n8n vs Make: Which automation tool should you choose in 2026?

You want to automate your prospecting, lead qualification, or customer service — but you're torn between n8n and Make? You're not alone. This question comes up in 90% of first conversations I have with B2B executives wanting to get started with automation.

After deploying dozens of workflows for demanding B2B SMEs, here is my unfiltered field analysis.

Make (formerly Integromat): the tool that gets you running fast

Make revolutionized no-code automation by making visual workflows accessible to non-technical profiles. Its drag-and-drop interface is unmatched.

Make's Strengths

• Exceptional visual interface: scenarios are built like flowcharts, very readable for the whole team
• Massive integration catalog: 1,500+ natively connected applications (HubSpot, Notion, Slack, Gmail…)
• Intuitive debugging: every execution is visible in real time, with detailed history
• Gentle learning curve: operational in 2 days for a non-technical profile

Make's Weaknesses

• "Operations" pricing: every action counts as an operation. With significant volumes (>10,000 leads/month), the bill can quickly triple without warning
• Code limitations: as soon as you need complex logic (nested JSON manipulation, advanced loops), Make shows its limits
• Cloud dependency: your data passes through Celonis servers (Make's publisher), which can raise GDPR compliance questions

Who is Make for?

Make is ideal if you're starting out with automation, have moderate volumes, and your team is non-technical. It's an excellent tool for proofs of concept (PoC) and simple to mid-complexity workflows.

n8n: the power tool for experts

n8n is an open-source orchestration tool designed for technical profiles who want total control over their workflows. It's the backbone of all our Sales Machines.

n8n's Strengths

• Per-workflow pricing: regardless of the volume of data you process, you pay a fixed subscription (or nothing if self-hosting). For high volumes, this is a massive financial advantage
• Native JavaScript code: you can write and execute code directly in your workflows, without limits
• Self-hosting possible: deploy n8n on your own server (VPS, Hetzner, Railway…) for total privacy and native GDPR compliance
• Native AI Agents: n8n natively integrates "AI Agent" nodes that allow you to connect GPT-4o or Claude directly to your workflows
• Active community: thousands of freely shared templates and workflows

n8n's Weaknesses

• Steeper learning curve: expect 1 to 2 weeks to be truly comfortable if you don't have a technical background
• Less "beautiful" UI than Make: the interface is functional but less visually intuitive
• More complex debugging: errors on large workflows require more rigor to isolate

Who is n8n for?

n8n is the reference tool for teams that want to build robust, large-scale Sales Machines, integrate advanced AI Agents, and maintain total control over their data. It's our primary choice at AI French Touch.

Side-by-side comparison

How to choose based on your profile

You're a startup or SME just starting with automation → Start with Make. Learn the concepts, validate your workflows, then migrate to n8n when you scale in volume and complexity.

You already have existing workflows and want to industrialize them → Go directly to n8n. The financial and technical gain will be immediate at significant volumes.

You want to deploy AI Agents in your stack → n8n is the only real choice. Its native AI Agent nodes and compatibility with Claude Skills make it the reference AI orchestrator.

You handle sensitive data (health, finance, HR) → Self-hosted n8n guarantees native GDPR compliance with no compromises.

Our verdict: n8n for the long term

At AI French Touch, we build all our Sales Machines on n8n. Not out of dogmatism — because it's the only tool that supports the complexity of our workflows while remaining economically viable at scale.

It's actually the core of our n8n Expert Training: we teach you to build AI Agents and prospecting workflows from scratch, in real-world conditions.

Conclusion

Make or n8n? The honest answer: both have their place, but not at the same stage of your automation maturity. Make to learn and test, n8n to industrialize and scale.

Want us to analyze your current stack and advise you on the right path? Book a free strategy call — no commitment, 30 minutes.