n8n vs Make vs Zapier: Which Automation Platform Should You Pick?

What is the difference between n8n, Make, and Zapier?

All three are workflow automation platforms: visual builders where you connect a trigger (a new lead, a paid invoice, a filled form) to a chain of actions across your other tools (send an email, update the CRM, post to Slack, create a task). Functionally, they overlap heavily. For a basic "when X happens, do Y" automation, any of the three will do the job.

The real differences sit underneath the builder, in three places. First, how the bill behaves: Zapier charges per task, Make charges per operation, and n8n charges per workflow execution on its Cloud plans, with a self-hosted option that has no usage fees at all. Those sound like accounting details, but at volume they produce wildly different invoices for the same automation. Second, who can run it where: Zapier and Make are cloud-only, while n8n can run on your own server, which means full data ownership. Third, who the tool is built for: Zapier is optimized for non-technical users, n8n is optimized for people comfortable with APIs and a little code, and Make sits between them.

Quick comparison: n8n vs Make vs Zapier

Pricing models: per task, per operation, per execution

This is the single most misunderstood part of the comparison, and it is where most businesses get surprised. The three platforms do not just charge different amounts. They count different things.

Zapier: per task

A task is one action step performed. If your Zap has a trigger and five actions, every run consumes five tasks. Zapier's Starter plan has been around $29.99 per month for 2,000 tasks, with a Professional tier around $73.50 per month, and heavy usage climbing past $599 per month at roughly 50,000 tasks. The consequence: the more useful an automation is, meaning the more steps it performs, the faster it burns your allowance. A rich 12-step workflow that runs 50 times a day consumes 600 tasks daily. Per-task billing is fine for light, simple automations and punishing for exactly the deep workflows that create the most value.

Make: per operation

Make counts operations: each time a module in a scenario processes data. Structurally it is similar to Zapier's model, more steps and more records mean more billable units, but Make's per-unit cost is lower and its entry plans have started around $9 per month, which is why it is the default choice for cost-conscious builders. Make also handles branching, iteration over lists, and data transformation more gracefully than Zapier, so you often need fewer scenarios to do the same work. The bill still scales with complexity and volume, just more slowly.

n8n: per execution, or free self-hosted

n8n Cloud counts one complete workflow run as one execution, regardless of how many nodes it touches. A 30-step workflow costs the same single execution as a 3-step one. Published Starter pricing has been in the roughly $20 to $25 per month range billed annually. That alone flips the economics for complex automations. Then there is the option the other two do not have at all: the self-hosted Community Edition is free of license cost under n8n's Sustainable Use License, so a business running n8n on its own server pays for the server and nothing else, no matter how many workflows run or how many steps they contain. We cover that decision in depth in n8n Cloud vs Self-Hosted.

Self-hosting and data ownership

Zapier and Make are SaaS-only. Every credential you connect and every record that flows through an automation passes through the vendor's cloud. For most businesses that is acceptable. For businesses handling sensitive customer data, healthcare, legal, financial services, or anyone with contractual data-residency obligations, it can be a dealbreaker, and there is no self-hosted Zapier or Make to fall back on.

n8n is the only one of the three you can run on infrastructure you own. Self-hosted, every payload, credential, and execution log stays inside your environment. That has three practical consequences:

• Compliance stops being a platform question. If the data never leaves your server, you are not auditing a third party's handling of it for every workflow you build.
• No usage meter. Self-hosted executions cost nothing beyond the server, so you can run aggressive schedules, high-frequency polling, and heavy internal automations that would be irresponsible on metered billing.
• You own the asset. The workflows, the instance, the data: all of it is yours. If the vendor changes pricing or terms, your automations keep running.

The honest counterweight: self-hosting is real operational work, updates, backups, SSL, monitoring. A middle path exists where an agency runs self-hosted n8n on infrastructure the client controls, which is how we typically deploy it. The full trade-off analysis is in our n8n Cloud vs Self-Hosted comparison.

AI agents: where the three platforms actually differ now

In 2026 this is the fastest-moving part of the comparison. All three vendors ship AI features, but they are not the same kind of thing.

Zapier has invested in making AI accessible to non-technical users: AI-assisted Zap building, AI steps inside workflows, and agent-style products aimed at letting an office manager describe what they want in plain English. It is genuinely useful for simple cases, drafting replies, summarizing, routing, and it inherits Zapier's core virtue: it just works, quickly.

Make has added AI assistants and AI modules that slot into scenarios, letting you call language models as steps in a visual flow. It works well when AI is one ingredient in a larger automation rather than the centerpiece.

n8n has gone furthest. Its native AI agent nodes let you build agents with memory, tool calling, and structured outputs, where the agent's "tools" can be any other node in your workflow: query the CRM, check a calendar, draft and send an email, write back to a database. You bring your own model API keys, choose your own models, and keep the whole loop inside one workflow, on infrastructure you can own. There is also a cost dimension people miss: agent workflows are inherently step-heavy, an agent may loop through many tool calls to finish one job. Per-task and per-operation billing meters every one of those calls. Per-execution billing, or self-hosted n8n, does not care. For a deeper look at what agents can do for a small business, see AI Agents for Small Business.

Developer-friendliness vs no-code ease

The three platforms sit on a spectrum, and being honest about where your team sits on the same spectrum matters more than any feature list.

Zapier is the no-code end. The builder is linear and forgiving, the app library is the largest of the three, and most integrations are polished enough that a non-technical operator can wire a working automation in an afternoon. The ceiling is real, though: complex branching, looping over data sets, and custom API work range from awkward to impossible, and code steps are limited.

Make is the middle. Its canvas-style scenario builder is more powerful than Zapier's: routers, iterators, aggregators, and data stores let you express genuinely complex logic visually. The cost is a steeper learning curve, especially around how Make handles bundles of data and error states. A determined non-developer can get very good at Make; most casual users plateau earlier.

n8n is the developer-friendly end. It is still a visual builder, and simple workflows are approachable, but its advantages compound with technical skill: full JavaScript and Python code nodes, expressions everywhere, a generic HTTP node that talks to any API whether or not a prebuilt integration exists, webhooks, and self-hosting. Where Zapier's catalog ends, Zapier ends; where n8n's catalog ends, you write one HTTP request and keep going. That is why agencies and technical teams standardize on it, and why a non-technical team should only adopt it with a partner who builds and maintains the workflows.

When each platform wins, by team profile

Five questions to answer before you commit

1. How many steps do your real workflows have? Under 5 steps, any platform works. Past 10, per-task and per-operation billing start taxing every improvement you make, and n8n's execution model pulls ahead.
2. What is your realistic monthly run volume? Multiply runs by steps. If the number makes you wince on metered pricing, you already know the answer.
3. Does your data have to stay in your environment? If yes, n8n self-hosted is the only real option among the three.
4. Who will build and maintain this? Non-technical and staying that way: Zapier or Make. Technical capacity in-house or an agency partner: n8n's ceiling is dramatically higher.
5. Are AI agents part of the plan? If agents doing real multi-step work across your systems are on the roadmap, n8n's native agent tooling and non-metered execution model are built for exactly that.

The part nobody prices in: someone has to build the workflows

Here is the truth underneath every platform comparison, and it applies whichever logo you pick. Zapier, Make, and n8n are engines. An engine does nothing until someone designs the workflows that run on it: maps which processes are worth automating and in what order, connects the automation to your actual CRM, accounting, scheduling, and phone systems, handles the malformed record and the API that times out, and keeps everything working as your tools change. That design-and-build layer, not the platform choice, is what decides whether automation pays for itself or quietly becomes shelf-ware.

That layer is what Aplos AI builds. We design and build automation for service businesses on n8n, because it is the platform where the client ends up owning the most: no per-task fees eating the ROI as workflows grow, self-hosting when data control matters, and full code access when the visual builder runs out. A single working automation is a fixed $2,000 to $5,000, one-time. No hourly billing, no retainer, no monthly fees to us. You own everything we build, the only recurring costs are tool subscriptions paid directly to vendors (typically $20 to $150 per month), and every build includes a 30-day window where we fix anything that is not working. If you want to see how an n8n-focused build partner works, that is covered on our n8n agency page.