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What we build in n8n

For high execution volume, self-hosting requirements, or logic complex enough that you want real code inside nodes. Execution-based pricing on their cloud, or effectively free on infrastructure you already run.

Short answer

n8n is the right answer when the reason is economics or data residency rather than features. Workflows are node graphs, similar in shape to Make, but with first-class code nodes and a JSON representation that works well in version control. We build on it when execution volume is high, above roughly 100,000 steps a month, when data cannot leave your infrastructure, or when you already run containers and the marginal cost of one more service is near zero.

We do not build on it when nobody owns the server. Self-hosting costs a server, typically $10 to $40 a month for a small cloud instance, plus patching, backups, monitoring and upgrades. When neither economics nor residency applies, Make is usually the easier tool.

What it is, and where it sits

n8n is a workflow automation platform you can self-host. Workflows are node graphs, similar in shape to Make, but with first-class code nodes and a JSON representation that works well in version control.

The reason to choose it is almost always economics or data residency rather than features. When one of those applies it is decisively the right answer; when neither does, Make is usually the easier tool.

What we build in it

  • High-volume event processing where per-step pricing would be punishing
  • Workflows handling regulated or residency-constrained data that cannot leave your infrastructure
  • Data transformation pipelines using real code inside the workflow
  • Custom API integrations for systems with no off-the-shelf connector
  • AI orchestration with retries, fallbacks and structured-output validation
  • Internal tooling where workflows are version-controlled alongside application code

How it is priced

Two very different models.

ModelWhat you pay forBest when
n8n CloudPer execution: one whole workflow run, regardless of how many steps it contains.Workflows are complex rather than merely frequent. A 40-step workflow costs the same as a 3-step one, which inverts Make's incentive.
Self-hostedNothing per anything. A server, typically $10 to $40 a month for a small cloud instance, and unlimited executions against it.Someone owns the infrastructure. The constraint becomes CPU rather than billing.

The saving at volume is real and can run to thousands a year. It evaporates if self-hosting consumes an afternoon a month of someone expensive, so count that honestly.

When to choose it, and when to think twice

Choose it when
Think twice when
Execution volume is high, above roughly 100,000 steps a month. This is usually decisive.
Self-hosting is a commitmentPatching, backups, monitoring and upgrades. Not hard, but not nothing, and it needs an owner.
Data cannot leave your infrastructure for compliance or residency reasons.
Smaller connector library than MakeMore things need custom HTTP nodes, which is fine for us and less friendly for your team later.
Your transformations involve genuine programming rather than field mapping, and you want workflows in Git with review and rollback.
Less approachable for non-technical staffThe code-node flexibility that makes it powerful also makes workflows harder for an operations manager to read.
You already run containers or a cluster, so the marginal cost of one more service is near zero.
You own the uptimeIf your server is down, your automations are down, and that is your problem rather than a vendor's.
No commercial relationship

We hold no reseller agreement with this vendor, take no affiliate commission, and do not resell licenses. You buy your own subscription directly. It is the only arrangement under which our recommendation means anything.

Want the cost model run on your numbers?

Tell us your workflows and volumes and we will show you the three-year cost across every option.

You will talk to Fayez or Kareem. Nobody else.