The question we get most often, before "how much does this cost" and right after "can AI do this": should we use n8n or Zapier? Sometimes Make.com gets pulled in too. The answer is almost always "it depends," and that answer is unsatisfying, so let's be specific.
After dozens of builds, here's how we actually choose.
When Zapier wins
Zapier wins when you need it yesterday.
If the workflow is straightforward, the team doesn't have a technical owner, and you want something live by Friday, Zapier is the right answer. The interface is friendlier, the integrations catalog is the largest in the market, and "did anyone do this before" usually has an answer in the templates section.
We default to Zapier when:
- The workflow has fewer than five steps and no branching
- The data flowing through is small
- The workflow is owned by a non-technical operator who needs to maintain it
- Speed-to-launch matters more than cost-at-scale
Where Zapier breaks
Zapier breaks at scale, both technically and financially.
The pricing structure is per-task — every step in every run counts. A workflow that fires 10,000 times a month with five steps is 50,000 tasks. At higher tiers, that adds up fast. We've seen Zapier bills creep past $1,500/month for workflows that took us a weekend to rebuild on n8n at near-zero marginal cost.
It also struggles when:
- You need branching, loops, or conditional sub-workflows
- You need to handle large payloads (file attachments, big API responses)
- Your data is sensitive and you want it self-hosted
- You need version control or staging environments
When n8n wins
n8n wins when the workflow has weight.
Open source. Self-hostable. Code-friendly. The pricing model isn't per-task, which changes the math entirely once you're running at any volume.
We default to n8n when:
- The workflow has more than eight steps or has branching logic
- Volume is high enough that per-task pricing would be brutal
- You want to keep data on your own infrastructure
- The build is going to be maintained by a technical owner
- You expect to run multiple workflows that share data
Where n8n breaks
n8n's friendlier abstractions are also its limits.
Non-technical users can build with n8n, but the surface area is wider, and that means more rope. We've seen non-technical owners get stuck on errors that a developer would solve in five minutes. If your team can't read a stack trace, n8n adds friction.
It also requires you to manage hosting (or pay for n8n cloud), and the integrations catalog, while big, is smaller than Zapier's. For some niche SaaS tools, you'll be writing custom HTTP nodes.
Make.com (briefly)
Make.com sits in between: more powerful than Zapier, more visual than n8n, but locked into their cloud and with a pricing structure that, while better than Zapier per-operation, still climbs at scale.
We use Make for clients who want power without managing hosting and don't mind cloud lock-in. It's the right answer often enough that we don't dismiss it, but it's rarely our default.
What we actually default to
For most of our builds: n8n.
Not because it's the best for every job — it isn't — but because the engagements that come to us are usually past the volume threshold where Zapier's per-task pricing starts to bite, and the technical ownership is in place either internally or via us. n8n gives us the ceiling we need without the floor problems.
For lighter builds, internal tooling, or workflows owned by a non-technical operator, we still reach for Zapier without hesitation. It's the right tool when speed matters more than cost-at-scale.
The mistake is picking based on what's familiar. Most teams use whatever the first person on the project knew. The right choice depends on volume, ownership, sensitivity, and complexity, and it's worth a real conversation before you commit to a backbone you'll be living with for three years.