Make vs Zapier
One question settles most cases: does the workflow branch and loop, or does it just move data from one app to the next?
The verdict
Choose Zapier for app coverage and a non-technical maintainer. Choose Make for branching, iteration and per-operation pricing on complex scenarios. Teams that outgrow both usually move to n8n.
Zapier's catalogue is larger and its editor asks less of a new user. For a straight chain of steps between well-known apps, that ease wins.
Make earns its place once a workflow branches, loops over a list, or reshapes data mid-scenario. Its visual builder shows that logic in a way a linear chain cannot. Neither tool self-hosts, so a private database or a compliance question sends both toward n8n.
Make and Zapier on the dimensions that change the decision
Checked against both vendors' own documentation on 14 August 2026. Feature counts move; the billing units move slowly.
| Dimension | Make | Zapier |
|---|---|---|
| App catalogue | 3,000+ standard apps, per Make's pricing page. | 9,000+ apps, per Zapier's pricing page. |
| Billing unit | Operations. Make says every time a module performs an action, it consumes one. | Tasks. Each successful action in a Zap counts as one; failed actions do not. |
| Branching and loops | Native on the canvas. Routers and iterators are visual, first-class steps. | Paths handle simple branching. Loops need a separate Looping by Zapier step and cost more tasks. |
| Loop cost | A hundred items through three modules spends three hundred operations. | A hundred-item loop spends roughly a hundred tasks per action inside it, similarly. |
| Self-hosting | No. Runs on Make's own cloud infrastructure only. | No. Runs in Zapier's cloud only. |
| Custom code | Available, but the canvas is the intended way to build. | Code by Zapier runs JavaScript or Python steps. |
| Who maintains it | Operations staff. The canvas is designed to be read by a non-engineer. | Operations staff, with no infrastructure to run. |
Make
Strong at
- Branching and iteration are visual and native, so complex routing stays readable on the canvas.
- Data mapping between steps is more capable than Zapier's, with less need for a code step to reshape a payload.
- Failed runs can be stored, inspected and retried once the setting is turned on.
- The connector library covers most ordinary business software.
Weak at
- Operations billing counts per item per module, so a loop over a hundred records costs a hundred times what the diagram suggests.
- A run that fails is discarded by default, unless you configure the scenario to store incomplete executions first.
- No self-hosting, so data residency has no answer beyond Make's own cloud.
- There is no real version control, so comparing two versions of a scenario is nothing like reading a diff.
Zapier
Strong at
- The larger catalogue means the connector almost always already exists.
- The editor asks less of a first-time user than Make's canvas.
- Failed actions do not consume tasks, so broken runs are not billed.
- Nothing to host, patch or monitor.
Weak at
- Branching is workable through Paths, but loops need an extra step and get expensive fast.
- No self-hosting, so a private database or a data-residency requirement has no answer.
- Complex, multi-branch logic is harder to read than the same logic on Make's canvas.
- Per-task billing on a long, frequent workflow adds up quicker than a single operations count.
- TriggerBoth handle this the same way.
- BranchNative router on Make. Paths on Zapier.
- LoopBuilt into the canvas on Make. An extra step on Zapier.
- BillingOperations per module action, versus tasks per successful step.
- ReachBoth stop at the public internet.
Two stations decide most cases: how much the scenario branches, and how the billing unit reacts to that branching.
Rules that settle it
Pick on what the workflow does, not on which tool you have already heard of.
- 01Zapier fits a straight chain between well-known apps, maintained by someone who is not technical.
- 02Zapier also fits when the connector you need is niche, since the catalogue is roughly three times larger.
- 03Make fits a workflow that branches into several paths or loops over a list of items.
- 04Make also fits when a non-engineer needs to read complex logic, since the canvas shows it visually.
- 05Neither fits a workflow that has to reach a private database or a system you would not expose to the internet. That is n8n.
- 06Neither fits when a partial run has consequences somebody must answer for. That needs a durable queue, not a canvas.
Common questions
01Is Make cheaper than Zapier?
Which one costs less depends on how much the workflow branches and loops. Zapier counts each successful action as a task and does not bill failures. Make counts each module action as an operation. A scenario with an iterator over many items can burn through operations fast, even on a short run. A simple, low-branch workflow often costs less on Zapier. A scenario with heavy branching can cost less on Make, because Zapier needs extra steps to do the same routing.
02Can you use both Make and Zapier?
Yes, though most teams settle on one to avoid maintaining two billing accounts and two places to debug. Where both are already in use, a common split is Zapier for simple app-to-app connections and Make for anything with real branching. Document which tool owns which process either way.
03Does Make replace Zapier's app catalogue?
Not entirely. Zapier's catalogue is larger, at over 9,000 apps against Make's 3,000-plus standard apps. Most common business software is covered by both. The gap shows up on niche or newer tools, where Zapier is more likely to already have a connector.
04When should a team move past both Make and Zapier?
Two situations. The workflow needs to reach a database or internal service you would not expose to the public internet. Or per-action billing on a high-volume workflow becomes the largest line in the automation budget. Both cases point at self-hosted n8n, which runs inside your own network and bills per workflow run rather than per step.
05Is Make harder to learn than Zapier?
It asks more of a first session. Zapier's linear chain of steps is closer to how most people already think about automation. Make's canvas, with routers and data mapping laid out visually, takes longer to get comfortable with but reads complex logic better once you are.
