Artificial IntelligenceMay 2, 2026·17 min read

n8n vs Make vs Zapier 2026: honest technical comparison for businesses

Technical comparison n8n vs Make vs Zapier in 2026: real pricing, use cases, AI integrations, self-hosting and decision matrix by company type. No marketing, just data.

SM
SprintMarkt
Tech Team

If you have been automating business processes for a while, you already know these three. If you are starting out, in 2026 they are the three tools dominating the no-code/low-code automation market: n8n, Make (formerly Integromat) and Zapier. The question we get every week at SprintMarkt is always the same: 'which one do I use?'. Short answer — it depends. Long answer, with real data and concrete cases, is in this post.

TL;DR — Which to choose by use case

Small business/freelancer, simple automations: Zapier (easier, more expensive but removes friction)
Technical SMB, mid budget, complex workflows: Make (best price/power ratio)
Company with technical team or sensitive data: n8n (self-hostable, open source, no per-execution cost)
Heavy AI integration (LLMs, embeddings): n8n first, Make second, Zapier third
If you do not want to think and need something in 1 hour: Zapier always

At SprintMarkt we use self-hosted n8n for 95% of client projects, Zapier occasionally for clients without a tech team, and Make almost never (learning curve does not compensate vs n8n).

Quick comparison table (2026)

| Feature | n8n | Make | Zapier |

|---|---|---|---|

| **Model** | Open source + cloud | SaaS cloud | SaaS cloud |

| **Entry price** | Free (self-host) / €20/mo (cloud) | €9/mo | €19.99/mo |

| **Enterprise price** | €50-200/mo (self-host) | €29-299/mo | €73-799/mo |

| **Cost model** | Per active workflow | Per operation | Per task (more expensive) |

| **Native integrations** | 400+ | 1500+ | 6000+ |

| **Custom code** | JavaScript / Python native | JavaScript limited | Python/JS limited |

| **Unlimited webhooks** | Yes (self-host) | Paid plans only | Paid plans only |

| **Self-hosting** | ✅ Yes (Docker, Kubernetes) | ❌ No | ❌ No |

| **GDPR/EU data** | ✅ Total control | ⚠️ EU servers available | ⚠️ US servers default |

| **Learning curve** | Medium-high | Medium | Low |

| **Native LLM support** | ✅ Excellent (OpenAI/Claude/Anthropic nodes) | ✅ Good | 🟡 Basic |

| **Best for** | Devs/agencies, sensitive data | Marketing/ops | Fast onboarding, non-technical |

n8n — the technical pick of 2026

n8n (n8n.io) is open source under Sustainable Use License, with optional cloud. If your team has minimal technical knowledge, today it is the winning option in cost/power/flexibility.

**What n8n does well:**

Full self-hosting: spin it up on a €20/mo VPS and you get unlimited workflows. No per-execution cost.
Top-tier AI integrations: native nodes for OpenAI, Anthropic Claude, Hugging Face, Mistral, Ollama. Agentic workflows are native in 2026.
JavaScript/Python in any node: no separate plugins needed for custom logic.
Visual workflows but with accessible code: best of both worlds.
Self-hostable = real privacy: your data stays on your infrastructure.

**What n8n does poorly:**

- Steeper learning curve than Make or Zapier.

- Cloud version expensive vs Make (€20/mo for 5 active workflows).

- Smaller integration catalog (400+ vs Zapier's 6000+). Though enough for 95% of cases.

- Official documentation improving but still somewhat dry.

**When to choose n8n:**

- You have a developer or technical agency to set it up (10-20h initial work)

- You handle sensitive data (GDPR, healthcare, financial)

- Complex workflows with many conditional steps

- You want to use AI/LLMs intensively

- You will scale to >10,000 executions/month (where Make/Zapier become prohibitive)

Make (Integromat) — the price/power sweet spot

Make was Integromat until 2022. Today it is the middle option: more powerful than Zapier, easier than n8n, better price per operation than both.

**What Make does well:**

Per-operation pricing: 1,000 operations for €9/mo on Core plan. For low-mid volumes it is the cheapest.
Mature visual builder: the visual interface with data bubbles is exceptional for understanding complex flows.
Large catalog: 1,500+ native integrations, many more than n8n.
Advanced conditional execution: routers, filters, iterators, very powerful aggregators.
Good error handling: automatic retries, definable fallbacks.

**What Make does poorly:**

- Not self-hostable (vendor lock-in).

- LLM support still basic compared to n8n (limited nodes, less flexible config).

- Custom code limited to sandboxed JavaScript.

- If an operation fails a lot it consumes operations anyway.

**When to choose Make:**

- Operations per month <50,000 (where pricing scales best)

- Marketing/ops team without devs but with some technical comfort

- Complex visual workflows where UX matters

- You do not mind SaaS vendor lock-in

Zapier — the king of fast onboarding

Zapier is the oldest (2011), the most expensive and the easiest to use. If you need something running in 30 minutes with no prior knowledge, it remains the option.

**What Zapier does well:**

6,000+ native integrations: literally connects to everything. Niche apps no other has.
Ultra fast onboarding: 30 min and your first Zap is running.
Pre-built templates: for common use cases there are ready-to-clone Zaps.
Brutal documentation: tutorials, videos, guides for everything.
Real customer support: human, fast, in Spanish.

**What Zapier does poorly:**

Expensive per task: Starter plan (€19.99/mo) only gives 750 tasks. For real business you need Professional (€73/mo) or Team (€103/mo).
No self-hosting: .
Limited conditional logic: for complex workflows you fall short fast.
Restrictive custom code: 1MB RAM per code, 30 second timeout.
Anemic LLM support: basic OpenAI node, no native Claude, no embeddings.

**When to choose Zapier:**

- You are a freelancer or company <10 employees without a tech team

- Simple workflows (3-5 steps max)

- You need to integrate obscure apps (Toggl, Honeybook, Calendly + 50 more simultaneously)

- Budget is not a problem and you prefer to pay more for simplicity

- Volume <500 tasks/month

Real cost comparison with a concrete example

Imagine you automate this flow: customer buys on WooCommerce → contact created in HubSpot → transactional email sent from Brevo → message posted in internal Slack. That is 4 operations per sale. If you have 1,000 sales/month (4,000 operations):

**Zapier**:

- Professional plan needed (2,000 tasks/mo): €73/mo ❌ insufficient

- Team plan (50,000 tasks/mo): €103/mo ✅

Annual cost: €1,236

**Make**:

- Core plan (10,000 ops/mo): €9/mo ❌ insufficient

- Pro plan (10,000 ops/mo): €16/mo ✅

Annual cost: €192

**n8n**:

- Cloud Starter (2,500 executions/mo): €20/mo ❌ insufficient

- Cloud Pro (10,000 executions/mo): €50/mo ✅

- Or **self-hosted Hetzner VPS**: €4-8/mo for infinite workflows ✅✅

Annual cloud cost: €600
Annual self-hosted cost: €96: ⭐

Difference: Zapier is **13 times more expensive** than self-hosted n8n in this scenario. At scale, that gap multiplies.

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AI integration — the game-changing factor in 2026

Since LLMs are central in business (ChatGPT/Claude/Gemini), an automation tool is worth what its AI integration is worth. Here n8n wins without discussion:

**n8n**: native nodes for OpenAI (GPT-4o/5), Anthropic Claude (Sonnet 4.6, Haiku 4.5), Google Gemini, Mistral, Cohere, Hugging Face, Ollama (local). Specific nodes for embeddings, vector stores (Pinecone, Weaviate, pgvector), agents with conversational memory. Native tool use / function calling. **Complete agentic workflows without code.**

**Make**: nodes for OpenAI and Anthropic, but with less flexible config. Embeddings and vector stores require custom code. No native agentic nodes.

**Zapier**: basic OpenAI node for completion. No native Claude (as of April 2026). No embeddings. No vector stores. No structured tool use.

If your workflow includes 'pass this to Claude to decide what to do then execute the result', n8n does it in 5 minutes. Make in 1 hour with custom code. Zapier does not do it.

Real SprintMarkt cases with each tool

**Case 1 — WooCommerce client with self-hosted n8n** (MrCoolCat, craft beer)

Flow: new order → customer data enrichment via Claude (what beer type they prefer based on history) → personalized cross-sell email → Mailchimp tag → if VIP, manual WhatsApp message to founder.

Executions/month: ~1,200. Cost: €8 (Hetzner VPS). Same workflow in Zapier would cost ~€150/mo.

**Case 2 — Support ticket automation with Make** (B2B client)

Flow: ticket comes by email → Make classifies with OpenAI → if 'commercial' goes to Pipedrive, if 'technical' goes to Linear, if 'complaint' alerts CEO in Slack.

Operations/month: ~6,000. Cost: €16/mo Pro plan. Client without tech team, could not maintain self-hosted n8n.

**Case 3 — Freelancer onboarding with Zapier** (agency client)

Flow: new freelancer signs contract in HelloSign → Zapier creates Slack + Notion + Asana account + sends welcome pack.

Tasks/month: ~200. Cost: €19.99/mo Starter plan. The client wanted to manage it herself, without going through us for every change. Zapier was the only thing she could maintain alone.

Common mistakes when choosing

**Mistake 1: 'I start with Zapier because it is easiest, I will migrate later'**. Migrating Zapier workflows to n8n costs 3-5x more than building them in n8n directly from the start. If you will scale, start right.

**Mistake 2: 'I will self-host n8n to save'**. If you do not have a dev to maintain it, the VPS will crash in 6 months, you will lose workflows, you will spend 3 days rebuilding. Real cost: much more than Zapier.

**Mistake 3: 'Make is best because it is cheapest'**. It is cheapest up to 50,000 ops/mo. Above that self-hosted n8n is much cheaper. If you expect to grow fast, calculate at 12 months out.

**Mistake 4: 'I do not need AI in my automations'**. In 2026 this is like saying in 2010 that you do not need APIs. In 12-24 months you will rebuild everything. Better start with an AI-first tool (n8n).

Final decision: 4-quadrant matrix

We built this matrix at SprintMarkt to decide quickly on each project:

**Is your team technical (has 1+ dev)?**

- YES + sensitive data → **self-hosted n8n**

- YES + no privacy requirements → **n8n cloud or Make**

- NO + complex workflows → **Make**

- NO + simple workflows → **Zapier**

**Do you need intensive AI (>30% of workflow)?**

- YES → **n8n** without discussion

- Sort of → **n8n or Make**

- No → any works

**Monthly operations volume?**

- <500 → **Zapier OK** (simpler, more expensive but bearable)

- 500 - 10,000 → **Make** (best ratio)

- 10,000 - 100,000 → **n8n cloud** (scales better)

- >100,000 → **self-hosted n8n** (only reasonable cost option)

If you have a process you want to automate but are not sure which tool, we offer an automation audit for €490. We map your processes, identify what to automate first (always highest ROI), pick the right tool for your case and give a real investment range. No commitment to implement with us afterwards.

If you prefer to go all-in: self-hosted n8n implementations from €6,000 (includes server, monitoring, first 5 workflows). Monthly maintenance from €250/mo. We have done automations for clients in eCommerce, legal-tech, automotive and craft beer. Verifiable cases, not slides.

#n8n#Make#Zapier#automatización#no-code#comparativa#IA#workflows
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