n8n, Make or Zapier – which automation tool is right for you?

n8n, Make or Zapier: the differences at a glance

All three platforms follow the same basic principle: a trigger, such as a new inquiry through the contact form, starts a chain of actions – for example, creating the contact in the CRM, preparing a quote and notifying the sales team. Zapier thinks in linear steps and is optimized for simplicity. Make presents workflows as freely branching scenarios on a canvas. n8n also works visually, but opens the door to custom code at any point.

This leads to different target groups. Zapier is aimed at business departments that want quick results without IT. Make appeals to users who are willing to get to grips with data structures and receive more control in return. n8n is the tool for teams with technical know-how or external support that run automation as a permanent part of their IT landscape – including their own infrastructure, versioning and connections to internal systems.

Costs: why the billing logic matters more than the entry price

With automation tools, what matters is less the monthly price of a plan than what gets counted. Zapier charges every executed action as a task, Make counts every module call in a scenario, and n8n in the cloud bills per workflow execution – regardless of how many steps the workflow contains. A workflow with many steps that runs very frequently can therefore cause very different costs depending on the tool.

All three offer a free way to start: Zapier and Make with limited free plans, n8n through the self-hosted Community Edition. With self-hosting, execution fees disappear, but server costs and operating effort come into play. So run your most important workflows through all the options with realistic volumes before you commit – switching later means rebuilding every workflow.

Running n8n locally or in the cloud?

n8n is the only one of the three tools that you can host yourself – on your own server, in your cloud environment or via Docker in a data center. The advantage: customer data, receipts and internal information never leave your infrastructure, and internal systems without public access can be connected directly. For testing, a local installation on your computer is enough; in production, n8n should run on a permanently reachable, secured server.

Self-hosting means responsibility: updates, backups, access protection, monitoring and scaling all have to be taken care of. If you can't handle that in-house, use n8n Cloud or have a service provider take over operations, including installing security updates. If you're looking for a free n8n alternative to host yourself, you'll find open-source projects such as Activepieces or Node-RED – with a smaller feature set and a different focus, respectively.

Data privacy and GDPR: what to watch for

Automations often transport personal data – names, email addresses, orders or job applications. For each tool you therefore need a data processing agreement and clarity about where data is processed. With Zapier, processing takes place mostly in the US, which requires a sound legal basis for the data transfer. Make allows data storage in an EU region, and self-hosted n8n offers the greatest control.

Just as important as the storage location is how the workflows are designed: pass on only the data you need, manage credentials centrally and encrypted, and regularly delete logs containing personal content. For AI steps in particular, it should be clear which content goes to which language model. These notes do not replace legal advice, but they help you ask the right questions of providers and data protection officers.