n8n vs Zapier vs Make – Workflow Automation Platforms Compared for Mid-Market Companies

Choosing between n8n, Zapier and Make is not about the “best” tool but the best fit for your processes, data protection requirements and budget. All three platforms automate recurring tasks, connect applications and save manual work – but with very different philosophies. Zapier focuses on maximum simplicity and a huge connector library, Make on visual modelling of complex scenarios, n8n on data sovereignty and technical depth.

For mid-market companies in Germany, GDPR is often the decisive criterion. As soon as personal or sensitive business data is processed, n8n's self-hostable architecture is a strong argument: data does not leave your infrastructure and you keep full control over storage locations and access. Make and Zapier also offer compliance features but move processing into their respective clouds – here, the data processing agreement and data location must be checked carefully.

The cost logic also differs significantly. Zapier bills per task, which is cheap for a few automations but quickly becomes a cost trap at high volume. Make bills operations-based and scales more predictably. n8n mainly causes hosting and operating costs, so it is often the most economical at large volumes – but it needs setup and maintenance know-how, which we cover as a managed service.

In practice, we recommend starting with the concrete use case: which systems should be connected, how sensitive is the data, how high is the expected volume and who maintains the automation long-term? These answers almost always lead to a clear recommendation. Often a combination makes sense – Make for business workflows, n8n for data-sensitive core processes. For business-critical processes with high load, a real API integration beats pure SaaS automation. We advise you vendor-neutrally and support selection, migration and operation.