For solo founders, agencies, and lean digital operators, choosing between n8n and Make (formerly Integromat) is one of the most consequential software infrastructure decisions you will make. Both platforms offer visual workflow canvas builders, hundreds of app integrations, and webhook triggers—but their pricing economics and execution limits diverge sharply as your data volume expands.
The Core Structural Difference
The primary distinction between the two platforms lies in hosting architecture and billing philosophy:
- Make: A 100% cloud-hosted iPaaS (Integration Platform as a Service). You pay per operation. Every single step, filter, router branch, and HTTP module in a scenario counts against your monthly operations quota.
- n8n: Built as a source-available, fair-code workflow orchestrator. It offers both a fully managed cloud tier (billed per workflow execution, regardless of how many steps run inside) and an open-source Docker version that you can self-host on a $5–$20/month VPS with zero execution limits.
Pricing Breakdown: Operations vs. Workflow Executions
Understanding this mathematical difference is critical for cost planning:
Scenario: 1,000 Complex Automation Runs / Month
Suppose your workflow ingests an incoming webhook, loops through 15 data records, calls an AI model API, filters results, and writes to a database (average 20 steps per run):
- On Make: 1,000 runs × 20 operations = 20,000 operations. This pushes you past Make’s starter plan ($9/mo for 10k ops) directly into the Pro tier.
- On n8n Cloud: 1,000 runs = 1,000 executions. This fits comfortably inside n8n’s starter tier (2,500 executions/month for €20/mo).
- On Self-Hosted n8n: $5.00/month flat on a Hetzner or DigitalOcean droplet, whether you run 1,000 or 100,000 operations.
Strengths & Weaknesses
Make: Where It Wins
- Zero DevOps: Completely managed cloud. No Docker updates, database backups, or server maintenance.
- Pre-Built Community Apps: Over 1,500 native app connectors with intuitive OAuth handling.
- Superior Visual Debugger: Outstanding execution history inspector with step-by-step variable inspection.
n8n: Where It Wins
- Code-Level Control: Native JavaScript / TypeScript nodes let you write custom data transforms effortlessly without paying extra.
- AI Agent Framework: First-class integration with LangChain, autonomous agents, vector stores, and OpenAI/Anthropic tool calling.
- Infinite Scalability on Self-Hosted: No per-operation tax on high-frequency webhooks or heavy loops.
The AWL Verdict
Choose Make if: You are non-technical, want zero server maintenance, and run low-frequency, high-value workflows (e.g. CRM syncing, form alerts, client notifications).
Choose n8n if: You are building high-volume data pipelines, AI agent workflows, or content automation where loop operations would make Make prohibitively expensive.
