n8n vs Make: Which Workflow Automation Tool in 2026?

Quick Verdict

Two Different Models

Most "n8n vs Make" articles line up feature checkmarks and declare a winner. That is lazy, and in this case it would also be dishonest, because we cannot verify half of Make's numbers. So instead, look at the architectural fork in the road. These tools differ on deployment, billing, and how far they let you go beyond drag-and-drop.

n8n: Self-Hostable, Fair-Code, Code-Friendly

n8n (pronounced "n-eight-n", short for "nodemation") is a workflow automation platform with native AI, built on Node.js and TypeScript. Workflows are directed graphs of nodes, and n8n markets itself as "the flexibility of code with the speed of no-code." That tagline is doing real work: the Code Node runs custom JavaScript or Python anywhere in a workflow and supports npm packages. When the visual editor runs out of road, you write code instead of filing a feature request.

You can self-host n8n via Docker or npm, with the editor running at localhost:5678. Without a license key it runs as a free Community edition; a Business or Enterprise key unlocks the paid editions. For scale, queue mode adds worker processes and a broker. Self-hosting buys you maximum privacy and control, but it is not free in the sense that matters: it costs you server administration, scaling, and security expertise. n8n itself recommends Cloud for teams without that expertise, which is a refreshingly honest position for a vendor to take.

One nuance the marketing tends to blur: n8n is fair-code, not open source. It is licensed under the Sustainable Use License (SUL) plus an n8n Enterprise License, adopted in March 2022 to replace the earlier Apache-2.0 plus Commons Clause setup. The source is visible on GitHub, self-hostable, and extensible, but the SUL restricts use to internal business purposes, and advanced features still require a paid key. If you need a genuinely open-source automation tool with no usage restrictions, n8n does not qualify, and you should know that before you build your stack on it.

Make: Operation-Based Visual Cloud Automation

Make is an operation-based visual cloud automation platform. Its strength is a polished drag-and-drop builder aimed at no-code users who want to connect apps without touching infrastructure. Where n8n hands you a code escape hatch and a self-host option, Make's model is the cloud-only, visual-first end of the spectrum.

Here is where this comparison has to be transparent: we could not independently verify Make's current pricing, operation definitions, or plan structure. Make's pricing page did not load during research because it returned a security challenge. So this article will not quote Make prices, repeat numbers from memory, or pretend to a precision it does not have. Make's pricing, which you should confirm on Make's site, is operation-based, meaning individual module actions are metered rather than whole-workflow runs. For exact figures and the current definition of an "operation," go straight to make.com/pricing.

Side-by-Side Comparison

"Edge" indicators reflect a verifiable category strength, not overall superiority. "Verify" means we could not independently confirm Make's data; check make.com/pricing before deciding. n8n figures are vendor-reported and stamped verified 2026-06-09.

When n8n Wins

You Need to Self-Host

This is the cleanest win, because it is binary and verifiable. n8n can run on your own infrastructure via Docker or npm, with the editor at localhost:5678 and a free Community edition that needs no license key. If data residency, privacy, or air-gapped deployment is a hard requirement, n8n meets it natively. Make's grounded positioning is cloud-only, so for self-hosting requirements n8n is the answer unless Make's own documentation tells you otherwise.

Per-Execution Billing Fits High-Step Workflows

n8n counts one execution as a single run of your entire workflow, no matter how many steps that run touches or how much data it moves. For workflows with many steps per run, this billing shape is predictable: you are charged for the run, not for each action inside it. Per-operation billing, by contrast, meters individual module actions. Which is cheaper depends entirely on your workflow shape and volume, and on Make's current operation pricing, which you must confirm at make.com/pricing. The structural point stands regardless: n8n's unit of cost is the whole run.

You Want a Code Escape Hatch

The Code Node runs custom JavaScript or Python anywhere in a workflow and supports npm packages. This matters more than it sounds. Pure no-code tools force you to either contort a problem into the available modules or abandon the platform when you hit a wall. n8n lets you write the awkward 20% in code while keeping the visual 80% intact. For technical teams, that hybrid model is the whole pitch.

AI Agents and MCP Are on Your Roadmap

n8n is AI-native and built on LangChain. It provides an AI Agent node for goal-oriented, multi-step task completion (as opposed to plain text generation), supports RAG and multi-agent setups, and includes MCP support through MCP Client, MCP Server Trigger, and MCP Client Tool nodes, plus an instance-level MCP server. AI is available on both Cloud and self-hosted from v1.19.4 onward. If your automation roadmap runs through agents and the Model Context Protocol, this is native, not bolted on.

When Make Might Win

Honesty cuts both ways. There are real reasons a team would pick Make over n8n, and a skeptic who only lists one tool's strengths is just doing marketing in reverse. The catch: several of Make's advantages live in territory we could not independently verify, so treat the specifics as "confirm at make.com" rather than settled fact.

You Want Cloud-Only With Zero Infrastructure

Self-hosting is a feature for some teams and a burden for others. If you have no appetite to run servers, manage scaling, or own security patching, a cloud-only tool removes an entire category of work. Make's positioning is squarely cloud-first, and for a small team without infrastructure expertise that is a legitimate advantage over self-hosted n8n. n8n's own Cloud tier addresses this too, which is worth weighing.

The Visual Builder Is the Selling Point

Make is widely regarded for a polished drag-and-drop builder. If the people building your automations are non-engineers who value a refined visual experience over a code escape hatch, that polish has real value. n8n's node-graph editor is capable, but it is built for technical users first. Match the tool to who will actually maintain the workflows.

Pure No-Code Over Fair-Code

n8n's fair-code licensing carries restrictions: internal-business-use limits under the SUL, and paid keys for advanced features. A proprietary SaaS like Make trades source visibility for a simpler "just pay and use it" contract. If license nuance is a headache you do not want, and you have confirmed Make's pricing fits your volume, the simpler commercial model can be the pragmatic choice. Verify the current terms and prices at make.com/pricing before committing.

Billing Models, Compared Honestly

This is the section where most comparisons fabricate. Here is the rule we are holding to: every n8n number below is vendor-reported from n8n's pricing page and stamped verified 2026-06-09, and we state zero specific Make prices because we could not load Make's pricing page.

n8n's Pricing (vendor-reported, verified 2026-06-09)

n8n bills per execution. Its tiers, billed annually (annual billing saves 17%):

• Community Edition: free, self-hosted from GitHub.
• Starter, $20/mo: 2,500 executions, unlimited steps, 5 concurrent, 1 shared project, unlimited users, 50 AI Workflow Builder credits, hosted by n8n.
• Pro, $50/mo: 10,000 executions, 20 concurrent, 3 projects, 150 AI credits, 7-day insights, admin roles, global variables.
• Business, $800/mo: self-hosted, for organizations under 100 employees: 40,000 executions, 6 projects, SSO/SAML/LDAP, 30-day insights, Git version control, environments. Overage runs about EUR 4,000 per 300,000-execution bucket. A Start-up plan (under 20 employees) is 50% off Business.
• Enterprise, custom: hosted or self-hosted, unlimited projects, 200+ concurrent, 365-day insights, 1,000 AI credits on cloud, external secret store, log streaming, dedicated SLA.

Every plan includes unlimited users and workflows and access to every integration. Pricing moves, so confirm the current numbers at n8n.io/pricing.

Make's Pricing (not independently verified)

Make's pricing, which you should confirm on Make's site, is operation-based rather than execution-based. We did not reproduce Make's tiers, prices, or operation limits here because the source did not load during research and we will not invent numbers. To compare total cost of ownership against the n8n figures above, pull Make's current plan structure directly from make.com/pricing and map your expected operation count against n8n's expected execution count. Those two units are not interchangeable, so a like-for-like comparison requires modeling your own workflow volume.

Honest Limitations

No tool comparison is complete without naming what each side does poorly, or what we cannot fairly assess. Here is the unvarnished version.

n8n Limitations

• Not open source: fair-code under the Sustainable Use License restricts use to internal business purposes, and advanced features need a paid key. If you need true open source, n8n does not qualify.
• Self-hosting has real overhead: the Community edition is free in license terms but requires server administration, scaling, and security expertise. n8n itself recommends Cloud for non-experts.
• Technical-first UX: the node-graph editor and code escape hatch suit engineers; non-technical teams may find the learning curve steeper than a pure drag-and-drop tool.
• Vendor-reported counts: integration (350+ to 500+ across sources) and template (800+ to 900+) figures come from n8n and carry a spread. Treat them as approximate.

What We Cannot Fairly Assess About Make

• Pricing: Make's pricing page did not load during research, so we cannot verify current tiers, operation limits, or free-tier caps. Confirm at make.com/pricing.
• Operation definition: because the source was unavailable, we cannot state precisely what Make counts as one operation. This is central to any cost comparison; get it from Make directly.
• Feature parity: claims about Make's AI scope, integration count, or code options here are deliberately hedged. Verify each against Make's own documentation rather than trusting a third-party summary, including this one.
• The asymmetry is the point: we can fully ground n8n and only partially ground Make. We would rather flag that openly than paper over it with confident-sounding numbers.

Real-World Decision Framework

Forget the checkmark grid. Here is how teams actually make this call.

Start with deployment. If you must self-host (data residency, privacy, air-gap), n8n is the verifiable answer; Make's grounded positioning is cloud-only. If self-hosting is explicitly not wanted, both vendors offer cloud, so the decision moves to other dimensions.

Match the billing unit to your workflow shape. Workflows with many steps per run tend to favor n8n's per-execution model, where one run is one charge. Lighter, high-frequency single-action automations may favor a per-operation model, depending on Make's current rates. You cannot decide this on principle: model your expected execution count against Make's operation count using the live numbers at make.com/pricing.

Weigh code flexibility. If you know you will eventually need custom logic, n8n's Code Node (JS or Python, npm packages) is a decisive advantage over a pure visual tool. If your automations are genuinely simple connector-and-filter flows, that advantage is theoretical and a polished visual builder may serve you better.

Account for who maintains it. Engineers tend to be productive in n8n quickly. Non-technical operators often prefer a refined drag-and-drop experience. Pick for the person who owns the workflows after launch, not the person who builds the first one.

Verify before you commit. Whatever you lean toward, pull both vendors' current pricing pages, n8n.io/pricing and make.com/pricing, and run your own volume through them. We verified n8n on 2026-06-09; we could not verify Make at all. Your budget should rest on numbers you confirmed yourself, not on any article's summary.

Tool Picker

Frequently Asked Questions

Is n8n cheaper than Make?

We cannot answer that with confidence, and neither should anyone who has not modeled your specific workflow volume. n8n bills per execution (one full workflow run) with paid tiers from $20/mo (verified 2026-06-09), plus a free self-hosted Community edition. Make bills per operation, but we could not verify its current prices because the pricing page did not load during research. To compare, map your expected execution count against Make's operation count using the live numbers at make.com/pricing. Those units are not interchangeable.

Can n8n do everything Make can?

On the dimensions we can verify, n8n adds capabilities Make's grounded positioning does not: self-hosting, a JavaScript/Python Code Node with npm packages, and AI-native features built on LangChain including MCP support. Whether Make has features n8n lacks is something we cannot fairly assess here, because we could not access Make's documentation during research. Check Make's own site for its current feature set rather than trusting a third-party list.

Is n8n really free?

The self-hosted Community edition has no license fee, but "free" understates the cost. You take on server administration, scaling, and security work, which n8n itself acknowledges by recommending Cloud for teams without that expertise. The hosted plans (Starter $20/mo and up, verified 2026-06-09) trade that operational burden for a subscription. Free in dollars is not free in effort.

Is n8n open source?

Not strictly. n8n is fair-code under the Sustainable Use License plus an Enterprise License, adopted March 2022. The source is on GitHub, self-hostable, and extensible, but the SUL restricts use to internal business purposes and advanced features need a paid key. If you specifically need an unrestricted open-source license, n8n does not meet that bar.

Bottom Line

On the dimensions we can fully ground, n8n is the more flexible platform. It is self-hostable, it bills per whole-workflow execution rather than per operation, it runs custom JavaScript or Python through its Code Node, and it is AI-native, built on LangChain with AI Agent and MCP support. Those are verifiable facts from n8n's own documentation, stamped 2026-06-09. For technical teams that want control and predictable per-run costs, that is a strong case.

Make's case rests on a polished, cloud-only visual builder for no-code teams, and that is a real and legitimate strength. But here is the skeptic's honesty: we could not verify Make's pricing, operation definitions, or feature scope, because Make's pricing page would not load during research. We refuse to invent numbers to fill that gap. So the part of this comparison that touches Make's cost is, deliberately, a pointer rather than a claim.

The pragmatic move: if you need self-hosting, code access, or AI agents, lean n8n. If you want pure cloud no-code with a refined builder, evaluate Make, but confirm its current pricing and operation limits at make.com/pricing and model your own volume before you sign anything. A comparison is only useful if it is honest about what it knows. This one knows n8n cold and tells you exactly where to verify the rest.