n8n vs Make.com vs Zapier — which platform fits?

Zapier has the largest app library of any automation platform — over 6,000 native integrations spanning CRMs, email marketing tools, and niche industry software. For teams that need to connect a wide variety of SaaS tools without writing code, it remains the fastest path from idea to working automation. The linear trigger-action builder is learnable in minutes, which makes it the default for operations teams, marketers, and founders who want to automate without hiring a developer.

Beyond workflows, Zapier Tables and Interfaces let teams build lightweight dashboards, intake forms, and approval flows inside the platform — no separate no-code app builder required. For small teams managing fewer than 20 workflows, the value is genuine and the setup time minimal.

The main drawback is cost at scale. Zapier bills per task, and each step in a multi-step workflow counts separately: a five-step Zap running 1,000 times a month consumes 5,000 tasks. High-volume teams routinely spend $200–$600 per month for workloads that cost a fraction on Make.com or run free on self-hosted n8n. The linear builder also caps complexity — Paths and Filters help, but they do not match a true canvas.

Make.com (formerly Integromat) uses a visual canvas where workflows branch, route, iterate, aggregate, and handle errors on a single drag-and-drop map. Scenarios split into parallel branches, loop through arrays, and merge results — well suited to multi-channel order fulfillment, conditional lead routing, and batch data transformation.

Pricing is the strongest advantage. Make bills per operation and includes far more volume per dollar: the $10.59/month Core plan covers 10,000 operations, and for equivalent workloads Make typically runs 60–80% cheaper than Zapier. Native functions for parsing JSON, manipulating arrays, and formatting dates save the daisy-chained steps Zapier would need.

The trade-offs: a steeper learning curve than Zapier — visual programming takes getting used to — and a smaller library at roughly 1,500 integrations, so you will occasionally reach for the HTTP module to call an API directly. For teams with moderate technical comfort, rarely a dealbreaker.

n8n is the only major platform you can self-host entirely on your own infrastructure. Deployed via Docker or Kubernetes, self-hosted n8n eliminates per-execution fees — a $20/month VPS handles workloads that would cost hundreds on Zapier or Make. A managed cloud option starts at $24/month for teams that want the feature set without the ops.

Where n8n separates itself is AI. Dedicated nodes connect to LLMs from OpenAI, Anthropic, and Google; vector databases like Pinecone and Qdrant plug in directly; and multi-step AI agent workflows are orchestrated in the visual builder. That makes it the strongest choice for intelligent document processing, support bots, content pipelines, and RAG systems.

Extensibility seals it for technical teams: custom nodes in TypeScript, a code node supporting JavaScript and Python, and a fair-code license that lets you inspect and extend the source. The cost is setup and maintenance overhead — someone needs to be comfortable with Docker, reverse proxies, SSL, and database backups, or you bring in a managed hosting partner.