When businesses choose an automation platform, they optimise for the wrong things. They compare pricing tiers and connector counts and read blog posts written by affiliates who earn commission on every Zapier referral. They should be comparing reliability, error handling, and what happens when something breaks at 2am on a Sunday. After 500+ deployments across all three platforms, here is our honest assessment, with the caveats that matter.
Zapier wins on speed to first working workflow. The editor is the most polished, the connector library is the largest, and a non-technical operator can have a working two-step Zap running in under ten minutes. It is the right tool for simple, high-value integrations with mainstream SaaS tools: HubSpot to Slack, Typeform to Google Sheets, Calendly to CRM. Where Zapier loses is cost at scale and customization depth. At 50,000+ tasks per month, Zapier's pricing becomes difficult to justify against alternatives. And for workflows that require conditional logic beyond simple if/then branching, iterating over arrays, or calling custom webhooks with dynamic authentication, Zapier's editor becomes a constraint rather than an enabler.
Make (formerly Integromat) is our recommendation for complex, multi-step workflows on a budget. The visual editor is more powerful than Zapier's, it handles iterators, aggregators, error routes, and custom modules with considerably less friction. Pricing is dramatically more favorable at volume: Make's operations model consistently comes in at 3-5x lower cost than Zapier for equivalent workflow complexity. The trade-off is steeper learning curve and a more fragmented connector experience. Make's native connectors are fewer, and the community-built modules vary significantly in reliability.
n8n is the platform PURIST recommends for clients who have serious automation requirements and are committed to treating their workflows as infrastructure. Self-hosted n8n eliminates per-operation pricing entirely, the cost is infrastructure, not usage. The workflow engine is the most capable of the three: sub-workflows, code nodes (JavaScript and Python), custom credential types, and an API that allows programmatic workflow management. The error handling capabilities are unmatched, every node has configurable error routing, and n8n's execution log provides the granular debugging data that Make and Zapier hide from you. The constraint is operational overhead: a self-hosted n8n instance requires infrastructure management, security hardening, and update management. For clients who want n8n's power without the ops burden, PURIST maintains managed n8n instances as part of our service offering. The right platform is not universal, it depends on your team's technical depth, your workflow complexity, and your anticipated volume. We deploy on all three because forcing every client onto a single platform would mean building the wrong thing. If you are unsure which platform fits your requirements, book a free technical audit and we will scope the right stack for your business.
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The PURIST editorial team covers automation, AI agents, and operations strategy for businesses scaling with n8n, Make, and Claude AI.