Make vs Zapier vs n8n for Small Business (2026 Comparison)

I’ve built automations on all three of these platforms for clients ranging from a two-person Etsy shop to a 40-person agency. The short version: there is no single best tool, and anyone who tells you otherwise is selling you something. The right answer depends on who’s building, what you’re connecting, and how much volume you push.

This comparison is for small business owners and operators trying to pick one platform and stick with it. If you’ve already shortlisted two of these, I’ve written deeper teardowns — see the Zapier vs Make pricing breakdown — but if you’re starting from zero, start here.

The three contenders in one paragraph each

Zapier is the incumbent. It connects to roughly 8,000 apps, far more than anyone else, and its editor is simple enough that a non-technical office manager can ship a working automation in 20 minutes. It’s also, per unit of work, the most expensive of the three by a wide margin.

Make (formerly Integromat) sits in the middle. Its visual canvas shows your whole workflow as a flowchart, which makes complex branching genuinely easier to reason about than Zapier’s linear editor. Pricing is dramatically cheaper per unit — with a catch in how units are counted that we’ll get to.

n8n is the technical option. It’s source-available, you can self-host it for the cost of a small VPS, and it gives you code-level control (JavaScript/Python nodes, custom HTTP requests, your own LLM calls) that the other two only approximate. The trade-off: it assumes you’re comfortable with JSON, expressions, and occasionally reading error logs.

Comparison criteria

I’m judging on the things that actually bite small businesses six months in, not launch-day demos:

1. Ease of use — time from signup to first working automation, and how hard the ceiling is
2. App ecosystem — does it connect to the tools you already use, natively?
3. AI capabilities — native LLM steps, agents, and how much control you get
4. Error handling — what happens at 2 a.m. when an API call fails
5. Pricing model — not just sticker price, but how each platform counts work

Ease of use

Zapier wins this, clearly. The trigger-action model (“when X happens in app A, do Y in app B”) maps directly onto how non-technical people think about automation. Field mapping is point-and-click, the AI builder can draft a Zap from a plain-English sentence, and most single-app questions are answered by Zapier’s enormous template library.

Make has a steeper initial curve but a higher ceiling. The flowchart canvas is intimidating for the first hour — modules, routers, filters, bundles — but once it clicks, building a 15-step workflow with three branches is easier in Make than in Zapier, because you can see the whole thing. Zapier’s paths feature works, but a deeply nested Zap becomes a wall of collapsed steps you scroll through blind.

n8n is the hardest to start and the most powerful to finish. The node-based editor resembles Make’s, but n8n expects you to understand that data flows as JSON arrays between nodes. Its expression syntax is essentially JavaScript. For a developer this is liberating; for a marketer it’s a brick wall. n8n’s docs have improved a lot through 2025–2026, and the AI workflow builder helps, but I still wouldn’t hand n8n to a non-technical team without support.

App ecosystem

Numbers as of mid-2026 (these move constantly — check each platform):

	Zapier	Make	n8n
Native integrations	~8,000	~2,500	~1,200
Generic HTTP/webhook module	Yes (paid tiers for some features)	Yes, excellent	Yes, best-in-class
Community nodes/apps	Limited	Growing	Large, open ecosystem

Raw counts overstate the gap. The top 200 business apps — Google Workspace, Slack, HubSpot, Stripe, Shopify, Notion, Airtable, Mailchimp — are on all three. The difference shows in the long tail: that niche field-service tool or regional accounting app is far more likely to have a polished native Zapier integration.

The counterweight: Make and n8n have excellent generic HTTP modules, so anything with a REST API is reachable if you can read API docs. On n8n, “if you can read API docs” is basically the platform’s admission requirement anyway. On Zapier, custom API calls are possible via webhooks and the API request action but feel like an afterthought.

Honest weakness for Zapier here: depth. Many of those 8,000 integrations expose only the most common triggers and actions. I’ve repeatedly hit cases where the Zapier integration for an app didn’t support the one endpoint I needed, and the fix was a webhook workaround I could have built faster in n8n.

AI capabilities

This deserves its own article — and has one: best automation tool for AI workflows. The condensed version:

• Zapier has the most polished packaged AI: AI-powered Zap building, Copilot, agents, Chatbots, and one-click AI steps. Great for “summarize this email and draft a reply” use cases. Less great when you want to control the model, system prompt, and output schema precisely.
• Make has solid AI app modules (OpenAI, Anthropic, Google) and its AI agents feature, and the visual canvas is genuinely nice for chaining multi-step LLM flows.
• n8n is the strongest for serious AI work: LangChain-based AI nodes, any model via API (including local models), vector store integrations for RAG, and full control over prompts and JSON output. Most of the impressive AI agent demos you see on YouTube in 2026 are built on n8n for a reason.

If you’re automating something like lead enrichment with an LLM, our lead capture to CRM with AI tutorial shows the same workflow on all three.

Error handling

The boring criterion that matters most once automations run your invoicing.

• Zapier: auto-replay of failed tasks on paid plans, email alerts, and a decent task history. Custom error paths exist but are basic.
• Make: the most granular of the three for non-coders — error handler routes per module (retry, ignore, rollback, break), plus incomplete execution storage so failed runs can be resumed. This is a real, underrated Make advantage.
• n8n: error workflows (a dedicated workflow triggered on any failure), retry settings per node, and full execution logs with the actual JSON at every step. Best debugging experience by far — if you can read the logs.

Pricing: the part where everyone gets burned

Here’s the gotcha that costs small businesses real money: the three platforms count work differently, and the units are not comparable.

• A Zapier task = one action step executed. Triggers are free; a 4-step Zap that runs once consumes 3 tasks (the trigger doesn’t count, every action does).
• A Make operation = every module execution, including the trigger, and including each item an iterator processes. A 4-module scenario that runs once = 4 operations. If one of those modules iterates over 50 rows, that branch alone can be 50+ operations.
• An n8n execution = one complete workflow run, regardless of how many nodes it has. A 40-node monster that runs once = 1 execution.

So “10,000 operations” on Make is not 10,000 Zapier tasks, and n8n’s seemingly low execution counts go much further than either. This single fact reorders the price comparison depending on your workflow shape: many simple zaps favor Zapier’s counting the least badly; long complex workflows make n8n absurdly cheap.

Worked example: 2,000 and 10,000 tasks/month

Assume an average automation of 5 steps (1 trigger + 4 actions), and define volume in Zapier tasks. 2,000 Zapier tasks/month = 500 runs of that workflow = 2,500 Make operations = 500 n8n executions. 10,000 Zapier tasks = 2,500 runs = 12,500 Make operations = 2,500 n8n executions.

Approximate pricing as of mid-2026 — check current pricing pages before deciding, all three adjust tiers regularly:

Monthly volume	Zapier	Make	n8n Cloud	n8n self-hosted
~2,000 tasks (500 runs)	Professional ~$49/mo (2,000 tasks)	Core ~$9–11/mo (10,000 ops — huge headroom)	Starter ~$24/mo	~$6–12/mo VPS
~10,000 tasks (2,500 runs)	Professional ~$130+/mo (10,000-task tier)	Core/Pro ~$16–30/mo (20,000 ops)	Starter–Pro ~$24–60/mo	~$6–12/mo VPS

At 10,000 tasks/month, Zapier costs roughly 5–8× what Make does for the same work, and self-hosted n8n is nearly free in subscription terms (your time is the real cost — see the self-hosted vs cloud breakdown). Run your own numbers in our automation cost calculator.

What that table hides: Zapier’s price buys the broadest integrations and the least maintenance. For a business where the owner’s hourly value is high and volumes are modest, paying the Zapier tax can be entirely rational.

Where each one falls down

• Zapier: cost at scale; shallow integrations for advanced endpoints; linear editor strains on complex logic; multi-step workflows burn tasks fast.
• Make: operations counting punishes iterators and polling (a scenario checking every 15 minutes burns ~2,880 ops/month doing nothing); the learning curve is real; support on lower tiers is slow.
• n8n: smallest native app catalog; non-technical users will struggle; self-hosting makes you the ops team; cloud tier is pricier than Make for simple workloads.

Verdict by persona

Solo founder, non-technical, < 2,000 tasks/month: Zapier. Your scarcest resource is time, not money. Ship automations in minutes, revisit when the bill crosses ~$100/month.

Marketer or ops person, comfortable learning a tool: Make. The week you invest in the canvas pays back in cheaper, more capable workflows. Best overall value for most small businesses.

Agency managing client automations: Make for most, with Zapier where clients demand it — full reasoning in the agencies comparison.

Technical team or founder who codes: n8n. Self-host it, get unlimited workflows for VPS pocket change, and never hit a wall a Function node can’t break through. Build the AI support bot on it as a first project.

There’s no wrong choice among these three — only a wrong fit. Pick for the builder you have, not the builder you wish you had.