Key takeaways
- Zapier charges per task executed, so costs rise exactly as your automation succeeds. That is the trade-off to understand before committing.
- n8n can be self-hosted, which removes per-task pricing entirely and keeps data on infrastructure you control — but somebody has to maintain it.
- For a business running a few hundred automations a month with no data-residency concerns, Zapier is genuinely the right answer.
- Data residency is the deciding factor for organisations handling student records, health data, or financial documents.
The three tools do the same job — connect systems, move data, run logic on a schedule or a trigger. They differ in pricing model, hosting, and who has to maintain them, and those differences matter more than the feature comparisons suggest.
The pricing models are the real difference
Zapier charges per task executed. Every step in every run counts. This is fine at low volume and becomes the dominant cost at high volume — which means your bill rises exactly as your automation succeeds. A workflow firing several thousand times a month is a very different proposition from one firing fifty times.
Make charges per operation too, generally at a lower rate, and gives more logic per operation. It sits in the middle on both price and complexity.
n8n is open source. You can pay for their cloud, or self-host it on your own server for the cost of the server. Self-hosted, per-task pricing disappears entirely.
Understand this before you build, because the cost curve is what people regret, not the feature set.
Where each one wins
Zapier wins on time-to-first-workflow and breadth of integrations. If you need Gmail talking to a spreadsheet talking to a CRM by this afternoon, and you will run it a few hundred times a month, Zapier is the correct answer and I will say so. Paying more per task for something that works today is a legitimate trade.
Make wins when workflows have real branching logic and you want a visual canvas to reason about it. Its routing and iteration model handles complexity more gracefully than Zapier's linear steps.
n8n wins on two things: cost at scale, and data control. Self-hosted on a modest server, it runs unlimited executions for a flat infrastructure cost. And nothing leaves infrastructure you own unless you explicitly send it somewhere.
Why data residency matters here
That second point is the deciding factor more often than people expect in Nepal.
Organisations handling student records, health information, or financial documents frequently have obligations — contractual, regulatory, or simply reputational — about where data sits. A hosted automation platform means every record passing through a workflow transits a third-party service in another jurisdiction.
Self-hosted n8n keeps orchestration and stored state on your own infrastructure. Anything you send to an external API still leaves, of course, which is why the design work involves scoping exactly which fields a language model actually needs and stripping the rest before the call.
If your data is ordinary business data, this consideration does not apply and you should ignore it.
The maintenance question
Self-hosting is not free, it just moves the cost from a subscription line to an operational one.
Somebody has to apply updates, run backups, monitor uptime, and know what to do when it stops at an inconvenient moment. If nobody on your team owns infrastructure, the hosted option removes a genuine burden and the subscription is buying you something real.
This is the honest trade-off, and it is the one most comparison articles skip because it does not fit in a feature table.
A decision that holds up
Work through it in this order:
- Do you have data-residency obligations? If yes, self-hosted n8n, and the rest of the questions are secondary.
- Roughly how many executions per month? Under a few hundred, hosted tools are cheap enough that the decision does not matter much. In the thousands, the per-task model becomes the dominant cost.
- Does anyone own infrastructure? If no, avoid self-hosting regardless of the cost argument. An unmaintained server is a worse outcome than a subscription.
- How complex is the logic? Heavy branching favours Make or n8n over Zapier's linear model.
On switching later
You can move, but it is a rebuild rather than a migration. Workflows do not transfer between platforms — the logic carries over, the implementation does not.
Budget roughly the original build effort if you switch. That is not a reason to over-engineer the first choice, but it is a reason to think about where your volume will be in two years rather than where it is this month.
What I default to
For clients in Nepal, self-hosted n8n more often than not — the cost model is predictable, the data stays put, and the server cost is modest.
But I have recommended Zapier to businesses where the volume was low, nobody owned infrastructure, and the fastest path to a working automation mattered more than the cost curve. That is a real answer, not a consolation prize.
Questions
Can we switch tools later?
Yes, but it is a rebuild rather than a migration — workflows do not transfer between platforms. The logic carries over, the implementation does not. Budget roughly the original build effort if you switch, which is a reason to think about scale before choosing.
How hard is self-hosting n8n?
Straightforward to stand up with Docker, ongoing to maintain: updates, backups, monitoring, and someone who knows what to do when it stops. If nobody on your team owns infrastructure, the hosted version removes a real operational burden.
