n8n vs Make 2026: Self-Hosted Power or Visual Simplicity?
n8n vs Make is the comparison for people who already know Zapier's pricing hurts: both are visual workflow builders that handle real branching — they differ on hosting model, pricing structure, and how deep the power-user features go.
Both tested on the same workflows (lead pipelines, scraper orchestration, reporting). The honest difference is smaller than the forums suggest — and your answer probably comes down to two questions.
- Make: hosted-only, cheapest entry ($9-16/mo), fastest to first automation
- n8n: self-hostable (unlimited executions on your VPS) or Cloud from ~€20/mo — wins at volume
- Both handle branching/loops properly — the real difference is hosting and code-node depth
- Both plug Apify identically for the scraping layer — the platform choice does not change the data stack
The real difference in two questions
Question one: do you want to (or must you) self-host? If yes — n8n, done, conversation over; Make is cloud-only. Question two: is your volume high enough that per-operation pricing stings? At low volume Make is often cheaper to start; at scale n8n self-hosted is uncapped.
Everything else — canvas style, node names — is preference. Both express the same workflows.
Pricing: hosted convenience vs uncapped self-host
Make charges per operation: free tier (1,000 ops) for learning, ~$9-16/mo for real work — genuinely cheap at modest volume. n8n Cloud prices by executions from ~€20/mo; n8n self-hosted is unlimited executions on infrastructure you already pay for.
The crossover: a handful of daily workflows favors Make's cheap tiers; dozens of workflows, hourly cadences or big loops favor n8n self-hosted hard. See the full breakdown in n8n workflows and the Make tutorial.
Power features: n8n goes deeper
Both handle routers, loops and error branches — the things Zapier cannot. n8n extends further: code nodes (JavaScript/Python), version control on workflows, and self-hosting means credentials and data never leave your infrastructure.
For marketing automation both are ample; for data-heavy pipelines (scrape → transform → merge → route), n8n's code nodes eliminate dead ends Make occasionally hits.
Ease of use: Make is the gentler on-ramp
Make's canvas is prettier and the learning curve is friendlier — a marketer builds a working scenario in an afternoon with zero ops. n8n self-hosted adds infrastructure (a $10 VPS via Coolify or Docker — 10 minutes, but still your server to keep alive).
n8n Cloud removes the ops difference; then the trade is purely features-vs-price per plan.
The scraping layer: identical either way
Whichever you pick, the data stack is the same: Apify webhooks fire into either platform on scrape completion, and HTTP modules trigger runs both directions. Apify + n8n and the Make equivalent are the same pattern.
So choose the platform on hosting and pricing — the integrations do not decide this one.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
The decision
- Pick Make if: you want hosted simplicity, the cheapest real tier, and your volume is modest — the 30-minute first-automation experience
- Pick n8n if: you need self-hosting, run volume that makes per-operation pricing hurt, or want code nodes as an escape hatch
- Both beat Zapier at scale — if you are still deciding that fight, see n8n vs Zapier
Prototype in Make's free tier, productionize in n8n when volume or self-hosting becomes real — the workflows map 1:1, so learning transfers.
n8n vs Make resolves on hosting and volume: Make for cloud simplicity at low cost, n8n for self-hosted uncapped scale and deeper power features.
Both handle the real work — pick the model that fits your ops tolerance, and the scraping layer works identically on either.
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FAQ
Is n8n better than Make?
For self-hosting, volume economics and code flexibility: yes. For hosted simplicity and the cheapest entry tier: Make wins. Both handle complex branching Zapier cannot.
Is Make cheaper than n8n?
At low volume often yes (~$9-16/mo for real work). At high volume or with self-hosting, n8n wins — unlimited executions on your own server has no per-operation ceiling.
Can Make self-host?
No — Make is cloud-only. If data residency or self-hosting is required, n8n is the answer.
n8n vs Make for beginners?
Make — friendlier interface, fastest path to a working automation, no infrastructure. n8n is learnable in an afternoon but assumes more technical comfort.
Should I switch from Make to n8n?
Switch when you hit the wall: volume costs rising, a self-hosting requirement, or needing code-level transforms. Otherwise Make serves fine — migration is rebuild, not import.
Tools mentioned in this article
Affiliate links — we may earn a commission at no cost to you.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Alex Mercer
AI Marketing Strategist · 8+ years
Alex has tested 200+ AI marketing tools on real campaigns with $50,000+ in ad spend. He writes hands-on reviews based on actual usage data, not press kits. His work has helped 10,000+ marketers build AI automation stacks that generate real ROI.