Make vs n8n: Which Automation Platform Is Better in 2026?

Two automation platforms dominate the conversation for teams that have outgrown Zapier: Make (formerly Integromat) and n8n. Both let you build complex, multi-step workflows that connect your apps — but they're built for completely different users, budgets, and risk appetites.

This comparison breaks down everything that matters: pricing mechanics, ease of use, self-hosting, AI support, and who should use what.

Quick Comparison: Make vs n8n

What Is Make?

Make (formerly Integromat) is a cloud-based visual automation platform. You build "scenarios" by dragging and connecting modules on a canvas — each module is an action like "get a row from Google Sheets" or "create a HubSpot contact."

What makes Make stand out from Zapier is depth. You can branch logic, loop through items, filter data, and transform it without writing a single line of code. The visual interface shows exactly how data moves between steps, which makes debugging much easier.

Make is ideal for: Marketing ops teams, agencies managing client workflows, e-commerce teams, and anyone who wants real power without touching code.

What Is n8n?

n8n (pronounced "n-eight-n") is an open-source workflow automation platform. You connect apps with a node-based interface, but the big difference is that you can drop into JavaScript or Python code at any step — and you can run the whole thing on your own server.

The open-source model means no vendor lock-in. If n8n ever changes pricing or shuts down, you own your workflows. That's a real advantage for companies with sensitive data or strict compliance needs.

n8n is ideal for: Developers, technical teams, companies with data privacy requirements, and anyone running high-volume automations that would be expensive on per-step pricing.

Pricing: Where the Real Differences Are

Make Pricing (2026)

Make shifted to a credit-based billing model in August 2025. For most non-AI workflows, 1 credit = 1 operation (each module execution).

The catch: Each step in a workflow counts as a separate credit. A 5-step scenario that runs 200 times uses 1,000 credits — not 200. Run a 10-step e-commerce workflow 200 times per day and you'll blow through 60,000 credits monthly, well above the Core plan's 10,000 base.

For complex workflows at volume, costs escalate quickly. A lead enrichment pipeline with 6 steps and 100 leads/day burns roughly 18,000 credits/month — requiring add-on credit packs on top of your subscription.

n8n Pricing (2026)

n8n's key pricing advantage: they charge per execution (one full workflow run), not per step.

That same 10-step e-commerce workflow running 200 times/day? On n8n, that's 200 executions/day — about 6,000/month. The Pro plan at $60/month covers it easily. On Make, you'd be looking at $50–70/month in overages.

Self-hosting caveat: While the Community edition is free, you're paying in infrastructure ($20–200+/month depending on scale) and maintenance time. For teams without DevOps resources, self-hosting often costs more than it saves.

Ease of Use

This is where Make wins decisively for most users.

Make's interface is polished and beginner-friendly. The visual canvas shows your entire scenario at a glance. Error messages are clear, the debugger shows input/output at each step, and most users can build their first workflow in under an hour.

n8n's interface is more technical. The node editor is powerful but less intuitive. Setting up self-hosting requires comfort with Docker or cloud infrastructure. Debugging complex flows takes more expertise. For non-technical users, the learning curve is significantly steeper.

If you're a marketer, founder, or ops person without engineering support, Make will get you moving faster. If you're a developer who wants fine-grained control, n8n's technical depth is worth the investment.

Integration Library

Make: 2,000+ integrations. This is a major advantage. Make has native connectors for nearly every SaaS tool, with maintained integrations that stay up to date.

n8n: 1,500+ integrations. The official integrations library lists 1,500+ connectors, including native nodes, community-built integrations, and the HTTP Request node for any REST API. JavaScript code nodes can handle anything programmatically beyond that.

For teams using common SaaS tools (HubSpot, Salesforce, Shopify, Slack), Make's integration library is more likely to have exactly what you need out of the box.

AI & Automation Features

Both platforms have moved to support AI-powered workflows, but they take different approaches.

Make offers built-in AI modules — connectors for OpenAI, Anthropic Claude, and Google Gemini. You can add AI steps visually without writing code. The credit system applies: AI-heavy workflows consume more credits, so costs can escalate with AI usage.

n8n supports AI through LangChain integrations, custom AI agent nodes, and direct API connections to any AI provider. For developers building complex AI pipelines — multi-step agent workflows, RAG systems, custom model routing — n8n's code-first approach is more flexible.

If you want to add a simple "summarize this email with GPT-4" step to a workflow, Make is faster. If you're building a multi-agent pipeline with custom business logic, n8n gives you the control you need.

Data Privacy & Compliance

This is n8n's strongest differentiator.

With Make, all your workflow data passes through Make's servers. They're SOC 2 and GDPR compliant, but you have no control over data residency or how it's processed. For most SMBs, this is fine.

With n8n self-hosted, your data never leaves your infrastructure. For companies in healthcare (HIPAA), finance, legal, or any industry with strict data governance requirements, self-hosting on your own servers is a significant advantage.

If your workflows touch customer PII, financial records, or regulated data, n8n's self-hosting option may be non-negotiable.

Who Should Use Make?

Choose Make if you:

• Don't have engineering resources — Make's visual builder requires no code
• Use common SaaS tools — its 2,000+ integrations cover most stacks
• Run moderate-volume, moderate-complexity workflows — the per-op cost makes sense at lower scale
• Want managed infrastructure — no servers to maintain
• Are a non-technical marketer or ops person — the learning curve is gentle

Real-world fit: A marketing team syncing leads from Facebook ads to HubSpot, enriching them, and notifying Slack. 50 leads/day, 5-step scenario. Make costs under $15/month and takes an hour to set up.

Who Should Use n8n?

Choose n8n if you:

• Have engineering resources — someone comfortable with infrastructure and code
• Need self-hosting — data privacy, compliance, or cost reasons
• Run high-volume, complex workflows — per-execution pricing saves money at scale
• Want full customization — JavaScript/Python nodes, custom integrations, open-source extensibility
• Build AI-heavy automation pipelines — complex agent workflows, custom logic

Real-world fit: A SaaS company syncing 10,000 orders/day across fulfillment, analytics, and CRM systems. n8n self-hosted costs $50–100/month in infrastructure and handles unlimited executions. The same volume on Make would cost $200–500/month.

Make vs n8n: Verdict

Make wins for non-technical teams who want to automate quickly without managing servers. The visual interface, massive integration library, and managed hosting make it the fastest path from "I want to automate this" to "it's working."

n8n wins for technical teams who need control, customization, or cost efficiency at scale. The per-execution pricing model dramatically reduces costs for complex, high-volume workflows. Self-hosting gives you data sovereignty that Make can't offer.

The choice comes down to a single question: do you have engineering resources? If yes, n8n's cost and flexibility advantages compound over time. If no, Make gets you there faster.

Not sure which to start with? See our Make vs Zapier comparison for the full automation market context, or read our n8n Review 2026 for a deeper dive into n8n's capabilities.

Frequently Asked Questions

Is n8n free? The self-hosted Community edition is free, but you'll pay for server infrastructure ($20–200+/month). n8n Cloud starts at $24/month.

Is Make cheaper than n8n? At low volumes, yes — Make's Core plan at $10.59/month is cheaper than n8n's $24 Starter. At higher volumes with complex workflows, n8n's per-execution pricing is significantly cheaper.

Can non-technical users use n8n? With the cloud version, yes — though it has a steeper learning curve than Make. Self-hosting requires infrastructure expertise.

Does Make have a free plan? Yes. The free tier includes 1,000 credits/month — enough to test and run very light workflows.

Which is better for AI workflows? n8n for complex AI pipelines requiring custom code and logic. Make for simpler AI augmentation using pre-built modules.