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Automation

Zapier vs Make vs n8n vs Gumloop

A practical comparison of four automation tools for teams that have outgrown simple no-code triggers and need a stronger workflow layer.

Compare the options

All Automation
Automation
4.6Freemium

Zapier

Zapier now makes more sense as an AI orchestration platform than a simple integration service. Zaps, Tables, Forms, Zapier MCP, plus Agents and Chatbots all sit in one product for teams that want workflows, structured data, and AI actions without maintaining their own automation stack.

A strong default when the goal is to connect tools quickly without building a deeper workflow layer.

Automation
4.4Freemium

Make (Integromat)

Make is a visual-first automation platform where the whole scenario lives on one canvas and pricing is now built around credits. It works best once simple trigger-action recipes stop being enough and you need branching, routing, Grid-level visibility, or AI agents connected to the rest of the workflow. Teams usually choose it when they want to automate real work without losing sight of how the process runs.

A good fit for teams that want a visual canvas and more flexible branching logic.

Automation
4.1Open Source

n8n

n8n is an automation platform for teams that want both a visual editor and real infrastructure control. The current product story leans hard into unlimited users, unlimited workflows, and pricing by workflow executions instead of charging for every step. It fits teams that want to start quickly in the cloud or move serious automations onto their own VPS once no-code alone stops being enough.

Worth choosing when infrastructure control, self-hosting, and a developer-friendly setup matter.

Automation
4.5Freemium

Gumloop

Start here

Gumloop is a no-code builder for AI automations and agents. Teams stitch together LLM steps, scraping, browser actions, APIs, and spreadsheets into working flows without standing up a heavy orchestration stack.

The most interesting pick here when the workflow is built around AI agents, research flows, and multi-step LLM processes.

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