n8n vs Zapier vs Make: Which Automation Platform Should You Choose?

Every founder hits the same wall. You have got processes that eat hours of your week. You know automation can fix it. You Google "best automation tool" and you get three names: Zapier, Make, and n8n. Then you spend two weeks stuck in comparison paralysis.

I am going to save you those two weeks. I have used all three extensively. At 9Mil, we build AI growth infrastructure for B2B companies, and we have deployed workflows on every major platform. Here is the honest breakdown, no affiliate links, no sponsor bias.

The Quick Overview

Zapier is the gateway drug of automation. It is the easiest to start with, has the most integrations (6,000+), and requires zero technical knowledge. It is also the most expensive at scale and the least flexible when you need to do anything complex.

Make (formerly Integromat) is the visual builder that power users love. It is significantly cheaper than Zapier, handles complex logic better, and has a visual flow builder that makes multi-branch workflows intuitive. The learning curve is steeper, but the ceiling is higher.

n8n is the open-source option that developers and technical founders gravitate toward. It can be self-hosted, has a fair-code license, supports custom code nodes, and has native AI capabilities. It is the most powerful of the three, but it demands more technical comfort.

Pricing: Where It Gets Real

This is where most comparison articles get it wrong. They show you the starter pricing. Let me show you what happens at scale.

Zapier pricing at volume:

• Free: 100 tasks/month (useless for any real business)
• Starter: ~$20/month for 750 tasks
• Professional: ~$50/month for 2,000 tasks
• Team: ~$70/month per user for 2,000 shared tasks
• At 50,000 tasks/month: you are looking at $400-600/month easily

Make pricing at volume:

• Free: 1,000 operations/month
• Core: ~$9/month for 10,000 operations
• Pro: ~$16/month for 10,000 operations (with more features)
• At 50,000 operations/month: roughly $50-80/month

n8n pricing:

• Self-hosted: Free forever (you pay for your server, typically $5-50/month on a VPS)
• Cloud Starter: ~$20/month
• Cloud Pro: ~$50/month
• At 50,000 executions/month self-hosted: still just your server cost

"A workflow that costs you $20/month on Zapier's starter plan can cost $500/month once your business scales. The same workflow on a self-hosted n8n instance costs the same $20 VPS fee regardless of volume."

Integration Ecosystem

Zapier wins on breadth. With 6,000+ integrations, it connects to almost everything. If a SaaS tool exists, Zapier probably has a connector for it.

Make has around 1,500+ integrations. Fewer than Zapier, but it covers all the major tools. You rarely encounter a situation where Make cannot connect to what you need.

n8n has 400+ built-in integrations plus the ability to connect to literally anything via HTTP requests, custom code, or community nodes. The number is smaller, but the flexibility is unlimited. If it has an API, n8n can talk to it.

For most B2B founders, all three platforms cover the tools you actually use: your CRM, email provider, Slack, Google Sheets, calendar, and payment processor. The integration count only matters if you are using niche tools.

Complexity and Flexibility

This is where the platforms diverge sharply.

Zapier is linear. Trigger, then action, then action, then action. You can add filters and paths, but complex branching logic gets messy fast. If you need to loop through data, make conditional decisions, or handle errors gracefully, Zapier starts fighting you.

Make handles complexity beautifully. Its visual router lets you build multi-branch workflows that are easy to follow. Error handling is built in. Iterators and aggregators let you process arrays of data without hacks. For non-technical users who need complex workflows, Make is the sweet spot.

n8n is the most powerful. Custom JavaScript or Python nodes mean you can do literally anything. Complex data transformations, API calls with custom authentication, database queries, AI model integrations, all native. The trade-off is that you need someone comfortable with code to unlock its full potential.

Self-Hosted vs Cloud: Why It Matters

This is a factor most comparison articles skip, but it is critical for growing businesses.

Zapier and Make are cloud-only. Your data flows through their servers. Your workflows are stored on their infrastructure. If they go down, your automations stop. If they change their pricing (and Zapier has raised prices multiple times), you eat it or migrate.

n8n can be self-hosted. Your data stays on your infrastructure. Your workflows run on servers you control. There is no vendor dependency. And for industries with strict data compliance requirements like healthcare, finance, or legal, this is not a nice-to-have, it is a requirement.

At 9Mil, we self-host n8n for every client. This gives us complete control over uptime, data security, and cost. When a client's automation volume doubles, their costs do not.

AI Capabilities: The Deciding Factor for 2025

Here is what pushed us firmly into the n8n camp.

Zapier has added some AI features, mostly around natural language automation building and basic AI actions. They are surface-level. Useful for simple tasks, but not for building real AI agents.

Make has integrations with OpenAI and other AI providers. You can call AI models as steps in your workflow. It works, but it feels bolted on rather than native.

n8n has purpose-built AI nodes: LangChain integration, vector store support, AI agent nodes, memory management, and tool-calling capabilities. You can build genuine agentic workflows where an AI agent decides what to do next based on context. This is not "call GPT and paste the output." This is real agent architecture.

"If you are building growth infrastructure that uses AI, and in 2025 you should be, n8n is the only platform where AI is a first-class citizen rather than an afterthought."

When to Use Each Platform

Here is my honest recommendation:

Choose Zapier if:

• You are non-technical and need simple automations right now
• Your volume is low (under 1,000 tasks/month)
• You need to connect niche SaaS tools that only Zapier supports
• Speed of setup matters more than long-term cost

Choose Make if:

• You need complex, multi-branch workflows without code
• You want significantly better pricing than Zapier
• Your team is comfortable with a visual builder that has a learning curve
• You do not need self-hosting or advanced AI capabilities

Choose n8n if:

• You want full control over your automation infrastructure
• Self-hosting and data sovereignty matter to you
• You are building AI-powered workflows and agents
• You have someone technical on your team (or are working with a partner like 9Mil)
• You want predictable costs that do not scale with volume

Why 9Mil Chose n8n

We evaluated all three platforms extensively before standardizing on n8n. The decision came down to four factors:

• AI-native architecture: We build agentic AI systems. n8n is the only platform where we can build real AI agents with tool-calling, memory, and decision-making, not just "insert GPT response here."
• Self-hosting: Our clients' data stays on infrastructure we control. No third-party data processing. No compliance headaches.
• Cost predictability: When we scale a client's automation from 1,000 to 100,000 executions per month, their infrastructure cost stays flat. That is a massive advantage.
• No limits on complexity: Custom code nodes mean we never hit a ceiling. If we can imagine a workflow, we can build it.

That said, we are not dogmatic about it. If a client has an existing Zapier or Make setup that works, we do not rip it out for the sake of it. The best platform is the one that solves your problem.

The Decision Framework

Ask yourself three questions:

1. What is your technical comfort level? If nobody on your team can touch code, start with Make. If you have a developer or technical co-founder, go straight to n8n.
2. What is your projected automation volume in 12 months? If it is under 5,000 tasks/month, pricing differences are marginal. Over 10,000 and you need to think seriously about Make or n8n.
3. Are you building AI-powered workflows? If yes, n8n is the only serious option. The gap in AI capabilities is not close.

Do not overthink this. Pick one, build something this week, and iterate. The worst decision is no decision.

Some links in this article are affiliate links. If you sign up through them, 9Mil may receive a commission at no extra cost to you. We only recommend tools we actively use.