n8n vs Zapier vs Make: Which Fits a Small Business in 2026

If you have looked into workflow automation for more than five minutes, you have run into these three names. All three let you connect apps like Gmail, QuickBooks, Shopify, and Slack so that data moves between them without a person copying and pasting. Beyond that, they diverge fast, in who they are built for, how they price, and what happens once your workflows get past the simple stuff.

This is a plain comparison, not a pitch for any one of them. We use all three ourselves, depending on the client and the job. Here is what we have learned running them in production.

The Short Version

• Zapier is the easiest to learn and the most reliable for simple, low-volume automations. It is also the most expensive per action once volume grows, because it bills per task.
• Make (formerly Integromat) has a visual, flowchart-style builder that handles branching and complex logic better than Zapier, and it is meaningfully cheaper at scale because it bills per operation, not per task, and its plans include far more of them.
• n8n is open source and self-hostable, meaning you can run it on your own server for close to nothing beyond hosting cost. It is the most flexible of the three, with native support for custom code and AI agent workflows, but it has the steepest learning curve and, if self-hosted, you own the uptime.

None of the three is "best." Each is best for a different business at a different stage. The rest of this post walks through why.

What Each Tool Actually Is

Zapier

Zapier launched in 2011 and is the tool most people mean when they say "automate my apps." It connects to over 7,000 apps, more than either competitor, and its builder is a simple linear sequence: a trigger happens, then one or more actions run in order. There is no visual canvas, just a list of steps you configure one at a time.

That simplicity is the whole appeal. A non-technical office manager can build "when a form is submitted, add the contact to our CRM and send a Slack notification" in about ten minutes without training. Zapier also has the deepest library of pre-built templates and the most mature integrations, so if you use a niche SaaS tool, Zapier is more likely to already support it natively.

The tradeoff is branching logic and multi-path workflows feel bolted on. Zapier added Paths (conditional branches) later in its life, and they work, but the tool was not built around them the way Make's canvas was.

Make

Make is a visual, node-based builder where you drag modules onto a canvas and draw connections between them. You see the whole workflow as a flowchart, including every branch, filter, and router, at once. For anyone who thinks visually, this is a real advantage over Zapier's linear step list, especially once a workflow has more than three or four steps.

Make also gives you more control per module: you can transform data, run iterators over arrays, aggregate results, and build error-handling routes directly on the canvas. It supports about 2,000 app integrations, fewer than Zapier, but it covers the popular ones plus a solid selection of dev-facing tools (webhooks, HTTP requests, custom APIs) that make it easy to plug in something Make does not natively support.

n8n

n8n (pronounced "n-eight-n," short for "nodemation") is open source. You can run it entirely on your own infrastructure, which means the software itself is free, and your only cost is server hosting, typically 5 to 20 dollars a month on a small VPS. n8n also offers a paid cloud-hosted version if you would rather not manage a server, starting around 24 dollars a month.

Functionally, n8n sits closest to Make, with a visual canvas and support for branching, loops, and error workflows. What sets it apart is how far it goes for technical users: a built-in code node lets you write JavaScript or Python directly inside a workflow step, and it has first-class support for building AI agent workflows, chaining LLM calls, memory, and tool use into a single flow. It supports around 400-plus native integrations, the fewest of the three, but its HTTP request node and code node mean it can talk to almost any API that exists, even ones with no dedicated connector.

The cost of that flexibility is a steeper learning curve. Non-technical users can still build simple n8n workflows, but the tool rewards someone comfortable with JSON, APIs, and a bit of scripting. If you self-host, you are also responsible for updates, backups, and uptime, unless you pay for the cloud plan.

Pricing: Where the Real Difference Shows Up

This is the category that separates these three tools most sharply once a business scales past a handful of simple automations.

Zapier bills per task. A task is counted every time a Zap successfully completes an action step. The free plan caps you at 100 tasks a month, which sounds like plenty until you realize a single automation with three action steps burns three tasks per run. A business processing a few hundred orders or leads a month can chew through thousands of tasks fast. Paid plans start around 20 dollars a month for a low task allotment, and cost climbs steeply from there, with businesses running real volume often landing in the 100 to 300 dollar-plus range monthly, sometimes well beyond that for high-volume operations.

Make bills per operation. An operation is counted at a more granular level, generally each time a module runs inside a scenario, including filters and routers, not just final actions. That sounds like it should cost more, not less, but in practice Make's per-operation price is lower and its plans bundle far more operations for the same dollar. A business that would spend 100 dollars a month on Zapier for a given volume of work commonly pays 20 to 40 dollars a month for equivalent volume on Make. This is the single biggest reason cost-sensitive, higher-volume businesses migrate from Zapier to Make.

n8n has no per-task or per-operation billing at all if self-hosted. You pay for the server, not for how many workflows run or how many steps they contain. This makes n8n's cost essentially flat regardless of volume, which matters enormously for a business running thousands of automation events a month. The cloud-hosted version does have tiered pricing based on active workflows and execution volume, but it is still generally cheaper at scale than Zapier and comparable to or cheaper than Make.

Side-by-Side Comparison

Which One Should You Actually Pick?

The honest answer depends on three things: how technical your team is, how much volume you are running, and how complex your logic needs to get. Here is how we would guide a business through the decision, by scenario.

You want something simple, and nobody on your team writes code

Pick Zapier. If your automation needs are a handful of straightforward workflows, new lead comes in, add it to the CRM and send an alert, someone fills out a form, generate an invoice, Zapier's simplicity is worth the premium. Your team can build and maintain these themselves without pulling in outside help, and at low task volume the cost stays reasonable. Do not fight the tool's linear nature by forcing in six layers of branching logic. If you find yourself doing that, you have outgrown Zapier.

You are running real volume and cost is starting to sting

Pick Make. If you have already felt a Zapier bill jump because task usage crept up, or you are building workflows with multiple conditional branches and filters, Make's per-operation pricing and visual canvas solve both problems at once. It takes a bit more setup time to learn the module-based builder, but most teams get comfortable within a week or two, and the cost savings compound every month after that.

You want to own it, your workflows are complex, or you are building with AI agents

Pick n8n. If your team includes someone technical, or you are willing to invest a bit of learning time, n8n gives you the most control for the least ongoing cost. It is also, right now, the strongest of the three for building actual AI agent workflows, chaining a language model into a business process with memory, tool calls, and conditional logic, rather than a single one-off AI action bolted onto a Zap. If data ownership matters to you, financial records, client PII, anything you would rather not run through a third party's cloud, self-hosted n8n keeps everything on infrastructure you control.

When You Outgrow All Three

There is a point every one of these tools eventually hits, no matter which you start with. A workflow gets complex enough that you are stacking filters, routers, and error-handling branches just to work around what the platform was not built to do. Or the per-task or per-operation cost keeps climbing even after you have optimized every step. Or the business logic is specific enough, your pricing rules, your compliance requirements, your exact customer journey, that no combination of pre-built nodes fits it cleanly.

That is usually the sign it is time for something custom-built rather than assembled from someone else's connector library. A purpose-built agent does not bill per task, does not cap at a tier, and does exactly what your business needs rather than what a general-purpose builder happens to support. It also means you own the code outright, not a subscription you keep renting month after month. This is the same logic that shows up across other workflow decisions too, including AI agents for ecommerce operations, where off-the-shelf automation tools tend to hit a ceiling once order volume and business rules get specific.

We are not saying jump to custom on day one. Zapier, Make, and n8n are the right starting point for the vast majority of small businesses, and plenty of companies run all their automation on one of the three indefinitely without ever needing anything else. But if you have read this far because you are already fighting your current tool's limits, that is worth naming honestly rather than adding one more workaround.

The Practical Next Step

If you are choosing for the first time: start with Zapier if your team is non-technical and volume is low, start with Make if you expect to scale past a few hundred actions a month, and start with n8n if you have technical capacity in-house or want to build with AI from day one. All three let you export or rebuild workflows if you outgrow them, so the decision is not permanent.

If you are migrating because your current tool is costing too much or blocking what you need to build, run the math first. Pull your last three months of task or operation usage, price it out on the other platforms, and compare against what a self-hosted or custom option would actually cost over a year, not just a month. Our pricing page breaks down what a custom-built alternative runs when the math stops favoring a subscription tool.