September 8, 2026 · Maksim Shchegolev

n8n vs Zapier vs Make: Which Automation Tool

Choose between these 3 tools on error handling and who owns the instance, not on connector count. Connector count is where all 3 look similar in a comparison table, and error handling is where they diverge in production, when a run fails at 2 in the morning and somebody has to find out whether the lead was lost.

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In one sentence

Choose on error handling and who owns the instance, not on connector count, because connector count is where all three look similar and error handling is where they diverge in production.

Comparison tables for these three tools usually count integrations and compare monthly prices. Both are the wrong axis. Every one of them connects to the systems most teams use, and the price difference is small next to the cost of a workflow that fails quietly for three weeks.

The short version

Error handling is the axis that matters

The failure mode that costs money is not an outage. It is a workflow that runs, calls an external API, gets a rejection on one payload in fifty, and reports success because the platform-level call did not error.

Forty-nine records arrive. One does not. Nothing alerts, because from the automation’s perspective it ran.

Zapier’s model is built around simplicity, and its error handling reflects that: it retries, then pauses the Zap after repeated failures, then emails the account owner. That last step is where it breaks in practice, because the account owner is frequently someone who has left the company.

Make offers better structural control, with error handlers attachable per module and explicit routes for failure.

n8n gives the most control, including error workflows that can themselves do work: write to a dead letter store, alert a channel, and reconcile counts. That control is the reason to choose it, and it is worth nothing if nobody configures it.

The practical point applies to all three. Whichever you pick, an external call without a failure path is the defect, and the platform is not going to add one for you.

Pricing shape, not price

Zapier charges per task. Every step in every run consumes one. That model is fine at low volume and becomes noticeable when a trigger fires on every record change rather than on the transition you care about.

The most common Zapier cost problem we see is not scale. It is a filter placed after the trigger instead of a condition inside it, so the platform bills for runs that are immediately discarded.

Make charges per operation with a materially lower unit cost, which is why teams with high-volume, low-value automations often land there.

n8n self-hosted charges nothing per task. It charges in attention: upgrades, backups, and the restart at an inconvenient hour. That is a real cost and it is paid by a person, not a budget line, which makes it easy to underestimate.

Self-hosting is a commitment, not a saving

The right reasons to self-host n8n are data residency, task volume, and needing control over the execution environment. If personal data should not transit a third party, the decision is usually made for you.

The wrong reason is avoiding a subscription. If nobody on your side will own the instance, the cloud option is the honest answer, and n8n offers one.

We put this on the n8n agency page as well, because it is the decision teams most often get backwards.

Where the tool stops and your rules begin

All three are good at moving data and calling things in order. None of them is a good place to keep ownership rules.

Rule precedence, fallback queues, capacity limits and who owns a record when the assigned rep leaves need versioning, an audit trail, and a person accountable for the order they run in. Encoding that inside a visual workflow means that six months later nobody can answer why a specific lead reached a specific rep.

Keep the rules in a layer that is designed to hold them, and let the automation platform execute. The boundary is set out in Lead Hub versus CRM, and the rules themselves in the lead routing playbook.

Choosing, in four questions

Does personal data need to stay in your environment? If yes, n8n self-hosted, and the rest of the comparison is academic.

Will a named person own the instance? If no, Zapier or Make. Self-hosting without an owner degrades within two quarters.

Do the connectors you need exist natively? If yes on Zapier, its setup speed is a genuine advantage and the premium is usually worth it. If you are reaching for generic HTTP calls repeatedly, you have outgrown that advantage.

How many runs per month? Below a few thousand, total cost is dominated by setup time, so optimise for speed. Above that, the pricing shape starts to matter more than the licence.

Migration is a rebuild

Teams ask whether workflows can be converted. Mechanically, sometimes. Usefully, no.

The trigger semantics differ, the error models differ, and a converted workflow carries the assumptions of the platform it was designed on. The most common outcome is a migration that reproduces the original silent failures on new infrastructure.

Rebuild the critical paths, add the error branches you did not have, and run both in parallel until the counts match. That parallel run is the only migration test that means anything.

What we would actually recommend

For most teams under a few thousand runs a month with standard tools, stay where you are and fix the error handling. That is a day of work and it addresses the failure that is actually costing you.

For teams with data constraints or high volume, n8n, with a named owner and a maintenance cadence agreed before launch.

For teams with complex branching and no appetite for infrastructure, Make.

The migration decision is rarely urgent. The error handling decision always is.