Zapier vs Make vs n8n: Which Wins in 2026?

Updated 2026-10-06 · 1352 words

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Quick take: if you want the largest integration catalog and the least setup friction, Zapier is still the easiest on-ramp, but you'll pay for that convenience once volume climbs. Make gives you comparable visual power for meaningfully less money if you're willing to spend an extra afternoon learning its scenario builder. n8n is the pick if you want to self-host for free, need full code steps, or plan to build AI-agent workflows. We rebuilt the same three flows on all three platforms to see where each one actually held up.

We tested a lead-routing flow (form submission to CRM plus Slack alert), a scheduled weekly report generator pulling from a spreadsheet, and a webhook-triggered approval chain. All three ran on the same source data so the comparison stayed apples to apples.

What each platform actually is

Zapier is the original no-code automation SaaS: trigger an app event, chain "actions" after it. It has the largest integration catalog in the industry, connecting to well over 8,000 apps, and its trigger-action model needs no technical background to use. Its newer Zapier Agents product layers a goal-oriented AI assistant on top, one you brief in plain English rather than wire step by step, reaching that same app catalog through Zapier MCP.

Make (rebranded from Integromat in 2022) uses a visual, node-based canvas instead of a linear list of steps, with an integration count in the low thousands rather than Zapier's. That canvas supports branching, looping, and error routing that Zapier's simpler model handles more awkwardly, and Make bills by individual "operations" rather than per completed task. Make also added Maia, a conversational builder that turns a plain-language description into a working scenario on that same canvas, and the AI Agents it can produce reason over multiple steps rather than executing a fixed sequence.

n8n is open-source and node-based like Make, but it's built to be self-hosted first. You can run it free on your own server (or use n8n's cloud plans if you'd rather not manage infrastructure), and it exposes full JavaScript and Python code steps alongside its visual canvas. That self-hosted path is also the only one of the three that keeps data entirely on infrastructure you control, which matters if GDPR data residency or HIPAA handling is a real requirement rather than a nice-to-have; see our GDPR-compliant Zapier alternatives and HIPAA-compliant Zapier alternatives guides if that's driving the decision. Its January 2026 n8n 2.0 release made that AI story concrete: native LangChain integration and more than 70 dedicated AI nodes, so agent workflows with chain-of-thought reasoning and tool-calling run as drag-and-drop nodes on the same canvas instead of custom code. It's also the furthest along on MCP (Model Context Protocol), the emerging standard for letting AI agents call external tools: n8n ships native MCP client and trigger nodes, while Zapier's equivalent (Zapier MCP) is newer and Make's is more limited.

Comparison table

Building the same workflow three times

The lead-routing flow (webhook in, lookup in the CRM, conditional Slack alert) took under ten minutes to wire in Zapier using its guided trigger-and-action builder, with zero expressions needed. The same flow in Make took closer to twenty minutes, mostly spent getting comfortable with its router module for the conditional branch, but the result was easier to read at a glance once built, since the whole logic sits visibly on one canvas. In n8n, the flow itself took about fifteen minutes, but we added a code node to reformat the Slack message payload exactly how we wanted it, something that would have required a paid "Code by Zapier" step or a workaround in Zapier's simpler model.

For the scheduled report generator, Make's operation-based billing became relevant fast: pulling and transforming fifty rows from a spreadsheet on a schedule burns one operation per row processed, which adds up over a month of daily runs. Zapier's per-task pricing counts the same run as far fewer billable tasks if you can consolidate steps, but its formatting options for the final output were noticeably more limited than Make's built-in tools.

Pricing reality check

Zapier's free plan covers basic single-step automations; its paid tiers scale with monthly task volume and unlock multi-step zaps, and costs climb quickly once a workflow fires dozens of times a day, since every action in every run counts as a task. Make's free tier is generous for light use, and its paid plans are priced by operations rather than completed workflows, which in our testing worked out cheaper for equivalent multi-step volume. n8n is free to self-host indefinitely; if you'd rather skip the server management, its cloud plans start around $24/month for a starter tier with capped active workflows and execution volume.

When NOT to use Zapier

Skip Zapier if you're running high-volume, multi-step workflows on a budget. Its per-task billing model punishes complexity, and teams that outgrow the free tier often see costs climb faster than they expected once a single workflow spans several apps and runs many times a day.

When NOT to use Make

Skip Make if your team needs the absolute simplest possible setup with zero learning curve, or if you specifically need an integration that only Zapier's larger app catalog covers. Make's canvas is more powerful, but it asks more of a first-time user than Zapier's guided trigger-action flow; our full Make review goes deeper on where that trade-off shows up in practice.

When NOT to use n8n

Skip n8n if you have no one on the team willing to own self-hosting (updates, backups, uptime) and you're not ready to pay for its cloud plan instead. Its expression syntax and code nodes are also genuinely more technical than either Zapier or Make, so a fully non-technical team will hit a steeper wall here.

Which should you pick?

Choose Zapier if you want the broadest app catalog and the fastest time to a working automation, and your volume is modest enough that per-task pricing stays reasonable. Choose Make if you want stronger visual branching logic at a lower cost for equivalent usage, and you can spend a little extra time learning the canvas. Choose n8n if you want to self-host for free, need custom code inside your workflows, or plan to build AI-agent automations that go beyond a single API call.

Read the pricing and integration details directly from the source before committing: Zapier, Make, and n8n all publish current plans on their sites.

If self-hosting is the deciding factor for you, our n8n vs Activepieces comparison and our roundup of self-hosted Zapier alternatives go deeper on the open-source side of this decision, and our full n8n review covers its AI-agent tooling and pricing in more depth than we can here. And if you're automating a specific process rather than shopping for a platform, our guide to automating lead follow-up with AI walks through a real build on one of these tools. None of these three are built for enterprise embedded-integration use cases the way a heavier iPaaS like Tray.io is; our roundup of Tray.io alternatives covers that end of the market and where it does and doesn't overlap with the platforms here. None of them are Microsoft's own tool either: if your team is comparing these against what's already bundled in a Microsoft 365 plan, our best Power Automate alternatives roundup covers that specific licensing trade-off.

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