pricing pages before deciding.