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n8n vs Make

The same facts the Atlas reads for every tool, side by side, each with its page and date. No winner: which fits depends on the job.

Where they differcomputed from the facts below

Where they differ

n8n≈ 144K
Make≈ 432.5K

visits a month · estimate · log scale

  • 3×Make gets about 3× the visits of n8n.visit estimates, read 2026-09-17
  • $9Make starts lower: $9/mo against $20/mo.pricing pages, read 2026-09-17 and 2026-09-20
  • FreeBoth have a free plan.pricing pages, read 2026-09-17 and 2026-09-20
n8nMake

Price & plans

Price & plansn8nMake
PriceFree plan · From $20/mopricing page, read 2026-09-17Free plan · From $9/mopricing page, read 2026-09-20
Free planYespricing page, read 2026-09-17Yespricing page, read 2026-09-20
Paid plans from$20/mopricing page, read 2026-09-17$9/mopricing page, read 2026-09-20
Free trialfree trialpricing pagenot on their pricing page
Paying yearlysave 17% yearlypricing pagenot on their pricing page

Who it's for & what it does

Who it's for & what it doesn8nMake
What it isBuilds and deploys automation workflows combining visual and code interfaces with AI agent capabilities and 500+ integrations.Connects apps and data sources to build automations and AI agents visually or by prompt.
ForTechnical teams building AI agents and automating business workflowsTeams and organizations building visual automation workflows and AI agents
What people do with it
  • Build AI agents with traceable reasoning and human oversight
  • Automate data movement and transformation between apps
  • Convert natural language into API calls and workflows
  • automate repetitive tasks across 3000+ connected apps
  • build AI agents that orchestrate complex workflows
  • streamline marketing, sales, and operations processes
How it runsRun it yourself · APIHosted only · No-code
ShelfAutomationAutomation

Use & momentum

Use & momentumn8nMake
UseWidely usedWidely used
Visits≈ 144k visits/moestimate, read 2026-09-17≈ 432k visits/moestimate, read 2026-09-17
Activitynot read yetActively maintainedrelease yesterday · site updated yesterday

Your data & compliance

Your data & compliancen8nMake
Trains AI on your dataNotheir wordsnot read yet
CertificationsSOC 2 Type II · GDPRtheir wordsnot read yet
Trust centerSafeBasetrust centernot read yet
Privacy policy updated2026-09-28privacy policynot read yet

For developers: API & MCP

Not read for either tool yet. The weekly sweep fills this in as it reaches them.

The company

The companyn8nMake
Run byn8n GmbHprivacy policynot read yet
Founded2019per Wikidatanot on record
Domain sincenot on record1997domain registered
HeadquartersBerlinper Wikidatanot on record
Questions this page answers
  • What is the difference between n8n and Make?

    n8n: Builds and deploys automation workflows combining visual and code interfaces with AI agent capabilities and 500+ integrations. Make: Connects apps and data sources to build automations and AI agents visually or by prompt.

  • Which is cheaper, n8n or Make?

    n8n starts at $20/mo (pricing page, 2026-09-17); Make starts at $9/mo (pricing page, 2026-09-20). Plans and limits differ; both pages are linked above.

  • Which is more widely used, n8n or Make?

    n8n: about 144k visits/mo; Make: about 432k (estimates, 2026-09-17).

  • Do n8n or Make train AI on your data?

    n8n: no, in its own words: “We do not use personal data processed in connection with the Website or Services, including data from third-party services or integrations, to train n8n or third party machine learning (ML) models.” Make: its pages do not say plainly.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.