Make vs Zapier
Both are workflow tools with published prices and a free tier, yet they meter differently and suit different builders. Make charges per operation and lays the logic out on a visual canvas; Zapier charges per task and has the widest connector list. Operations teams building branching flows land on Make, business users wanting a quick connection land on Zapier.
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Choose Make ifyou are building branching or looping automations at moderate volume, want the error routes visible on the canvas, and are prepared to count operations per module before committing to a plan.
Choose Zapier ifthe applications you need to link are obscure enough that only the widest connector list covers them, and business users must get an automation working without involving IT.
Make and Zapier side by side
| Make | Zapier | |
|---|---|---|
| Our integration platform rank | #2 of 14 | #7 of 14 |
| Established in | Czechia | United States |
| Pricing | Per operation per month, published; free tier | Per task per month, published; free tier |
| Free tier | Yes | Yes |
| Open source | — | — |
| Self-hostable | — | — |
| Built for | Operations teams building visible, branching automations at moderate volume | Business users connecting SaaS tools without involving IT |
| Not for | High-volume record synchronisation between core systems | Core system integrations that must not silently drop records |
Both are reviewed in full in our integration platform ranking: Make and Zapier.
Where they differ
Make 1 · Zapier 2 · open 1- 01
How the meter counts
Make bills every module in every iteration, so an eight-module scenario run over two hundred records spends sixteen hundred operations in one go. Zapier bills per task executed, which makes a high-volume flow the dearest on our integration page. Both prices are published and both climb with volume, so the cheaper one depends on the shape of your flow.
Depends on the buyer
- 02
Seeing and fixing a failed run
Make draws the error routes on the same canvas as the branches and loops, so you can follow what happened when a step broke. With Zapier a failed run sits in a separate history view that someone has to remember to check, and replaying a failed batch is largely a manual exercise.
Edge: Make
- 03
Reach of the connector list
Zapier's list is the broadest anywhere: many applications have a Zapier integration before they have an API document, so the niche tool a marketing team bought is usually already covered. Make's data points to its canvas and its meter as the selling points, not to connector breadth. If the obscure application is the problem, Zapier solves it.
Edge: Zapier
- 04
Effort to a first working automation
Zapier is the lowest-effort option for business users, with a working automation typically in place within an afternoon and no developer needed. Make's canvas is clear about control flow and suits operations teams, but larger scenarios become hard to read on it. For someone who simply wants two SaaS tools talking today, Zapier asks less.
Edge: Zapier
When neither fits
If a lost message would mean an invoice is never raised, neither workflow tool is the right transport: both are flagged as unsuitable for core record synchronisation. Celigo and Alumio are integration platforms built around error queues, where failed records wait to be replayed.
Make or Zapier: questions
3 answersIs Make cheaper than Zapier?
It depends on the flow. Make counts every module in every loop iteration as an operation, while Zapier counts tasks.
A short flow over many records and a long flow over few records price very differently, so cost one real flow at real monthly volume on each published meter.
Does Make or Zapier handle errors better?
Make, on the evidence we hold. Its canvas shows error routes next to the normal path, which makes a failure easier to reason about. Zapier logs failed runs in a history view that needs watching, and replaying a failed batch is mostly done by hand.
Can Make or Zapier synchronise records between core systems?
Neither is recommended for it. Make is a poor fit for high-volume record synchronisation because operations multiply per module and per row, and Zapier is not built to guarantee that records are never silently dropped.
Both are better kept for automating tasks a person would otherwise do.