AI Agents 10 min read

n8n vs Make.com for Business Automation: An Honest Comparison

Comparing n8n and Make.com for small business workflow automation — pricing, integrations, learning curve, self-hosting, and which one to choose for your use case.

A
Aumlytics Team
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When businesses come to us asking about AI automation, the first question is rarely about AI — it’s about orchestration. How do you connect your tools? How do you build workflows that actually run reliably? How do you do it without writing a full application from scratch?

Two platforms dominate this space for small and mid-sized businesses: n8n and Make.com (formerly Integromat). Both are dramatically more powerful than Zapier for complex automations. But they’re built on different philosophies, and the wrong choice will cost you weeks of rebuilding.

This is an honest comparison based on building production automations for clients on both platforms.

What They Are

n8n is an open-source workflow automation tool. You can run it yourself (self-hosted on your own server) or use their cloud version. It’s code-friendly — you can drop JavaScript directly into any node — and has become the platform of choice for automations that involve AI, APIs, and custom logic.

Make.com is a cloud-only visual workflow builder (formerly Integromat, acquired and rebranded in 2022). It’s more polished visually, has a steeper free tier, and is slightly more accessible for non-developers. It invented many of the visual automation concepts that other platforms copied.

Neither is Zapier. Zapier is simple, expensive, and linear (one trigger → one action chains). Both n8n and Make support branching, looping, error handling, and complex multi-step logic that Zapier simply can’t do.

Pricing Comparison

n8n

PlanPriceExecutionsNotes
Self-hosted (Community)FreeUnlimitedHost on your own server
Cloud Starter$20/mo2,500/mo5 active workflows
Cloud Pro$50/mo10,000/moUnlimited workflows
Cloud EnterpriseCustomCustomSSO, audit logs

The self-hosted option is genuinely free — no execution limits, no feature restrictions. You pay for your server ($5–20/mo on DigitalOcean or Railway).

Make.com

PlanPriceOperationsNotes
Free$01,000/mo2 active scenarios
Core$10.59/mo10,000/moUnlimited scenarios
Pro$18.82/mo10,000/mo + featuresFull error handling
Teams$34.12/mo10,000/moCollaboration

Make counts operations — each module that processes data counts as one operation. A 10-step workflow uses 10 operations per run. This means 10,000 operations/month = 1,000 runs of a 10-step workflow. It adds up faster than you’d expect.

Cost reality: For similar functionality, n8n self-hosted is significantly cheaper. Make.com cloud is cheaper than n8n cloud at entry level but becomes expensive for high-volume automations.

Integrations

Make.com: 1,500+ Native Apps

Make has more native integrations. If your workflow involves mainstream SaaS tools (Salesforce, HubSpot, Notion, Airtable, Slack, Gmail, Shopify), Make almost certainly has a polished, no-config connector.

Notable strengths:

  • Excellent Airtable, Notion, and Google Workspace support
  • Shopify integration is well-maintained
  • Social media platforms (Instagram, LinkedIn, TikTok)
  • More accounting software (QuickBooks, Xero, FreshBooks)

n8n: 350+ Native Nodes + Code Everywhere

n8n has fewer native integrations but compensates with powerful flexibility:

  • HTTP Request node — call any REST API with full control over headers, body, auth
  • Code node — drop JavaScript (or Python in newer versions) directly into your workflow
  • AI/LLM nodes — native OpenAI, Anthropic, Google Gemini, Ollama integration
  • Webhook node — expose your workflow as an HTTP endpoint

For AI integrations specifically, n8n is ahead. It has dedicated nodes for:

  • LangChain agents
  • Vector stores (Pinecone, Qdrant, Weaviate)
  • AI memory and retrieval
  • Custom AI tools that your agents can call

Ease of Use

Make.com: More Beginner-Friendly

Make’s visual interface is genuinely excellent. The canvas-based workflow editor is intuitive, error messages are clear, and the data mapping UI (clicking on a field and selecting from previous outputs) is the best in class.

For non-developers, Make is the better starting point. If your team doesn’t write code and your automations are connecting SaaS tools without custom logic, Make’s polish pays off.

n8n: More Flexible, More Complex

n8n has a steeper learning curve. The node editor is functional but not as polished as Make’s. Data structures are more explicit — you often need to understand JSON paths to map data correctly.

However, once past the learning curve, n8n is dramatically more flexible. The code node alone solves things that would require expensive workarounds in Make:

// n8n Code node example:
// Transform and filter order data before sending to Slack
const orders = $input.all().map(item => item.json);

const highValueOrders = orders.filter(order => order.total > 500);

return highValueOrders.map(order => ({
  json: {
    message: `High-value order: ${order.name} — $${order.total}`,
    customer: order.customer.email,
    items: order.line_items.map(i => i.title).join(', '),
  }
}));

AI and LLM Integration

This is where n8n wins clearly for 2025 use cases.

n8n AI Capabilities

n8n has built-in support for the entire LangChain stack:

  • AI Agent node — create agents that can use tools, search, call APIs, and reason through multi-step problems
  • Chat node — conversational interfaces powered by any LLM
  • Memory nodes — window buffer memory, conversation history, vector store memory
  • Tool nodes — give your AI agent the ability to search the web, query a database, send emails
  • Embeddings — create and query vector embeddings for RAG (Retrieval Augmented Generation)

Example: Building a customer support AI agent in n8n that:

  1. Receives an email via webhook
  2. Searches your product FAQ knowledge base (vector store)
  3. Uses Claude to draft a response
  4. Routes to human if confidence is below threshold
  5. Sends the response via Gmail

This entire workflow takes about 20 nodes in n8n and runs reliably at scale.

Make.com AI Capabilities

Make has OpenAI modules (chat completions, embeddings, image generation) but lacks the orchestration layer for true AI agents. You can call GPT-4 in a Make scenario, but building an agent that uses tools and reasons through problems requires complex workarounds.

Make is catching up, but for serious AI agent workflows in 2025, n8n is the better platform.

Self-Hosting: n8n’s Key Advantage

For businesses with data privacy requirements, n8n self-hosting is significant.

When you self-host n8n:

  • Your data never leaves your infrastructure
  • Workflow history, credentials, and execution logs stay on your server
  • Compliance requirements (HIPAA, GDPR for data residency) are easier to meet
  • No vendor lock-in — the workflows are yours

Self-hosting n8n on Railway (5 minutes):

  1. Create a Railway account at railway.app
  2. Click Deploy n8n from Railway templates
  3. Set environment variables:
    • N8N_ENCRYPTION_KEY — random 32-char string
    • N8N_HOST — your Railway domain
    • N8N_PROTOCOL — https
  4. Deploy — Railway gives you a public URL

Or on a VPS with Docker:

# docker-compose.yml for n8n self-hosted
version: '3.8'
services:
  n8n:
    image: docker.n8nio/n8n:latest
    restart: always
    ports:
      - '5678:5678'
    environment:
      - N8N_HOST=n8n.yourcompany.com
      - N8N_PORT=5678
      - N8N_PROTOCOL=https
      - NODE_ENV=production
      - N8N_ENCRYPTION_KEY=your-secret-key
      - DB_TYPE=postgresdb
      - DB_POSTGRESDB_HOST=postgres
      - DB_POSTGRESDB_DATABASE=n8n
      - DB_POSTGRESDB_USER=n8n
      - DB_POSTGRESDB_PASSWORD=your-db-password
      - EXECUTIONS_DATA_SAVE_ON_SUCCESS=all
    volumes:
      - n8n_data:/home/node/.n8n
  postgres:
    image: postgres:15
    environment:
      - POSTGRES_DB=n8n
      - POSTGRES_USER=n8n
      - POSTGRES_PASSWORD=your-db-password
    volumes:
      - postgres_data:/var/lib/postgresql/data

volumes:
  n8n_data:
  postgres_data:

Make.com has no self-hosting option.

Error Handling

Make.com: Visual Error Handlers

Make has a dedicated error handler concept — you can right-click any module and add a “break handler” route that activates when that module fails. This is visually intuitive.

Make also has operations routing — you can specify what happens when data doesn’t match expectations (skip item, break, rollback, or follow error route).

n8n: Try/Catch and Error Workflows

n8n’s error handling is code-inspired. You can:

  • Set individual nodes to “Continue on Fail” (skip errors and continue)
  • Set a global error workflow that triggers when any execution fails
  • Use IF nodes to branch based on error conditions
  • Catch specific HTTP error codes in the HTTP Request node

For complex automation, n8n’s error workflow feature is powerful — you get a separate workflow that receives the error context and can send alerts, log to a database, or retry with different parameters.

Which Should You Choose?

Choose Make.com if:

  • Your team doesn’t write code
  • You’re connecting mainstream SaaS tools (HubSpot, Salesforce, Notion, Airtable)
  • You want the fastest time-to-first-automation
  • You run moderate volume (under 50,000 operations/month)
  • Visual clarity matters more than flexibility

Choose n8n if:

  • Your automations involve AI agents or LLM integration
  • You need self-hosting for data privacy
  • You have a developer on your team (or work with one)
  • Your workflows involve custom API integrations
  • Volume is high and cost matters (self-hosted = unlimited executions)
  • You want to avoid vendor lock-in

Our Recommendation for Most Clients

For businesses starting out with automation and connecting SaaS tools: Make.com. The free tier gives you enough to test, the interface is excellent, and you’ll get results quickly.

For businesses building AI agent workflows, integrating with custom APIs (like Amazon SP-API or Shopify Admin API), or who have data privacy requirements: n8n self-hosted.

We use n8n as our primary platform for client work — the code node and AI capabilities make complex workflows tractable without writing a full application. For one-off SaaS connections on simpler projects, we use Make.

Alternatives Worth Knowing

Zapier — Simple but expensive and limited. Fine for basic linear automations (form submission → email). Doesn’t scale.

Pipedream — Developer-focused, code-first. Excellent for API integrations, less visual. Good free tier.

ActivePieces — Open-source Make alternative. Growing fast, good UI, still maturing.

Temporal — For engineering teams building production-grade workflows. Not no-code.

Want help setting up your first automation workflow? We design and build n8n and Make.com automation systems that connect your existing tools and start saving you hours every week. Book a free consultation.

#n8n#make#automation#ai-agents#workflow#no-code#zapier

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