n8n vs Make: Choosing the Right Automation Engine

IT‑Ops leaders love drag‑and‑drop automation-until the bill, the audit and the AI roadmap land on the same desk. When every additional operation or task costs extra, cloud limits collide with growth. Here’s how self‑hosted n8n beats Make (and Zapier) on cost, compliance and local AI extensibility.

The Problem

1. Hidden licence & usage costs

Make charges for every operation in a scenario. Even a simple three‑step flow can burn through thousands of operations each day. Core starts at $9 for 10 000 operations but scales quickly; Teams is $29 and Enterprise is custom pricing—all still per‑operation.
Zapier prices per task: $29.99/month for 750 tasks and up to $799 for 100 000 tasks - plus surcharges when you exceed the cap. Our Zapier cost teardown shows how quickly it escalates.
n8n Cloud starts at €20 for 2 500 workflow executions - unlimited steps, no premium nodes - or run the community edition free on your own server using n8n.

Zapier and Make route data through U.S. infrastructure. Trans‑atlantic data transfer, opaque sub‑processor chains and retention clauses turn every webhook into a compliance headache, as we detail in our GDPR‑safe local hosting guide.

3. Limited AI extensibility

Connecting GPT APIs means double billing (automation + tokens) and shipping sensitive payloads off‑prem. A single GPT‑4‑Turbo call can cost ≈ €30 in complex document workflows - see the numbers in our cloud vs local LLM cost comparison.

Our Solution — Governed n8n stack from S&S Technologies

Self‑host anywhere. Deploy n8n on-prem or in an EU cloud for full data residency.
Run local SLMs via Ollama. Follow our guide to put a 7 B model behind http://localhost:11434 and give n8n a native AI node - no external calls, < 120 ms latency.
Matrix42 connector. S&S maintains the Matrix42 node for n8n so you can raise, enrich and close tickets without scripting.
Governance baked‑in. RBAC, audit trails and versioned assets keep auditors happy while process‑mining dashboards surface KPIs.

How It Works

Spin‑up in minutes

# on a €10/month VPS
curl https://get.n8n.io | bash          # deploy n8n
curl -fsSL https://ollama.com/install.sh | sh  # deploy Ollama
ollama pull gemma:2-7b-it && ollama serve

Point the Ollama Model node at http://localhost:11434 - that’s it.

Side‑by‑side cost demo

Automation platform
- Zapier Pro (2 000 tasks): ≈ €49/mo
- Make Core (10 000 ops): ≈ €9/mo but spikes with loops
- n8n self‑host: €0 (+ €10 VPS)
AI inference
- Cloud GPT‑4‑Turbo: €30 per run
- Local SLM on RTX 3060: €0.02 per run (electricity) — see full benchmark

Net result: organisations running 20 000 daily operations plus 100 AI calls/month save five‑figure sums every quarter by switching to n8n + local SLMs.

Business Impact

30–50% faster cycle time and 60–70% fewer manual touches in service‑desk workflows
Up to 45 % overall efficiency gain once ERP and ITSM loops are fully automated.
10×–50× AI cost reduction; break‑even on a €2 000 AI Server in weeks to under three months — as prooven in the cost comparison.
GDPR peace‑of‑mind: zero cross‑border data movement; token‑level logs for Article 30 records — see our compliance deep‑dive.

Practical Next Steps

Audit current spend. Export usage from Zapier/Make and OpenAI; flag high‑volume flows.
Pilot locally. Follow our Ollama + n8n quick‑start on a spare workstation.
Extend with Matrix42. Install npm install n8n-nodes-matrix42 and intigrate yout ITSM System into your AI Agent Matrix42 Node.
Measure. Process‑mining nodes reveal cycle‑time and manual‑touch deltas.
Scale. Add fine‑tuned SLMs, RBAC tiers and dashboards.

Ready to cut costs, reclaim data sovereignty and supercharge automation? Contact our team.

Automate. Optimize. Scale.

Tags: workflow automation, n8n, AI agents, ITSM automation, governed automation

S&S Technologies GmbH • UID‑Nr: ATU 77676212 • FN 571385y (LG Salzburg)
Haspingerstraße 4, 5550 Radstadt, Salzburg, Austria