Zapier vs Make

Quick verdict

Zapier is the default “connect app A to app B” platform: linear Zaps, the widest native connector catalog (~9,000+ apps), and a product surface that now includes Tables, Forms, Agents, MCP, and an SDK under one shared task pool. Make (formerly Integromat) is a visual scenario builder: modules on a canvas with routers, iterators, aggregators, and first-class error handlers—usually cheaper per unit of automation volume, with ~3,000+ apps and a steeper learning curve.

Pick Zapier if non-technical teammates must ship reliable two-app handoffs this week, you need a rare/premium connector, or you want governed AI agents and MCP on the same auth layer your ops already trusts. Pick Make if workflows branch, loop, transform arrays, and run at volume—and you care about the monthly bill more than “set it in five minutes.”

Side-by-side

What each product is in 2026

Zapier started as the simplest way to wire SaaS apps without code and still is. A Zap is a trigger plus one or more actions. Free accounts stay on two-step Zaps; paid plans unlock multi-step, premium apps, webhooks, and faster polling. Over the last product cycle Zapier stopped being “only Zaps”: Tables store structured records, Forms collect inputs, Agents act as AI teammates with separate activity quotas, Chatbots are a distinct product tier, and MCP/SDK let external models call Zapier actions from the same shared task pool. The pitch is one platform: auth once, orchestrate everywhere.

Make is the visual automation platform that grew out of Integromat. You drop modules on a canvas, map fields with formulas, fan out with routers, process arrays with iterators/aggregators, and attach error handlers (break, resume, commit, rollback patterns) instead of hoping a linear path fails gracefully. Make lists 3,000+ standard apps and leans hard on HTTP modules when a native connector is thin—a pattern independent comparisons still call out as a long-tail advantage. Product direction in 2025–2026 adds AI Agents, Maia (conversational building), Make Grid (dependency/architecture view), and MCP server/client so scenarios become tools for Claude/GPT/Cursor-style agents.

Neither is “RPA for desktops.” Both are cloud iPaaS for SaaS APIs. If you need self-host and full code ownership, community discussions almost always drag n8n into the room as a third option—not because Zapier/Make are fake products, but because ops cost and data residency eventually dominate.

Pricing and real cost (TCO)

Sticker prices mislead. You must compare billing units, not “$19 vs $12.”

Zapier pricing (as of mid‑2026 public pages)

• Free: $0; 100 tasks/month; two-step Zaps; 15‑minute polling; platform access to Zaps/Tables/Forms at free limits.
• Professional: from about $19.99/month when billed annually (higher monthly); multi-step Zaps, unlimited premium apps, webhooks; polling down to 2 minutes; higher Tables/Forms limits.
• Team: from about $69/month annual; 25 users, shared Zaps/folders/connections, SAML SSO, priority support; 1‑minute polling.
• Enterprise: custom; unlimited users, advanced admin/app controls, SCIM, observability, annual task limits, optional TAM, deeper support.

What counts as a task: successful actions generally count; triggers do not; many built-ins (Filter, Paths, Formatter, Delay, Looping, Sub-Zap, Digest, Storage, Tables/Forms steps) are free of task cost. AI by Zapier introduced model-based multipliers (documented as Standard 1× / Advanced 3× / Premium 5× starting mid‑June 2026). MCP tool calls are commonly billed as multiple tasks (public guides often cite 2 tasks per call). Agents and Chatbots have their own Free/Pro/Enterprise (or Advanced) activity plans on top of the main task pool—budget them separately.

Task tiers scale from 100/mo up through millions; annual billing saves ~33% vs monthly on public messaging. Hit the cap with pay-per-task on and runs continue at a higher rate; turn it off and Zaps pause until the next period.

Make pricing (as of mid‑2026 public + independent summaries)

• Free: 1,000 credits/month; 2 active scenarios; visual builder; ~15‑minute minimum schedule interval.
• Core: about $12/month billed annually for 10,000 credits (some 2026 write-ups quote ~$9–$10.59 depending on billing period and pack—use the live slider on Make’s pricing page). Unlimited active scenarios, API access, 1‑minute schedules.
• Pro: about $21/month annual at the same base credit pack; priority execution, custom variables, full-text execution log search.
• Teams: about $38/month annual base; collaboration, roles, shared templates.
• Enterprise: custom credits, enterprise apps, advanced security/support.

In 2025 Make rebranded the billing unit from “operations” to credits; plan economics stayed continuous but AI modules often use dynamic credits (tokens, runtime, page counts). Default non-AI modules still map roughly 1 operation ≈ 1 credit; code modules can bill by runtime; built-in AI can charge by tokens and model tier. Credit packs scale (20k, 40k, 80k, …) independently of feature tier—so TCO is “feature plan + volume pack,” not just Core vs Pro.

TCO notes builders actually feel

• High fan-out / array jobs: Make iterators process each item as credit cost; naive sheet syncs explode bills. Zapier Looping also multiplies tasks—but free Filters often let you short-circuit earlier.
• Polling waste: Make still spends credits when modules run on schedule even if nothing new arrives (depends on scenario design). Zapier’s “poll free, action bills” model is friendlier for sparse triggers.
• AI tax: Reddit threads report Zapier bills jumping when AI steps land (e.g. $30 → $160/mo stories). Make AI token rates can also surprise—check credit tags on modules before production.
• People cost: Zapier’s lower training load is a real TCO win when the marketer owns the Zap. Make’s Academy investment pays off when one automation specialist owns dozens of complex scenarios.
• Migration tax: Switching platforms rewrites every mapping, error path, and secret. Community threads treat “Zapier → Make” as weeks of work, not a weekend if you have production criticality.

Features that actually diverge

• Builder UX: Zapier is a vertical checklist of steps. Make is a 2D canvas—better for seeing branches, worse for “I just want Gmail → Slack.”
• Error handling: Make’s dedicated error routes and directive modules are a recurring praise point for production reliability. Zapier has error notifications, Autoreplay, and Paths, but less graph-native recovery.
• App coverage: Zapier’s 9,000+ directory still wins for obscure SaaS. Make’s 3,000+ plus HTTP covers mainstream stacks; long-tail gaps are the #1 pre-migration check.
• HTTP / custom APIs: Both support webhooks and custom requests; Make users often praise deeper multi-module HTTP patterns for incomplete native apps.
• Data plane: Zapier Tables/Forms make lightweight internal tools without another Airtable. Make stays scenario-centric with data stores and Grid for topology.
• AI orchestration: Both ship agents + MCP. Zapier emphasizes one task pool across Zaps/MCP/SDK; Make emphasizes scenarios-as-tools and Grid for sprawl control.
• Versioning & collaboration: Team/Enterprise features matter once multiple builders share folders, connections, and SSO. Solo freelancers rarely need either vendor’s top tier.

Community sentiment (Reddit / HN)

Across r/automation, r/zapier, r/Integromat, r/nocode, and HN, the pattern is stable:

• Praise for Zapier: ships fast, non-engineers can maintain it, “connects to almost everything,” still the path of least resistance for simple GTM handoffs.
• Complaints about Zapier: task pricing at scale, AI multipliers, overages felt as “cash grab,” quiet 2am failures with weak observability, multi-step cost surprise.
• Praise for Make: cheaper for complex multi-step volume, visual control, routers/iterators for real data pipelines, more “capable” once learned.
• Complaints about Make: learning curve (Google Sheets mapping pain, “is Make worse or am I missing something?”), credit math when iterators/polls misconfigured, fewer niche apps than Zapier.
• Third option gravity: threads named “tired of Zapier” and HN posts about open-source Zapier alternatives routinely land on n8n self-host for cost, logs, and data control—not because Make failed, but because some teams outgrow pure SaaS iPaaS economics.

“Zapier is great when the person who needs the automation can also understand and fix it. Make is better when the workflow needs real branching.” — common r/automation framing

Independent reviews land in the same place: Zapier for accessibility and catalog; Make for visual power and mid-market cost efficiency; n8n when self-host or extreme volume wins the TCO math.

When Zapier wins

• Your stack includes long-tail SaaS only Zapier lists natively.
• The owner of the workflow is ops/marketing, not an automation engineer.
• You want Tables/Forms/Agents/MCP without bolting on extra tools day one.
• Sparse triggers where “poll free, action bills” beats credit-per-module design.
• Procurement needs a mature Trust Center (SOC 2 Type II/SOC 3) and Enterprise admin path.
• Speed-to-first-value matters more than unit economics for the next 90 days.

When Make wins

• Workflows are multi-branch pipelines with transforms, not three-step handoffs.
• Monthly volume would push Zapier into painful task tiers while Make credit packs stay sane.
• You need graph-native error handling and resume/break semantics in production.
• Your team will invest in Make Academy (or hire a Make specialist) rather than fight the canvas for a week.
• You want scenarios exposed as MCP tools inside a visual ops map (Grid).
• HTTP/custom API glue is half the job—Make’s module style fits that muscle memory.

Risks and failure modes

• Bill shock (both): Zapier AI multipliers and Make iterators/token AI are the two classic “why is the invoice 4×?” paths.
• Silent partial failure: A mid-Zap or mid-scenario module fails; downstream systems look “updated” but aren’t. Make’s error routes help if you build them; Zapier needs explicit error Zaps/notifications.
• Connector drift: Vendor APIs change; community posts about 2am breaks are usually auth/scope/API versioning, not “the platform died.”
• Vendor lock-in: Rewriting 80 production scenarios is a project. Dual-run during migration is the adult pattern.
• Security surface: Both hold OAuth tokens to your CRM, mail, and finance tools. SSO, least-privilege connections, and enterprise app controls are not optional once revenue systems are wired.
• Free-tier false confidence: Zapier’s 100 tasks and Make’s 2 scenarios are demos, not production plans.
• Overfitting YouTube templates: r/Integromat’s “hard truths” thread: context beats copy-paste templates when edge cases hit.

Recommendation by profile

FAQ

Is Make cheaper than Zapier?
Often yes for complex multi-step volume at mid scale—but only after you model credits (including iterators and AI) against Zapier tasks (including free built-ins and AI multipliers). Entry stickers (~$12 Core vs ~$19.99 Pro annual) are not the whole story.

Which has more integrations?
Zapier lists 9,000+ apps. Make lists 3,000+. Both can call arbitrary HTTP APIs; native coverage still wins for speed and support.

Can non-technical people use Make?
Yes for simple scenarios; production branching/array mapping usually needs training or a specialist. Zapier remains easier for first automations.

Do triggers cost money?
On Zapier, successful triggers generally do not consume tasks; actions do. On Make, trigger modules that run typically consume credits like other modules—design schedules carefully.

What about AI features in 2026?
Both platforms shipped agents, toolkits, and MCP. Zapier bills AI/MCP into the shared task model (with multipliers). Make bills many AI features via dynamic credits/tokens. Read the current rate docs before enabling AI in high-volume paths.

Is Integromat the same as Make?
Yes—Make is the rebrand of Integromat. Older reviews and Capterra listings still use the Integromat name.

Should I just use n8n instead?
If you want self-host, full code nodes, and infra ownership, n8n is the common next step in community threads. If you want managed SaaS with max connectors or a polished canvas, stay on Zapier or Make.

How hard is migration either way?
Expect manual rebuilds: field maps, error paths, and webhooks do not export cleanly as 1:1 projects. Dual-run critical flows.

Sources

Research pack: research_cache/zapier-vs-make_sources.json — 140 unique URLs spanning official product/pricing/docs for both tools, security/trust pages, ≥8 Reddit threads, HN discussions, independent reviews/blogs, and video walkthroughs. Citations in this article map to those source ids as [n].

Bottom line

Choose Zapier when coverage, speed, and non-technical ownership dominate—and accept task economics as the price of that convenience. Choose Make when the automation is the product: branching logic, volume, and a builder who will own the canvas—and treat credits like a real engineering budget. If neither unit model fits, evaluate n8n before you sign an annual enterprise commitment you will resent in six months.

Default path for most teams in 2026: prototype on Zapier Free/Pro for the long-tail connectors you cannot replace; put heavy multi-step pipelines on Make; keep a written inventory of which system owns which workflow so you do not end up with two sources of truth.