What's the Difference Between n8n, Zapier, and Make for Business Automation?
Zapier is the easiest to use and has the most integrations (9,000+ apps), but it's the most expensive at scale. Make offers visual workflow building with complex branching logic at roughly 60% less cost than Zapier. n8n is open-source, can be self-hosted for free, and is 5 to 15 times cheaper at high volume. The right choice depends on your team's technical comfort, your monthly automation volume, and whether data privacy is a requirement.
These three platforms are the dominant workflow automation tools in 2026. They all connect your business apps and run tasks without manual input: lead follow-up, invoice processing, data syncing, customer onboarding. But they charge differently, require different skill levels, and serve different types of businesses.
How Does Each Platform Work?
Zapier connects apps through a simple trigger-action interface. You pick a trigger ("when a form is submitted"), add actions ("create a CRM contact," "send a Slack message"), and the automation runs. No code required. A non-technical business owner can have their first automation running in under 30 minutes.
Make (formerly Integromat) uses a visual canvas where you build workflows as flowcharts. You can see data flowing between modules, add branching paths, loops, and conditional logic. It's more powerful than Zapier's linear approach, but takes a weekend to learn instead of an afternoon.
n8n (pronounced "n-eight-n") is an open-source platform you can run on your own server. It has a node-based editor built for users comfortable with APIs and JSON. Its 70+ AI nodes and native LangChain integration make it the strongest platform for building AI agent workflows, and the 2.0 release (January 2026) added human-in-the-loop approval for AI agent tool calls.
How Do They Compare on Price?
This is where the decision gets real. Each platform bills on a different unit, so the same workload costs very different amounts.
- Zapier charges per task. Every step in your workflow counts as one task. A 5-step workflow running once uses 5 tasks.
- Make charges per operation. Similar to Zapier's model, each module execution is one operation, but at a dramatically lower price per unit.
- n8n charges per execution. One complete workflow run equals one execution, regardless of how many steps it contains. A 10-step workflow still counts as one execution.
That billing difference compounds at scale. Here's what the same workload actually costs:
| Monthly Volume | Zapier | Make | n8n Cloud | n8n Self-Hosted |
|---|---|---|---|---|
| 500 runs, 3 steps each | ~$30/mo | ~$10/mo | ~$24/mo | ~$5-10/mo |
| 2,000 runs, 5 steps each | ~$50-100/mo | ~$9-16/mo | ~$24/mo | ~$5-10/mo |
| 10,000 runs, 8 steps each | ~$300-600/mo | ~$200-400/mo | ~$60/mo | ~$10-20/mo |
| 50,000 runs, 10 steps each | ~$1,500-3,000/mo | ~$800-1,500/mo | ~$800/mo | ~$50-100/mo |
For a typical small business running 5 workflows at about 50 runs per day (roughly 7,500 monthly operations), the real costs are: Zapier at $50 to $100 per month, Make at $9 to $16 per month, and n8n self-hosted at $5 to $20 per month.
The entry-level pricing tells a similar story. Zapier's paid plans start at ~$20 per month for 750 tasks. Make's Core plan is $9 per month for 10,000 operations. n8n's self-hosted Community Edition is free with unlimited executions; the managed cloud starts at $24 per month for 2,500 executions.
Which Platform Has the Best AI Features?
AI capabilities shifted significantly in early 2026. All three platforms now offer AI-powered automation, but at very different depths.
n8n leads with 70+ native AI nodes covering LLMs, embeddings, vector databases, speech-to-text, and image generation. Its native LangChain integration lets you build multi-step AI agents with memory, tool calling, and conditional reasoning entirely within the workflow canvas. For teams building AI agents that research, classify, generate content, or make decisions, n8n is currently unmatched.
Zapier democratized AI access with Zapier Agents (now out of beta) and AI Copilot, which builds workflows from plain English descriptions. It's the most approachable for non-technical users, but less flexible for complex agent workflows.
Make offers Maia, an AI assistant that generates scenario drafts from natural language, plus an AI Toolkit that lets you connect OpenAI, Anthropic, or custom LLMs as modules within scenarios. It sits in the middle: more AI flexibility than Zapier, less depth than n8n.
At RefractedAI, we build AI agent workflows for clients across multiple industries. We typically use n8n for complex, multi-system automations where AI decision-making is involved, and Make or Zapier for simpler workflows where speed of deployment matters more than customization depth.
What About Integrations and Ease of Use?
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| Integrations | 9,000+ | 3,000+ | 500-1,000+ |
| Ease of use | Easiest (minutes to learn) | Medium (weekend to learn) | Steepest (weeks to get productive) |
| Visual editor | Linear steps | 2D canvas with branching | Node graph (code-friendly) |
| Error handling | Email alerts on failure | Per-module error routing | Dedicated error workflows with retry |
| Self-hosting | No | No | Yes, free Community Edition |
| AI capabilities | AI Agents, Copilot | Maia AI, AI Toolkit | 70+ AI nodes, LangChain native |
| Data privacy | Cloud only | Cloud only, GDPR-compliant (EU-based) | Full control with self-hosted |
| Best for | Non-technical teams | Visual thinkers, mid-complexity | Developers, regulated industries |
Integration coverage matters most when your stack includes niche or industry-specific tools. Zapier's 9,000+ app directory covers almost everything. Make's 3,000+ app catalog handles mainstream B2B tools well, with roughly 1,500 to 2,000 of those built natively by the Make team. n8n has fewer native connectors, but its HTTP Request node and custom code nodes can connect to any service with an API.
Ease of use is often the deciding factor. If no one on your team has technical experience, Zapier's simplicity wins even at a higher price. Non-technical users typically take 2 to 4 days to get productive with Zapier, versus 2 to 4 weeks with n8n.
When Does Self-Hosting Make Sense?
Only n8n offers self-hosting. The Community Edition runs free on any server with Docker, with no execution caps. A basic VPS from DigitalOcean or Hetzner costs $5 to $20 per month and handles most SMB workloads.
Self-hosting makes sense in three situations:
- Data privacy requirements. If your business handles medical records, financial data, or legal documents, keeping automation data on your own servers may be a compliance requirement. Self-hosted n8n means your data never touches a third-party cloud.
- High-volume cost savings. At 50,000 executions per month, self-hosted n8n costs about $50 per month versus $1,500+ on Zapier. The savings compound every month.
- Polling-heavy workflows. If your automations need to check for updates frequently (price monitors, social listening, inventory checks), self-hosted n8n runs these for free. On Zapier or Make, frequent polling burns through monthly limits fast.
The honest trade-off: self-hosting requires someone who can manage a server, handle SSL certificates, configure OAuth, and run updates. Budget 4 to 8 hours for initial setup and 1 to 2 hours per month for maintenance. If nobody on your team has those skills, the time cost can exceed what you'd pay for a managed platform.
Which Should You Choose?
Most businesses follow a predictable progression: start with Zapier (fast, accessible), move to Make when complexity and cost force an upgrade, then adopt n8n when data compliance or scale economics become the priority. You can save time and money by starting with the right tool.
Choose Zapier if: You have no technical staff, you need automations running today (not next week), your workflows are simple trigger-action pairs, and your monthly volume stays under 5,000 tasks.
Choose Make if: You need multi-step workflows with conditional logic, you want a visual builder without the complexity of self-hosting, and you're running 5,000 to 50,000 operations per month. Make is the best value for most small businesses.
Choose n8n if: You have at least one technically comfortable team member, you're building AI agent workflows, data privacy requires self-hosting, or you're running high-volume automations where per-task pricing is becoming expensive.
How RefractedAI Helps
Choosing the platform is only part of the problem. Building automations that actually work in production, integrating them with your existing systems, and handling the edge cases that surface after go-live: that's where most businesses get stuck.
Our team at RefractedAI builds automation systems across all three platforms. We specialize in AI agent workflows that go beyond simple app connections, with cross-industry experience in logistics, customs brokerage, and professional services. Our clients typically see 60+ hours per month saved, with systems delivered in under 2 months.
We start every engagement with a free discovery call to understand your business processes. If there's a fit, our $500 paid audit maps your workflows, recommends the right tools, and provides a detailed implementation plan. That $500 is credited toward your setup cost if you move forward. We're a team of 2, which means you work directly with us, not a rotating cast of junior consultants.
Key Takeaways
- Zapier is easiest to use with 9,000+ integrations, but costs 5 to 15 times more than n8n at scale
- Make offers the best balance of visual workflow building and price for most SMBs at $9 per month for 10,000 operations
- n8n is the only platform that supports self-hosting, offering unlimited executions on a $5 to $20 per month server
- Billing models differ significantly: Zapier charges per task (each step), Make per operation (each module), n8n per execution (each full workflow run)
- n8n leads on AI capabilities with 70+ native AI nodes and LangChain integration
- For data-sensitive industries (healthcare, finance, legal), n8n's self-hosting is often the only compliant option
- RefractedAI helps businesses choose the right platform and builds production-ready automations across all three tools
For more resources on AI automation, visit our public repository: RefractedAI Public

