Zapier vs Make vs n8n — The Real Differences Between Automation Platforms

You’ve got three tabs open right now: Zapier’s pricing page, Make’s feature list, and some Reddit thread where someone swears n8n changed their life. Everyone has an opinion. Most of them are wrong—or at least incomplete. Here’s what actually matters when choosing between these platforms.

The Pricing Reality Check

Let’s start with money, because that’s usually where the confusion begins.

Zapier charges per “task”—each step in your workflow counts. A 5-step automation processing 100 records burns 500 tasks. Their Starter plan runs about $40/month for 750 tasks, but most real workflows push you toward $100-300/month territory fast.

Make (formerly Integromat) uses “operations” with similar logic, but at roughly 50-60% of Zapier’s cost. Their Core plan starts around $10/month for 10,000 operations—significantly more headroom for complex workflows.

n8n flips the model entirely. They charge per workflow execution, not per step. A 15-step workflow costs the same as a 2-step workflow. Cloud plans start at €24/month for 2,500 executions. Or you can self-host for free—unlimited everything, you just pay for your server.

The practical difference is massive. A medium-complexity e-commerce workflow (order → inventory → CRM → email → Slack → accounting) might cost $300/month on Zapier, $50/month on Make, or effectively nothing on self-hosted n8n.

Who Each Platform Is Actually For

Zapier is the Toyota Camry of automation. Reliable, everywhere, works for most people. Its 7,000+ integrations mean whatever weird SaaS tool your company uses probably has a native connection. The interface holds your hand through every step. Your marketing coordinator can build workflows without calling IT.

The trade-off: you pay a premium for that simplicity, and complex branching logic feels like wrestling with a stubborn form builder.

Make is the enthusiast’s choice—think Honda Civic Si. The visual canvas lets you see your entire workflow as a flowchart, with branches, loops, and error handlers visible at a glance. It handles conditional logic that would require awkward workarounds in Zapier. The 1,500+ integrations cover most needs, and the ones that exist often go deeper into app features than Zapier’s equivalents.

The trade-off: steeper learning curve, takes 1-2 hours instead of 15 minutes to build your first real workflow.

n8n is the kit car you build in your garage. Maximum power, maximum control, maximum responsibility. The 1,000+ native integrations are fewer on paper, but the HTTP Request node means you can connect to literally anything with an API. Self-hosting means your data never touches third-party servers. The 70+ dedicated AI nodes make it the strongest platform for building LLM-powered automations.

The trade-off: you need someone comfortable with APIs, JSON, and probably JavaScript. This is a developer tool that happens to have a visual interface.

The Complexity Threshold

Here’s a useful mental model: think about how many conditional branches your workflows need.

Zero to one branch? Zapier handles this beautifully. “When a form is submitted, add to CRM and send an email.” Done in five minutes.

Two to five branches? Make starts to shine. “When a form is submitted, check the budget field. If over $10k, notify sales immediately. If under $10k but in our target industry, add to nurture sequence. Otherwise, add to general list.” Make’s visual canvas makes this logic readable.

Five or more branches, or you need to call external APIs, transform data structures, or build anything involving AI? n8n becomes the obvious choice. You’ll spend more time upfront, but you won’t hit walls.

The AI Automation Question

If you’re building workflows that involve AI models, the gap between these platforms is significant.

Zapier added AI features, but they’re surface-level—pre-built actions for summarizing, formatting, and basic generation. Good for sprinkling AI into simple workflows.

Make goes deeper with their AI modules. You can build more sophisticated prompts, chain outputs, and handle the results programmatically. It’s a real step up for AI-assisted workflows.

n8n is in a different category entirely. Native LangChain integration, 70+ AI-specific nodes, support for self-hosted models, and the ability to build genuine AI agents that make decisions and take actions. If you’re doing anything involving RAG, multi-model orchestration, or autonomous workflows, n8n is currently the only serious option among these three.

The Hidden Costs Nobody Mentions

Zapier’s pricing page shows you monthly task limits. What it doesn’t show: those “premium” app integrations that require higher-tier plans. Or the way multi-step Zaps burn through tasks faster than you expect. Or the $50/month AI add-on for advanced features.

Make’s operations counting seems straightforward until you realize that filters, routers, and iterators all consume operations. A workflow processing 100 records with a filter and three branches uses way more operations than you’d naively calculate.

n8n’s self-hosting is “free” until you factor in server costs ($20-50/month for a decent VPS), your time managing infrastructure, and the learning curve for your team. Their cloud plans avoid the DevOps burden but still require more technical comfort than the alternatives.

The Practical Decision Framework

Start with three questions:

First, who’s building the workflows? If it’s a non-technical team that needs to move fast without developer support, Zapier is the right answer despite the cost. The premium you pay is for accessibility.

Second, what’s your data sensitivity? If you’re in healthcare, finance, or handling genuinely sensitive customer data, n8n’s self-hosting option becomes very attractive. Your data stays on your infrastructure.

Third, what’s your scale trajectory? If you’re automating a handful of simple workflows, any platform works. If you’re building a core business process that will process thousands of records daily, the cost difference between platforms becomes tens of thousands of dollars annually.

The Honest Recommendations

For solo operators and small teams without technical resources: Start with Make. It’s the best balance of power and accessibility at a reasonable price point. You’ll outgrow Zapier’s limitations before you outgrow Make’s.

For agencies and consultancies building client workflows: Make is again the sweet spot. Visual workflows are easier to document, hand off, and debug. The economics work better when you’re managing multiple automations.

For technical teams and developers: n8n, self-hosted. The learning curve pays off in flexibility, cost savings, and the ability to build automations that simply aren’t possible on the other platforms.

For enterprises with compliance requirements: n8n Enterprise or Zapier Enterprise, depending on whether you have DevOps resources. Both offer the security features and support contracts large organizations need.

The Bottom Line

There’s no universally “best” platform. There’s only the best platform for your specific situation. Zapier optimized for accessibility and breadth. Make optimized for visual power users. n8n optimized for technical depth and cost efficiency.

The worst choice is picking based on a feature comparison chart. The right choice comes from honestly assessing your team’s technical capabilities, your workflows’ complexity, and how much you’re willing to pay for convenience.

Most businesses should start with Make. It handles 80% of use cases at a fraction of Zapier’s cost, without requiring the technical investment n8n demands. Once you hit Make’s limits—or realize you need self-hosting, advanced AI, or truly custom logic—you’ll know it’s time to graduate to n8n.