n8n vs Zapier vs Make: which automation tool should you actually use?

I've built production automations on all three. They look similar from a marketing page, but they're not interchangeable. The choice between Zapier, Make, and n8n usually comes down to three questions: how complex is your workflow, how much do you care about cost at scale, and how comfortable are you with technical setup.

Here's the practical version, with the cases where each one actually wins.

The 30-second version

• Zapier — easiest. Best for non-technical teams running simple, low-volume workflows.
• Make (formerly Integromat) — middle ground. Visual, more powerful than Zapier, weird pricing model.
• n8n — most powerful and most flexible. Wins on cost at scale, AI workflows, and self-hosting. Slight technical lift to set up.

If you want the long version, keep reading.

Pricing in 2026

This is where most teams make the wrong choice — they pick based on the free tier, then get surprised when they scale.

Zapier

Zapier prices per task (one action = one task). The Pro plan starts around $19.99/month USD for 750 tasks. Once you're running real workflows, you'll burn through that in a day. Realistic monthly bill for a small team with serious automation: $200–$500 USD/month.

Make

Make prices per operation (each module run = one operation, so a single workflow can use 5–10 ops). Plans start at $10.59/month USD for 10K operations. Cheaper per-operation than Zapier per-task, but operations add up fast in complex scenarios.

n8n

Two paths:

• n8n Cloud — starts at $24/month USD, prices on workflow executions, not individual tasks/operations. One workflow run = one execution, regardless of how many steps it has. This is the killer feature: a workflow with 20 steps costs the same as one with 2.
• Self-hosted n8n — free software, you pay for hosting. A $6/month VPS handles thousands of executions. Effectively unlimited automation for under $100/year.

At scale, n8n is dramatically cheaper than the other two. A workflow that costs $200/month on Zapier might cost $24/month on n8n Cloud or $6/month self-hosted.

Ease of use

Zapier wins on day one. The UI is built for someone who has never seen a workflow tool before. Click trigger, click action, fill in fields, done. If you're building a 3-step automation and you don't want to think, Zapier is the right answer.

Make is more powerful but harder to learn. The visual canvas is genuinely beautiful, but routes, iterators, and aggregators have a learning curve. Once you know it, you can build things Zapier physically can't.

n8n requires the most setup but gives you the most control. The visual builder looks similar to Make. The difference is that n8n exposes lower-level concepts (HTTP requests, code nodes, expression language) more directly. If you've ever written a script, n8n feels like home. If you haven't, expect 1–2 days of learning curve.

Integrations

Each platform brags about its integration count. Real numbers:

• Zapier: 7,000+ integrations. Widest catalog by far.
• Make: 1,800+ integrations.
• n8n: 400+ integrations, plus the ability to call any HTTP API (which covers everything else).

In practice, the count matters less than you'd think. The top 50–100 SaaS tools (Slack, Notion, HubSpot, Airtable, Stripe, Google Workspace, Salesforce, etc.) are well-supported on all three. The long tail is where Zapier wins — if you need to connect some niche regional CRM, Zapier probably has it and the others don't.

For n8n specifically, the HTTP request node is a quiet superpower. Anything with an API can be called directly. You write slightly more configuration, but you're never blocked.

AI workflows

This is where n8n has pulled ahead in 2025–2026.

n8n added AI Agent nodes, vector store integrations, and structured-output handling as first-class concepts. Building a RAG pipeline, a multi-step agent, or a tool-using LLM workflow is straightforward in n8n in a way it isn't in Zapier or Make.

Zapier and Make both have OpenAI integrations, but they're wrapped at the "send a prompt, get a response" level. For anything serious — embeddings, retrieval, multi-step reasoning — you'll outgrow them quickly.

Self-hosting and data control

Only n8n offers real self-hosting. If your data can't leave your infrastructure (compliance, sensitive customer data, internal-only workflows), n8n is the only option in this list.

Zapier and Make are SaaS-only. Your data passes through their servers. For most use cases that's fine, but for some it's a hard no.

When each one actually wins

Pick Zapier when…

• You're non-technical and need to ship one workflow this week
• You're connecting two SaaS tools with simple field mappings
• You need an obscure integration that only Zapier supports
• Your monthly task volume is low (under a few hundred)

Pick Make when…

• You like visual programming and want more power than Zapier
• Your workflows have branching logic, loops, or complex data transformation
• Your operation count fits comfortably in a paid plan
• You're already paying for it and it works

Pick n8n when…

• Cost will matter at scale (it always does)
• You're building AI workflows beyond "ask a model a question"
• You need self-hosting for compliance or data control
• You're technical, or you're hiring someone technical to build it
• Your workflows are complex enough that pricing-per-step would be brutal

What I default to

I default to n8n self-hosted on a small VPS for almost every client project. The setup is one afternoon. After that, the running cost is negligible, and there's no ceiling on what you can build. If a client doesn't want to manage infra, n8n Cloud is the next default — still cheaper than Zapier or Make at any meaningful scale.

I'd only choose Zapier today for clients who explicitly need to manage their own automations after I leave, and who don't have a technical person in-house. The simplicity is worth the long-term cost premium for them.

Bottom line

Zapier is the easiest. Make is the most beautiful. n8n is the most powerful and the cheapest at scale. For a team that's going to run real automation at any meaningful volume, n8n is almost always the right answer in 2026 — especially if AI is anywhere in the workflow.