Make vs Zapier

You want a cloud-only visual workflow tool. The choice is between the deepest catalog (Zapier) and the most flexible canvas (Make).

Make logo

Make

Visual workflow builder with 1,800+ apps and deep branching logic — enterprise automation made approachable.

Read review →
Zapier logo

Zapier

Connects 7,000+ apps with no-code automation, AI-powered Zaps, and Tables/Interfaces — the default automation layer for SaaS.

Read review →

Our take

Zapier wins on raw integration count and polish. Make wins on price (per ops is usually 2-5脳 cheaper than per task), branching logic, and visual control. For non-trivial flows, Make. For one-off "trigger A 鈫?action B", Zapier.

  • Make wins 4
  • Zapier wins 3
  • Ties: 2

Side-by-side

Make Zapier
Integration count 1,800+ 7,000+
Pricing model Per operation (per module/run) Per task (per action; trigger free)
Pricing efficiency 2-3x cheaper at 3+ steps Can balloon on multi-step
Branching / loops First-class routers, iterators, aggregators, error handlers Paths + Looping (extensions to a linear model)
Debugging Visual canvas replay Task-history list + Replay
AI features AI modules chained on canvas More polished AI Actions / Agents
Onboarding Steeper (~1 week to click) Easiest in category (5 min)
Self-host DB No No
Lock-in DB High High

DB rows are facts from the Tool Database. The mark is our editorial verdict, not a sourced fact.

Evidence & sources

Comparison facts are drawn from our Tool Database; the verdict and analysis are editorial. Verify each fact against the official sources below.

Make

Last verified:

Official site ↗

Zapier

Last verified:

Official site ↗

Pricing: per-task vs per-operation

This is the most important single difference and the source of most teams pricing surprise. Zapier bills per task -- every action step that fires counts as one task, and the trigger is free. Make bills per operation -- every module in a scenario counts as one op per run, including the trigger and inline transforms. The two models compound very differently on multi-step workflows.

A worked example: a 5-step workflow firing 1,000 times a month is ~5,000 ops on Make and ~4,000 tasks on Zapier. Unit counts are close, but Make ops cost roughly half as much per unit at equivalent tiers, so Make typically lands 2-3x cheaper on workflows of three or more steps. For a simple two-step Zap the gap is small and Zapier polish usually wins. The crossover sits around 3-4 steps and a few thousand runs a month.

Branching, routers, iterators

Make wins decisively. It was designed around a canvas with first-class routers (branch by condition into parallel paths), iterators (split an array, run each item downstream, then aggregate), aggregators (combine parallel results), and error handlers (catch failures and route to a recovery path). These are core primitives on the canvas, not features layered onto a chain.

Zapier has Paths (conditional branching) and Looping (iteration), but both feel like extensions to a fundamentally linear trigger-to-action model. For two or three branches and a loop, Paths and Looping work fine; for five or more branches, nested iterators, or recovery paths, Make is better suited and friendlier -- you see the whole logic on the canvas instead of clicking through tabs.

Debugging and AI

Both debuggers are solid but shaped differently. Zapier has a clean task history with per-step input/output and a Replay button -- enough to triage 2-3 step Zaps quickly. Make has full execution history with canvas-style visual replay, per-module bundles, and configurable error handlers; for 8-12 step branching scenarios, watching data flow through the canvas is far easier to reason about than a list view.

On AI, Zapier has the more polished product surface -- AI by Zapier, Zapier Agents, native OpenAI/Anthropic Actions -- and the cleanest drop-an-AI-step experience. Make has AI modules (OpenAI, Anthropic, Hugging Face, ElevenLabs) plus the canvas to chain them with branching and aggregation, so it wins when AI is embedded in real multi-step logic. For genuinely agentic work, a dedicated agent platform beats either workflow tool.

Lock-in and migration

Both are high lock-in in the same ways: cloud-only, no export to a portable format, manual rebuild to migrate. The realistic risk is not shutdown -- both are mature and well-funded -- but a pricing change or product-direction shift, where your only responses are stay or rebuild. If owning the runtime or portability matters, a source-available self-host tool (n8n, Activepieces, Windmill) is the better fit.

Migration has no importer either direction. Zapier to Make is usually straightforward (Paths become routers, Looping becomes iterators, Formatter steps become inline functions). Make to Zapier keeps fidelity only for simple scenarios -- deep router nesting, iterators feeding aggregators, or error-handler chains cannot map one-to-one and often become two or three Zaps where one Make scenario lived. Cutover pattern either way: rebuild, test with real data, run parallel a week, switch the trigger, keep the old flow disabled 30 days as rollback.

Our take

Frame the choice by workflow shape, not by which product is better overall. Mostly one- or two-step glue across a wide SaaS stack: Zapier, and it has been the right answer for a decade. Multi-step automation with real branching and conditional logic: Make wins on both capability and cost, usually by enough to justify the learning curve.

For a growing team the answer is often both, eventually. Start on Zapier because it ships faster; move heavy multi-step workflows to Make once the bill stings or the Zaps fight their own linearity; keep Zapier for the long-tail integrations Make does not cover natively. Combined cost is usually lower than going all-in on Zapier at the same volume, and each tool ends up doing what it does best -- provided you accept two cloud-only, high-lock-in platforms.

FAQ

Which is better, Make or Zapier?
Zapier wins on raw integration count and polish. Make wins on price (per ops is usually 2-5脳 cheaper than per task), branching logic, and visual control. For non-trivial flows, Make. For one-off "trigger A 鈫?action B", Zapier.
What are the main differences?
Integration count: Make — 1,800+; Zapier — 7,000+. Pricing model: Make — Per operation (per module/run); Zapier — Per task (per action; trigger free). Pricing efficiency: Make — 2-3x cheaper at 3+ steps; Zapier — Can balloon on multi-step. Branching / loops: Make — First-class routers, iterators, aggregators, error handlers; Zapier — Paths + Looping (extensions to a linear model). Debugging: Make — Visual canvas replay; Zapier — Task-history list + Replay. AI features: Make — AI modules chained on canvas; Zapier — More polished AI Actions / Agents. Onboarding: Make — Steeper (~1 week to click); Zapier — Easiest in category (5 min). Self-host: Make — No; Zapier — No. Lock-in: Make — High (cloud-only, no export); Zapier — High (cloud-only, no export).
Is Make cheaper than Zapier?
Make: Per operation (per module/run). Zapier: Per task (per action; trigger free).
Full Make review → Full Zapier review →