Make vs Zapier: which to choose in 2026

How they feel to use

Zapier builds automations as a vertical list. A trigger starts the run and each step below it does one thing. A person with no technical background can build a working automation in an afternoon, and the library of connected apps is very large.

Make draws the same logic as a canvas of connected modules. You can see branches, merge paths, loop over every item in a list and inspect the data passing through each module. The learning curve is steeper, and the reward is that complicated flows stay readable.

Both can call AI models, run on schedules, listen for webhooks and connect to most business tools. The meaningful differences are structure, error handling and the way usage is counted. If your needs go beyond both, our n8n comparison with Make covers a third option.

Decision table

Worked example: counting the bill

Zapier counts a task each time an action step runs successfully, and the trigger does not count. Make counts an operation each time a module runs, including the trigger, and newer plans call the unit a credit. Both vendors adjust plans and rules, so confirm the current counting rules on their pricing pages. The arithmetic below uses the principle.

Workflow: a new online order arrives, then the automation adds a row to a sheet, creates an invoice, posts to a team chat, sends a confirmation email and updates the CRM. That is one trigger and five actions.

The counts end up close. What differs is the price per unit on the plan you land on, so check the allowance and the cost per extra thousand on each. Also watch scheduled polling: a scheduled check that finds nothing can still use a run on Make, while an instant trigger or webhook does not. Add up your own steps before reading any vendor's headline number.

Errors, retries and visibility

Automations fail in the boring ways: an app times out, a field arrives empty, a name has an unexpected character. Plan for that from day one.

• In Zapier, failed runs appear in a history where you can replay them after fixing the cause. Alerts by email are simple to set.
• In Make, you can attach an error handler to a module: retry, ignore, route to a fallback path, or store the failed bundle. That is more work to set up and much more flexible.
• In either tool, send failures to a place a human sees daily, such as a chat channel, and name an owner.

A silent failure in an invoicing automation costs more than the tool does. That matters more than any feature list.

When each one wins

Zapier wins for small teams who want to connect two or three apps today and never think about it again. It also wins when the person maintaining it is a marketing or operations manager, not an engineer.

Make wins when the process is the product: order handling, onboarding, reporting, anything with conditions and lists. It also wins when you expect to grow the flow, because adding a branch on a canvas is cleaner than stacking paths in a long list.

Our agency builds on both. See Make automation and Zapier automation for how we scope each, and AI automation when a model step is involved.

What it costs to switch

There is no one-click import between the two. You rebuild each workflow, which is usually a few hours per flow once the logic is written down. The real work is testing with live data, because mapping rules and date formats behave differently.

1. Document each flowTrigger, every step, every condition, and who gets alerted on failure.
2. Rebuild one low-risk flow firstRun both tools side by side for a week and compare outputs.
3. Migrate in order of riskMove low-stakes flows first, money-related ones last.
4. Switch off the old flow only after a clean cycleA full month-end is a good test for finance flows.

If you want a second pair of eyes before choosing, contact us for a fixed quote on mapping your flows and counting your real usage.