Zapier vs Make vs n8n: Which Automation Tool Is Right for a Small Business in 2026?

What these three tools actually do

Zapier, Make, and n8n all solve the same basic problem: moving information between apps without a person copying and pasting it. A lead fills out a form and a record appears in the CRM. An invoice goes unpaid for ten days and a reminder email goes out. A support request comes in and gets tagged and routed. That’s the whole category — there’s no magic beyond «if this happens, do that, reliably, without someone remembering to do it.»

Where the three tools split is how you build the automation, what it costs once you’re running more than a handful of workflows, and how much technical comfort your team needs to keep it working. I’ve set up all three for real small business use: quote follow-ups, lead routing from a web form into a CRM, support ticket triage, invoice chasing. None of them is simply «the best.» Each fits a different kind of business, and picking the wrong one either wastes money or eats the time you were trying to save.

Pricing compared

A few things the table can’t show: Zapier’s free plan gives you 100 tasks and only single-step Zaps, so most real use needs the paid tier. Make’s free plan gives 1,000 credits and caps you at two active scenarios. n8n’s Cloud has a free trial with a 1,000-execution cap, and its Community edition is genuinely free forever if you’re willing to run it yourself — more on what that actually costs in a separate piece.

Same job, three different meters

This is where people get tripped up, because «task,» «operation,» and «execution» sound interchangeable and aren’t.

A Zapier task is charged per completed action step — the trigger is free, but every action after it counts. A four-step Zap that runs 500 times a month burns roughly 1,500 tasks (three billable actions times 500 runs), which blows past the Professional plan’s base allowance on its own.

A Make operation (rebranded «credit» in 2026) is charged per module call inside a scenario. The catch is that loops and router branches multiply fast: iterate over a list of 50 items and each item can count as its own operation. Make is genuinely cheap for simple scenarios and can get expensive quickly for anything with iterators or multiple branches running in parallel.

An n8n execution is charged per workflow run, full stop — a 3-step workflow and a 30-step workflow both cost one execution. This is the single biggest structural difference in this comparison. If your workflows have a lot of steps per run, n8n’s unit economics look far better on paper. What that comparison leaves out is that you’re either paying for n8n Cloud (which has its own tiers) or taking on the hosting and maintenance yourself to get the free version.

None of this means one meter is «better» in the abstract — it means you can’t compare sticker prices across these three tools without mapping your actual workflow shape onto each pricing model first.

To make it concrete: picture a quote follow-up workflow with five steps that runs about 400 times a month — a realistic volume for a small service business. On Zapier, that’s roughly 1,600 billable tasks (four action steps times 400 runs), which pushes you well past the Professional plan’s starting allowance and into paid overage or the next tier up. On Make, the same five-module scenario running 400 times lands around 2,000 credits if nothing branches or loops — comfortably inside the Core plan’s 10,000-credit allowance, with room to spare. On n8n, it’s simply 400 executions, which fits inside even the Cloud Starter plan’s 2,500-execution limit with room for several more workflows on top. Add a loop that processes 20 line items per quote, though, and the Make number jumps sharply while the n8n number doesn’t move at all — because n8n still counts the whole run as one execution regardless of what happens inside it.

Where AI fits into the pricing now

All three vendors have bolted AI features onto their pricing in the last year or two, and it’s worth knowing where that shows up on the bill before you commit. Zapier sells AI-powered «Agents» as a separate product with its own free tier and its own paid tier, on top of whatever core plan you’re already paying for — so an AI-driven workflow can mean two subscriptions, not one. Make folds AI Agents into its existing operations/credits model, which means an AI step consumes credits like any other module — often more of them, since AI calls tend to be heavier than a simple data transfer. n8n bundles a monthly AI credit allowance directly into its Cloud plans (a few thousand credits even on the Starter tier), which covers light use of its built-in AI nodes without a separate line item, though heavy AI workloads will still eat into that allowance fast. None of the three make AI free — they just meter it differently, which is the same lesson as the rest of this comparison.

Learning curve, honestly

Zapier is built so a non-technical person can create a working automation in ten minutes. That’s not marketing — it’s the actual experience. The trade-off is that anything beyond «trigger, then a couple of straightforward actions» starts to feel constrained, and workarounds for conditional logic get clunky.

Make’s visual canvas is more powerful and, once you understand it, genuinely pleasant to build in. But «once you understand it» is doing real work in that sentence — routers, filters, and iterators take a few real scenarios to click, and someone on your team needs to own that learning.

n8n has the steepest curve of the three by a clear margin. It’s node-based like Make, but it exposes more of the underlying logic — JSON payloads, expressions, and full JavaScript or Python code nodes when you need them. That power is exactly why technical teams like it, and exactly why it’s a poor fit if nobody on staff is comfortable reading an API response.

Zapier: strengths and real drawbacks

Zapier’s advantage is reach and simplicity — a catalog well past 8,000 app integrations and an editor that doesn’t require anyone to think in «nodes» or «modules.» For a small business connecting mainstream tools (a form service, a CRM, an email platform, a scheduling app) in mostly linear chains, it’s the fastest path from idea to working automation.

The real drawbacks: task-based pricing punishes multi-step workflows at volume, the free plan is too limited to evaluate the tool properly (single-step only), and Zapier has spread into adjacent paid products — Agents, Chatbots, Interfaces — that aren’t included in the core plans and add to the bill if you start using them. Teams that outgrow simple, linear automation often find themselves paying Team-plan money for what’s still, functionally, a handful of workflows.

Make: strengths and real drawbacks

Make’s advantage is the visual builder — you can see the whole flow of data on a canvas, branch it, merge it back, and debug a failed run by looking at exactly which module choked and why. For businesses that need conditional logic (route this lead differently depending on deal size, merge data from two sources before acting) without writing code, it’s a genuine step up from Zapier’s linear model, usually at a lower cost per unit of automation.

The real drawbacks: the credit-per-module-call model has the same complexity tax as Zapier’s, just measured differently — iterators and heavy branching burn through allowances fast, and the terminology shift from «operations» to «credits» in 2026 makes some older tutorials and community answers slightly out of date. Like Zapier, there’s no self-hosted option, so your data and your monthly bill both live entirely inside Make’s cloud.

n8n: strengths and real drawbacks

n8n’s advantage is flexibility and control. The per-execution pricing model rewards complex, multi-step workflows instead of penalizing them, the free self-hosted Community edition is a real, usable product (not a crippled trial), and full code nodes mean there’s very little you genuinely can’t build. For a business with data-residency requirements or a technical person who wants to own the stack, n8n is the only one of the three that offers that option at all.

The real drawbacks: the learning curve is real, not a marketing understatement — non-technical staff will need training or a dedicated builder on the team. The self-hosted route trades a subscription fee for hosting and maintenance responsibility (a small but nonzero ongoing cost in time, even on a cheap server). And n8n’s native integration library, while large, is smaller than Zapier’s or Make’s — you’ll lean on its generic HTTP Request node for less common apps, which means reading API documentation rather than picking a pre-built connector from a list.