Skip to content
effecthub

Make vs n8n

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Higher Trust score
Make — 86 vs 75 for n8n
Best fit
Make: Operations and marketing teams wiring SaaS apps together with branching logic they can see · n8n: Technical teams that want to self-host automation with Docker, on-prem or air-gapped
Platforms
Make: Web · n8n: Web, Linux

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactMaken8n
CategoryWorkflow Automation PlatformsWorkflow Automation Platforms
Pricing modelFreemiumFreemium
Public APIYesYes
Trust score86 / 10075 / 100
PlatformsWeb, APIWeb, Linux, API
CompanyCelonis, Inc.n8n GmbH
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Make

Make is the visual automation tool for people who outgrow Zapier's straight lines and want routers, iterators and error handling on a canvas without running their own n8n. The credit model is the thing to understand before committing: most steps cost one credit, AI steps cost more and purchased top-ups expire, so a chatty scenario can burn a month's allowance in days. The MCP server and agents make it a reasonable home for assistant-driven automations, but they draw from the same credit pool.

Pros

  • Branching, iteration and error handling on a visual canvas, with routers and error handlers free of credits
  • 3,000+ native apps plus custom integrations for any API
  • AI agents with goals, tools, limits and visible reasoning, plus an MCP server for Claude, ChatGPT and Gemini
  • Free plan with 1,000 credits a month and SOC 2 Type II, SSO and audit logs on paid tiers

Cons

  • Plan prices are not readable without a browser session; the pricing page shows credits, not dollars, to fetchers
  • Credits expire at the end of the term and purchased extras expire sooner
  • AI-provider steps consume more than one credit, making agent-heavy scenarios hard to budget
  • No self-hosted option

n8n

The automation tool to pick when you want agents and integrations on one canvas and the option to run it on your own hardware; self-hosting from GitHub is the escape hatch Zapier and Make do not offer. Cloud pricing is per execution rather than per task, which rewards long workflows, but the monthly figures hide behind a toggle and the Business tier is a self-hosted licence at a very different price point.

Pros

  • Self-hosted Community Edition on GitHub under a fair-code licence, with 207k stars
  • Agent, model, MCP and RAG nodes alongside 500+ app integrations
  • JavaScript or Python at any step, with a canvas that traces agent reasoning
  • Execution-based cloud billing with unlimited steps per execution
  • Public REST API on all self-hosted editions and on cloud Starter and above

Cons

  • Cloud prices were shown only in euros and only as annual-billing figures
  • Business tier (€667 a month) is self-hosted only, with cloud availability on a waitlist
  • Fair-code licence is not OSI open source, which matters for some corporate policies
  • Forum-only support below Enterprise

Which one fits

Choose Make if you need

  • Operations and marketing teams wiring SaaS apps together with branching logic they can see
  • Builders who want AI agents and automations in one place, driven from Claude or ChatGPT through MCP
  • Companies that need SSO, audit logs and SOC 2 on a no-code automation tool

Choose n8n if you need

  • Technical teams that want to self-host automation with Docker, on-prem or air-gapped
  • Builders combining LLM agents, MCP tools and RAG with ordinary app integrations
  • Workflows with many steps, since billing counts executions rather than individual operations

Make vs n8n: the questions people ask

Does Make or n8n have a free tier?

Both: Make has a free tier, and n8n has a free tier.

Which has a public API, Make or n8n?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All Make alternatives →All n8n alternatives →Browse all Workflow Automation Platforms →