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n8n vs Zapier vs Make: How to Compare Automation Platforms

Compare integration fit, operating cost, hosting, licensing and maintenance—not unsupported platform rankings.

n8n vs Zapier vs Make: How to Compare Automation Platforms

Choose around the workflow

Zapier, Make and n8n can connect applications and coordinate workflows. The useful question is which meets the specific access, logic, review and operating requirements. A tool with more features is not automatically a better fit for a small, well-defined task.

Integration fit and maintainability

Check the exact connector and actions needed, not just whether the supplier’s logo appears in an integration directory. Test authentication, pagination, limits, duplicate handling and failures. Consider who will own the workflow after handover and whether that person can diagnose and safely change it.

Compare current plans using the same workload

Pricing, features and billable units change. Check the official Zapier pricing, Make pricing and n8n pricing against a representative workflow. Include retries, volume growth, premium connectors, AI usage, hosting and support. Do not assume a fixed cost ratio across platforms.

Self-hosting is not automatic data containment

n8n offers self-hosted and cloud options. Verify its current licence and features for the intended use; hosting, backups, updates and operations still have a cost. A self-hosted workflow calling a cloud model or external API sends information to that supplier. Check the actual data path, terms and settings rather than assuming all processing remains local or establishes compliance.

AI capability and a practical test

Compare the model connections, tool permissions, human approval and evaluation features needed for the task. Test the same representative and failure cases in the shortlisted setup. There is no universal winner on accuracy, price or flexibility, and this guide does not claim a measured split of Elevate projects across platforms. Choose a supportable configuration and retain a manual fallback.

What to agree before commissioning work

Start with a free fit discussion, then agree the scope, fee and deliverables of paid AI Consulting. The output is a prioritised, costed roadmap you own. Production implementation and ongoing support are separate decisions. You can use the roadmap with Elevate, your own team or an existing provider. The right recommendation may be a process change or native software rather than a build.

Inspect the engagement brief and fictional roadmap sample. See current pricing arrangements; this article is not a rate card.

A conversation is a good place to start

Make it useful for your business.

Talk through your priorities and explore whether AI Consulting or the Outbound Sales Engine is the right next step.

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