Home  ›  Blog  ›  Automation
Automation

Zapier, Make, or n8n: Which Automation Platform Fits a Small Business?

Short answer

Choose Zapier for fast, simple workflows under five steps when nobody wants to maintain anything. Choose Make when workflows branch, loop, or run at volume, because it costs far less per action. Choose n8n when you have technical help, want to self-host, or run many steps, since it bills per workflow run rather than per step.

Key Takeaways
  • Zapier bills per task and Make bills per operation, so each added step raises your bill every time the workflow runs, while n8n bills one execution no matter how many steps are inside.
  • Put your filter immediately after the trigger, because on per-step platforms you pay for records that run and then get filtered out.
  • As of March 2026, Zapier paid plans start around $20 a month billed annually, Make around $12, and n8n cloud around 20 euros, with a free self-hosted n8n option.
  • A ten-step workflow that costs a mid-tier Zapier plan often fits inside Make's entry plan and inside n8n's smallest cloud tier.
  • n8n's community edition ships under the Sustainable Use License, which allows internal business use and modification but not reselling it.
  • Write the process down before you automate it, because automating an unclear process just produces a fast, reliable version of the confusion.

Zapier, Make, or n8n: which automation platform fits a small business? Pick Zapier if you want the fastest path from idea to working automation and you have five to ten simple workflows. Pick Make if your workflows have branches, loops, and high volume, because it costs far less per action. Pick n8n if you have technical help available, want to self-host, or run workflows with many steps, because it charges by workflow run instead of by step.

That last sentence is the whole article, really. The three platforms do broadly the same job. What separates them is how they count, and how they count changes your bill by a factor of five or more on the exact same workflow.

What Is the Actual Difference Between Zapier, Make, and n8n?

All three are workflow automation platforms, meaning software that watches for a trigger (a form submission, a new email, a paid invoice) and then runs a series of actions in other apps without a person clicking anything. The differences are in interface, app coverage, pricing model, and how much technical comfort they assume.

Zapier

The most approachable of the three and the one with the widest app catalog. Automations are called Zaps and read as a vertical list of steps. If the tool you use is niche (a salon booking system, a marine service platform, a regional field-service app), Zapier is the most likely to already support it. It is also the most expensive per action by a wide margin.

Make

A visual canvas where each app is a module and you draw the connections between them. Branching, filtering, iterating over a list, and error handling are all easier to see and to build than in Zapier. There is a real learning curve, roughly an afternoon rather than ten minutes, and the payoff is that complex workflows cost a fraction of what they cost on Zapier.

n8n

The technical one. Also node-based, with the ability to drop in a block of JavaScript when no built-in node does what you want, and it can be self-hosted on your own server. Its community edition is free and lives on GitHub. It expects more comfort with data structures than the other two, but it is the only one of the three where you can run the whole thing yourself.

For context on why this matters at all: McKinsey's State of AI global survey, fielded across 105 nations in mid-2025, found 88 percent of organizations regularly use AI in at least one function, and Intuit QuickBooks' April 2025 survey of more than 2,200 US businesses with up to 100 employees found 68 percent use AI regularly. Nearly all of that turns into value only when the AI is wired into a workflow that runs without you. The platform is the wiring.

How Does Each Platform Charge, and Why Does That Change Everything?

Zapier charges per task, where a task is roughly one successful action step. Make charges per operation, now called credits, where an operation is roughly one module action. n8n charges per workflow execution, meaning one full run of a workflow no matter how many steps are inside it. That single difference drives almost every cost surprise people report.

Put plainly: on Zapier and Make, adding a step to your workflow increases your bill every time it runs. On n8n, it does not. If your workflows are two or three steps, the difference barely matters. If they are ten steps, it is enormous.

Approximate pricing as of March 2026, check current pricing:

  • Zapier: a free tier with 100 tasks a month; the Professional plan starts around $20 a month billed annually (about $30 billed monthly) at the 750-task tier and scales up by volume; Team starts around $69 a month billed annually at 2,000 tasks. Annual billing runs roughly a third cheaper than monthly.
  • Make: a free tier with 1,000 credits a month; paid tiers start around $12 a month for Core, about $21 for Pro, and about $38 for Teams, with each paid plan starting at 10,000 credits a month. Annual billing saves around 15 percent.
  • n8n: cloud plans start around 20 euros a month billed annually for 2,500 workflow executions, with Pro around 50 euros for 10,000. The self-hosted community edition is free.
The filter trap: On per-step platforms, steps that run and then get filtered out still count. If you trigger on every new row in a spreadsheet and filter down to the 5 percent you care about on step four, you are paying for the 95 percent you threw away. Put your filter immediately after the trigger, before anything else, and use each app's native trigger conditions where they exist. We have cut client automation bills by more than half doing nothing else.

What Does One Real Workflow Cost on Each Platform?

Take a common small business workflow and run the arithmetic. A web form submission creates a contact in the CRM, sends the customer a text, sends the owner an email, adds a row to a tracking sheet, and posts a note to the team chat. That is one trigger plus five actions, and say 300 leads a month.

  1. Zapier: the trigger is not billed, but each of the five actions is a task. Five tasks times 300 leads is 1,500 tasks a month, which puts you on a mid Professional tier rather than the entry one.
  2. Make: the trigger plus five modules is roughly six operations per run. Six times 300 is about 1,800 credits, which sits comfortably inside the 10,000 credits included on the entry Core plan.
  3. n8n: the entire run counts as one execution regardless of how many nodes it contains. That is 300 executions a month, well inside the entry cloud plan's 2,500.

Now double the workflow to ten actions, which is what happens the moment you add AI drafting, a lookup, a condition, and a follow-up. Zapier's bill roughly doubles. Make's roughly doubles but from a much smaller base. n8n's does not change at all. That is the mechanic to hold in your head.

None of this counts AI usage. If a step calls a language model, you pay the AI provider separately for that call, either through your automation platform's built-in AI credits or through your own API key. Budget for it as its own line, and use the ROI approach in our post on measuring the return on AI and automation so you know whether the workflow earns its bill.

Which One Should I Pick?

Match the platform to your workflow complexity and your appetite for maintenance, not to whichever one a video told you was best. Here are the rules we use.

  • Choose Zapier if this is your first automation, your workflows are under five steps, your volume is under a few thousand actions a month, and nobody on your team wants to think about this again after it is built. The premium buys simplicity, and simplicity is worth real money when the owner is the IT department.
  • Choose Make if you have more than a handful of workflows, they involve conditions and branches, your volume is in the thousands of actions a month, or the Zapier quote made you flinch. It is the best value for most established small businesses, and the visual canvas makes it far easier to see what a workflow is actually doing when it breaks.
  • Choose n8n if you have a developer or technical partner, you want to self-host for data-control reasons, or your workflows have a lot of steps. It is also the right pick when you want to run AI steps against your own API keys with tight control over what gets sent where.
  • Choose none of them yet if you do not know what your process actually is. Automating a process you have not written down produces a fast, reliable version of a bad process. Our guide on where to start with automation covers that groundwork.

One more practical filter: check that your specific apps are supported before you commit. All three cover the common tools, but coverage of niche industry software varies, and a missing connector turns a two-hour build into a two-week project.

What Does This Look Like for a Lake Geneva Business?

Picture a landscaping and snow removal company in Walworth with an owner, an estimator, and four crews. Spring brings roughly 300 quote requests a month through the website form, plus calls. The office was retyping every form submission into the CRM by hand.

They built it on Zapier first, because it took ninety minutes and worked. The workflow: form submission, create CRM contact, send the customer a text confirming receipt, email the estimator, add a row to the scheduling sheet, and post to the team chat. In March that ran about 1,500 tasks. Fine.

Then they added the useful parts: an AI step to classify the request as mowing, hardscape, or snow; a lookup to see whether the address was already a customer; a branch that routed hardscape to the owner and mowing to the estimator; and a three-message follow-up sequence for quotes that had not been answered. Now the workflow was eleven steps, and in peak season the task count crossed 3,300 a month. The Zapier bill went from comfortable to irritating.

They rebuilt it in Make over two evenings. Same workflow, roughly twelve operations per run, about 3,600 credits in peak months, which still fit inside the Core plan's 10,000 included credits. The migration cost them about six hours and cut the platform bill by roughly two thirds. The AI calls stayed a separate line item, because those are billed by the AI provider regardless of platform.

What did not change: they still had to write down what the process was. The single most valuable hour in that whole project was the one the owner spent on a whiteboard deciding what happens to a quote that gets no answer in three weeks. The software just executed the decision.

Should I Self-Host n8n to Save Money?

Only if someone on your team is genuinely comfortable running a server, or you already pay somebody who is. The software is free; the maintenance is not, and a broken automation nobody can fix is more expensive than a subscription.

What you should know before you decide:

  • The license is fair-code, not standard open source. n8n ships under the Sustainable Use License, which permits internal business use and modification but not reselling it or charging others for access to it. For a normal small business running its own automations, that is fine. If you planned to resell automation as a hosted service, read the license first.
  • Some features sit behind a paid license key even when self-hosted. Single sign-on, audit logs, and workflow version control are enterprise features. If you need those, the savings evaporate.
  • You own uptime, backups, and updates. A small cloud server costs a few dollars a month. The real cost is the evening in August when a version upgrade breaks a node and the invoicing workflow stops running.
  • Data control is the strongest reason. If your automations move information you would rather not hand to another vendor, self-hosting is a legitimate and defensible answer, not just a cheap one.

For most Walworth County businesses without technical staff, cloud hosting on any of the three platforms is the right call. Self-hosting is a good option for a business with an in-house technical person or a standing relationship with one.

What Goes Wrong on Every Platform?

The platform choice matters less than the operating habits. These failures happen on all three, and the fix is the same on all three.

  1. Silent failures. A workflow errors and nobody notices for two weeks. Turn on error notifications to a channel a human actually reads, and build a monthly check that a workflow you expect to run has actually been running.
  2. Duplicate runs. A trigger fires twice and a customer gets two texts or two invoices. Add a deduplication step keyed on the record ID, not the timestamp.
  3. Broken connections. An app password changes, a token expires, and the connection quietly dies. Most breakages we see are expired authorizations, not logic errors.
  4. Nobody knows how it works. The person who built it left. Name every workflow in plain language, add a description of what it does and who owns it, and keep a one-page list of every live automation.
  5. Automating the wrong thing. If a process is unclear or changes monthly, automation locks in the confusion. Stabilize it on paper first.

Do This This Week

  1. Write down one process end to end, including what happens when someone does not respond. Whiteboard, napkin, doc, anything.
  2. Count the steps and estimate how many times a month it runs. Those two numbers decide your platform and your tier.
  3. Check that every app in that process has a connector on the platforms you are considering.
  4. Build the workflow on a free tier first, with your own email and phone number as the recipient, and let it run for a week.
  5. Move the filter to the step immediately after the trigger, so you stop paying for records you discard.
  6. Turn on error notifications and route them somewhere a person reads every day.
  7. Name the workflow clearly, write one sentence describing what it does, and put it on a shared list of live automations with an owner's name.
  8. Set a calendar reminder for 60 days out to check your actual task or operation count against the tier you bought.

Where to Go From Here

The decision comes down to two questions: how many steps are in your workflows, and who is going to maintain them. Few steps and no technical help points to Zapier. Many steps, branching, or real volume points to Make. A technical partner or a data-control requirement points to n8n. Any of the three will work; picking the wrong pricing model is what makes automation feel expensive.

If you want the processes mapped before the tools get chosen, that is exactly what our AI automation service does, and the AI Opportunity Audit ranks which processes are worth automating first. If you are earlier than that and just want to know whether people can find your business in the first place, the free Local Visibility Audit on our homepage is the better place to start.

Sources and Further Reading

  1. Plans and Pricing. Zapier, March 2026.
  2. Pricing and Subscription Packages. Make, March 2026.
  3. Pricing. n8n, March 2026.
  4. Compare Editions. n8n Docs, March 2026.
  5. The State of AI: Global Survey 2025. McKinsey and Company, 2025.
  6. Survey Reveals Small Businesses Are Using AI to Boost Productivity. Intuit QuickBooks, June 2025.
  7. Pricing. OpenAI, March 2026.
Questions

Frequently Asked

Is Make really cheaper than Zapier?

For most workflows with more than a few steps, yes, and often by a large margin. Both bill per action, but Make's included allowances are far larger relative to price: its entry paid plan includes 10,000 credits a month, while Zapier's entry paid tier includes a few hundred tasks. The gap widens as workflows get longer. Zapier's premium buys ease of setup and the broadest app catalog.

Is n8n free if I self-host it?

The community edition is free to download and run on your own server, under the Sustainable Use License, which allows internal business use and modification but not reselling it or charging others for access. Server hosting costs a few dollars a month. The real cost is maintenance: you own uptime, backups, and upgrades, and some enterprise features still require a paid license key.

Which automation platform is easiest for a beginner?

Zapier, clearly. You can build a working two-step automation in about ten minutes with no technical background, and its app catalog is the widest, which matters if you use niche industry software. Make takes roughly an afternoon to get comfortable with and rewards that time with much lower running costs. n8n assumes real comfort with data structures.

Can I switch platforms later without rebuilding everything?

You will rebuild the workflows, but not the thinking. Automations do not port between platforms, so plan on a few hours per workflow to recreate one. What carries over is the process map, the field mapping, and the decisions about what happens in edge cases, which is most of the real work. Businesses commonly start on Zapier and move to Make once volume or complexity grows.

No Cost · No Obligation

See Exactly Where You Stand Online

Get a free Lake Geneva Local Visibility Audit. We will show you where you stand on Google, AI search, listings, reviews, and social, plus what to fix first.