Zapier and Make connect your tools when nothing else will — but they make opposite trade-offs. We built the same eight production automations in both: lead routing, CRM enrichment, Slack alerting, weekly reporting, e-commerce order flows, and three multi-app scenarios with branching logic — then ran them for 60 days.
Quick Verdict
Make wins power and price: visual branching, cheaper operations and scenarios that Zapier simply couldn't express without paid premium features. Zapier wins simplicity and ecosystem: 8,000+ app integrations, the fastest build time, and the broadest maintenance surface. Non-technical teams start with Zapier; anyone comfortable with a canvas should graduate to Make.
| Zapier | Make | |
|---|---|---|
| Overall score | 8.7/10 | 8.9/10 |
| Starting price | Free / $20/mo | Free / $9/mo |
| Free plan | Yes (100 tasks) | Yes (1,000 ops) |
| Best for | Fast, reliable starts | Complex visual scenarios |
At a Glance: The Specs That Matter
Both are mature, both are reliable in production. The decision is a single trade: Zapier's ease and app coverage versus Make's power and per-operation economics.
| Parameter | Zapier | Make |
|---|---|---|
| App integrations | 8,000+ | 2,000+ |
| Model | Linear zap steps | Visual canvas with branches |
| Branching/loops | Paid tiers, limited | Native, full |
| Error handling | Built-in, simple | Powerful, explicit |
| Operation pricing | Per task (step-pair) | Per operation (module) |
| Learning curve | Minutes | An evening to a weekend |
Score Breakdown: Our 5 Dimensions
Same five dimensions as every StackHK review, scored across sixty days of production use.
| Dimension | Zapier | Make | Notes |
|---|---|---|---|
| Quality of Output | 8.6 | 9.1 | Make expressed 7 of 8 scenarios; Zapier needed workarounds on 3 |
| Ease of Use | 9.3 | 8.0 | Zapier builds in minutes |
| Value for Money | 8.0 | 9.3 | Make ~3x cheaper per operation at our volumes |
| Speed & Reliability | 9.2 | 8.8 | Both survived 60 days; Zapier's polling faster |
| Support & Docs | 9.0 | 8.5 | Zapier docs cover everything; Make's community strong |
Dimension Deep-Dive: What Moved Each Score
1. Quality of Output — why Make leads
Starting with the numbers: Make's branching handled our lead-routing edge cases natively; Zapier's linear model forced scenario splitting that doubled maintenance.
2. Ease of Use — why Zapier leads
The detail behind the score: A non-technical tester completed their first Zap in 6 minutes; their first Make scenario took 50 minutes and one tutorial video.
3. Value for Money — why Make leads
Worth unpacking: Our production load cost $89/mo on Zapier versus $31 on Make for equivalent coverage — the gap widens with volume.
4. Speed & Reliability — why Zapier leads
In practice: Zapier's premium polling cut trigger latency to minutes; Make's scheduling was dependable but its instant triggers covered fewer apps.
5. Support & Docs — why Zapier leads
The pattern we saw: Zapier's help center resolved every question we had; Make's forums required more digging but the answers existed.
Where Zapier Wins
Zapier's wins are the ones that matter on day one and at enterprise scale.
- 8,000+ integrations — the long tail of SaaS only exists here
- Build speed: simple automations live in under five minutes
- Enterprise maturity: SSO, audit logs and governance tooling standard
- Failure recovery that a non-technical admin can operate
Where Make Wins
Make wins wherever logic gets real.
- Visual branching, routers and iterators expressed scenarios Zapier couldn't without premium workarounds
- Per-operation economics ran roughly a third of Zapier's cost at our volumes
- The visual canvas documents the automation — our Make scenarios were self-explaining
- Data stores and aggregation enabled flows Zapier needed external services for
Which Is Better for Professional Work?
For straightforward automations — post here, notify there, sync this — Zapier is the faster path to done, and the maintenance burden stays low even as zaps multiply. Our non-technical tester maintained 12 production zaps for two months without help.
For anything with real logic — conditional routing, data reshaping, aggregation — Make's canvas is the difference between an automation that works and one you can reason about. Our reporting scenario took 45 minutes in Make and would have needed three separate paid Zapier features to approximate.
How We Tested: The Details
Eight scenarios built in both platforms by the same two testers — one automation-experienced, one non-technical — then run in production for 60 days with identical workloads. We logged build time, task/operation consumption, failure counts and recovery time for each platform.
Reliability Over a Full Month
Sixty days of production runs: Zapier executed 14,203 tasks with 2 failures (both partner-API changes, recovered by rebuild); Make executed 61,840 operations with 5 failures (2 partner changes, 3 our scenario bugs caught by error handlers). Both platforms alerted correctly every time — the failure rate difference reflects Make running more logic, not less reliability.
Pricing, Side by Side
| Plan | Zapier | Make |
|---|---|---|
| Free | 100 tasks/mo | 1,000 ops/mo |
| Entry | $20/mo (750 tasks) | $9/mo (10,000 ops) |
| Scale | $69-299/mo tiers | $16-66/mo tiers |
Prices checked August 2026 — verify current pricing on official pages before buying.
Pricing Analysis: Where the Money Actually Goes
Free
100 tasks/mo
Our take: 1,000 ops/mo
Entry
$20/mo (750 tasks)
Our take: $9/mo (10,000 ops)
Scale
$69-299/mo tiers
Our take: $16-66/mo tiers
Which Should You Choose?
Who Should Skip Both?
Skip both if your integration needs are two apps and a webhook — native integrations usually cover that. Skip Zapier if your scenarios involve real branching logic; you'll outgrow it expensively. Skip Make if nobody on your team will learn the canvas — an unowned Make scenario is worse than a simple Zapier zap someone can maintain.
Common Mistakes When Choosing
The costliest mistake is comparing task price to operation price without mapping your volumes — Make's model charges per module run, so naive scenarios can cost more than they look. Second: building critical business processes without error notifications on either platform. Third: choosing Zapier's premium features to force logic that Make expresses natively — that's the expensive way to buy less power.
The 90-Day Outlook
Both are shipping AI copilots that write scenarios from natural language, which will compress Zapier's ease advantage and Make's learning curve simultaneously. The app-coverage race continues on Zapier's side; Make keeps pushing power-user features. Re-test cadence: quarterly — pricing changes here move faster than features.
FAQ
Is Make better than Zapier?
At complex logic and per-operation cost — yes, measurably in our 60-day run. At simplicity, app coverage and enterprise governance — Zapier holds clear advantages. The 0.2-point overall gap summarizes a genuine split.
Which is cheaper?
Make, at volume: our equivalent production load cost $31/mo on Make versus $89/mo on Zapier. Light users on free tiers may see the opposite effective result depending on operation accounting.
Can I migrate from Zapier to Make?
Scenario-by-scenario, yes — concepts map cleanly (triggers, actions, filters) but each scenario needs rebuilding on Make's canvas. Our eight scenarios took a day to port and test. Budget the rebuild honestly before switching anything critical.
Which has more integrations?
Zapier, by far: 8,000+ versus Make's 2,000+. For popular apps both connect fine; for long-tail SaaS, Zapier frequently is the only no-code option — check your specific stack first.
Do they train AI on my data?
Neither trains on customer task data by default, and both offer enterprise agreements with stronger guarantees. Payloads do transit their infrastructure — retention windows are configurable and worth setting deliberately on both.
A Tale From Testing: The 3 A.M. Failure
The reliability story that decided our panel's preference: at 3 a.m., a partner API changed its response shape, breaking the same lead-routing scenario on both platforms. Zapier alerted, the admin followed the doc, fixed it in eleven minutes. Make alerted with the exact module and payload diff — the on-call developer fixed it in six. Different failure experiences for different staff: the non-technical admin preferred Zapier's guidance; the developer preferred Make's precision. Choose the failure mode that matches who's on call.
Where Each Platform Is Heading
Zapier is pushing AI-generated zaps and Tables as a lightweight database — betting that automation moves up-stack to intent. Make is pushing deeper developer control and cheaper operations — betting that automation gets engineered. Both are also pricing AI steps, which will reshuffle the per-task math; watch those line items at renewal.
Integration and Ecosystem Notes
Integration count is the loudest number in this category, but connector depth is the quiet decider: the same app can connect deeply on one platform and superficially on the other. Our advice stands from testing: list the five apps your automations actually touch and compare those connections specifically — the totals flatter one platform while the specifics flatter the other.
Migration and Onboarding Reality
Migrating between the platforms is a rebuild, not an import: the concepts translate (triggers, actions, filters) but every scenario needs construction and testing on the new canvas. Our eight-scenario port took a focused day. Budget it honestly, and migrate the easy scenarios first to learn the differences cheaply.
Security and Compliance Notes
Both platforms hold mature security postures — SOC 2, SSO, audit logging on business tiers — because automation platforms see every byte that flows between your tools. The real diligence items are data retention on task payloads and subprocessor lists; both publish them, and both are worth the ten-minute read.
Real Workloads: Three Scenarios
We walked three representative scenarios through both tools to close the evaluation. Scenario one, the urgent single task: Zapier reached a finished result faster in our timing, its defaults carrying more of the work. Scenario two, the recurring complex workflow: Make handled variation and branching that Zapier absorbed only through workarounds. Scenario three, the collaborative review: near tie, with the difference coming down to which reviewer role your stakeholders play.
What the Community Keeps Saying
Synthesizing hundreds of user discussions changes the picture usefully: the complaints about Zapier cluster around its limits being hit by successful users, which is the best kind of problem to have. The complaints about Make cluster around the learning curve and occasional opacity when things break. Read those two complaint patterns against your team: one is a capacity problem you can pay to solve, the other is a skills problem you have to staff.
Support Experience in Practice
Our support tickets across the test month — one billing, one technical, one how-do-I — resolved fastest on both platforms for billing and slowest for deep technical questions, which tracks with the industry. The difference worth noting: Zapier’s answers solved the immediate question, while Make’s solved the question and the misunderstanding behind it. If your team self-serves from documentation, weight the docs; if they file tickets, weight the responses.
Mobile and On-the-Go Reality
Mobile matters more than reviews admit, because approvals and quick checks happen away from desks. Both tools work on phones; the difference is ambition — one treats mobile as a first-class surface for daily work, the other as a companion for viewing and light edits. Test your actual mobile pattern during the trial: it is the fastest way to feel the difference that spec sheets blur.
Why You Should Trust This Comparison
Both tools were tested with paid subscriptions bought by StackHK — no vendor trials, no sponsored placements. The same tasks ran in the same week, on the same accounts, scored against criteria written before the first prompt.
We publish what breaks as well as what wins, re-test head-to-heads every 60–90 days, and keep affiliate relationships out of scoring. Scores reflect our August 2026 re-test.