Zapier vs Make: Which Automation Platform Should You Use?

If the people building your automations are not technical and the automations are mostly “when X happens in app A, do Y in app B”, Zapier is the right answer — it has more app connectors than anyone and the linear builder is genuinely hard to get wrong. If your automations branch, loop over lists, call APIs that have no connector, and need to recover cleanly when a step fails, Make gives you far more control per unit of spend and will not hit a wall. Both are good products. The choice is really about who is building and how gnarly the logic gets.

The short answer

• Pick Zapier if non-technical staff own the automations and breadth of app coverage matters more than logic depth.
• Pick Make if you routinely need branching, iteration over arrays, aggregation, retries and error routes — and someone on the team enjoys building.
• Pick Make if you run high volumes of small steps, because its billing unit is finer-grained and stretches further.
• Pick Zapier if the automation needs to live inside a wider stack of forms, tables and AI agents from one vendor with one bill.

Where they differ that actually matters

How you build

Zapier’s builder is a vertical list. A trigger, then steps, top to bottom. You can add filters and Paths for conditional branches, but the mental model stays linear, and that is deliberate — it is why someone in finance can build a working Zap in an afternoon without help.

Make’s builder is a canvas of connected modules. You see the whole scenario as a diagram, drag in routers to split flows, and wire branches back together. It is more to learn. In exchange, when a scenario has nine steps and three branches, you can actually see what it does, which is exactly when a linear list becomes hard to reason about.

Handling data that comes in lists

This is the difference most buyers discover too late. A trigger often returns a collection: line items on an order, rows in a spreadsheet, attachments on an email. Make has iterators and aggregators as first-class modules, so splitting a bundle into items, processing each, and recombining the results is a normal thing to build.

Zapier can loop, but it is more constrained and less natural, and complex data reshaping tends to end up in a code step. If your work involves invoices with line items, multi-row syncs, or anything where one trigger means N actions, Make will save you real time.

Errors, retries and what happens at 3am

Make lets you attach error handlers to individual modules — ignore, resume with a fallback, roll back, or route down a different path — plus incomplete executions you can inspect and re-run. Zapier’s model is simpler: failed runs surface in a history you review and replay. For low-stakes automation that is plenty. Where a silent failure costs money — order sync, billing, provisioning — Make’s explicit error handling is safer.

Connectors versus raw HTTP

Zapier’s connector library is the largest in the category, in the region of nine thousand apps, and the long tail is where it wins: obscure SaaS products often have a maintained Zapier integration and nothing else. Make lists around three thousand.

That gap matters less than it looks if you are comfortable with APIs. Make’s HTTP module is a properly capable REST client, and building a custom app for an internal system is a documented path. If nobody on your team will ever read API docs, though, Zapier’s connector count is a real advantage and worth paying for. Our guide to business process automation platform essentials covers how to scope this before you commit.

How you get billed for volume

Neither charges per user in the way project tools do — both meter consumption. Zapier counts a task each time a Zap successfully completes an action; polling for data does not count. Make counts a credit per module action inside a scenario, so a scenario with six modules consumes six per run.

The practical consequence: Make’s unit is smaller and its allowances larger, so heavy many-step workflows tend to cost less there. Zapier’s unit is coarser but easier to forecast, since one outcome is roughly one task. Model your own volumes on both pricing pages — the free tiers are evaluation tools, not plans.

Side by side

Who each one is really for

Zapier is for organisations where automation is a distributed habit rather than a specialism. Marketing wires a form to a CRM, ops routes a Slack alert, support syncs a spreadsheet. Nobody is called an automation engineer. Zapier’s breadth and its refusal to expose complexity suit that exactly, and its Tables, Interfaces and agent products let those people build small internal tools without another vendor.

Make is for teams with an owner. One or two people who build most of the scenarios, understand the systems they connect, and will read documentation when a connector does not exist. Those teams get more capability for the money and hit fewer ceilings. Agencies running automation for clients skew heavily to Make for this reason.

When neither is the right answer

If you are moving large volumes of records between databases and warehouses on a schedule, this is ETL, not automation, and a data pipeline tool will be cheaper and more reliable than paying per action. If your logic lives inside one product’s own domain — deal stages in a CRM, ticket routing in a helpdesk — use that product’s native rules first; a third-party automator adds latency and another thing to monitor. And if you already run an engineering team, a few scheduled jobs in your own codebase may beat either platform. See how to make your business more efficient with automation for framing which problems are worth automating at all.

FAQs

Which is cheaper?

It depends on shape. Make bills per module action and Zapier per completed task, so a multi-step scenario burns more Make credits per run — but Make’s allowances are far larger. Count your runs and steps per run, then price both.

Can I migrate automations between them?

Not directly. There is no import that converts Zaps to scenarios or back. Migration means rebuilding, which is usually a week or two of work for a modest library — a good reason to decide deliberately rather than drift.

Do I need both?

Some teams do, using Zapier for the long tail of connectors and Make for heavy scenarios. It works, but you pay two subscriptions and maintain two mental models. Consolidate unless a specific connector forces the split.

How do the AI agent features compare?

Both now ship AI agents and MCP support alongside classic automation. They move fast and are not yet a stable basis for a long decision. Choose on builder model, error handling and connector coverage, and reassess the agent layer at renewal. Our overview of small business technology integration is a useful sanity check first.

Both vendors change plan limits, metering rules and feature gates regularly, and AI features in particular are being reshuffled between tiers. Check Zapier’s and Make’s current pricing and product pages before you buy.