n8n vs Make (2026): Which Workflow Automation Tool Actually Scales?
A head-to-head comparison of n8n and Make (formerly Integromat) — pricing, features, scalability, hosting options, and which one to choose in 2026.
TL;DR: n8n wins for developers and teams who need self-hosting, complex logic, and privacy. Make wins for business users who want the fastest time-to-value with a polished UI. Pick based on your team’s technical depth and compliance needs.
Overview
Both n8n and Make let you connect apps and automate workflows without writing traditional code — but they approach the problem from opposite directions. n8n is open-source with a developer-first philosophy; Make is a polished SaaS platform built for business users.
Quick comparison:
| Dimension | n8n | Make |
|---|---|---|
| Type | Open-source (fair-code licensed) | Proprietary SaaS |
| Hosting | Self-hosted or cloud (n8n.cloud) | Cloud only |
| Starting price | Free (self-hosted) / $20/user/mo (cloud) | From $9/mo (Starter) / $29/user/mo (Teams) |
| Operations | Unlimited (self-hosted) | 10K-50K ops/mo on mid tiers, extra $5/10K |
| Key integration | 600+ nodes (community + official) | 3,000+ pre-built connectors |
| Custom code | JavaScript + Python nodes built-in | Limited to code module and webhooks |
| AI features | AI nodes, vector store, LLM integrations | AI tools module (new, limited) |
| Best for | Developers, DevOps, compliance-heavy teams | Business ops, marketing, non-technical teams |
What n8n Does Well
Self-hosting. n8n runs anywhere — Docker, Kubernetes, Raspberry Pi, or bare metal. Your data stays on your infrastructure. This is a hard requirement for regulated industries (healthcare, finance, government) where data cannot leave the network.
Custom nodes. You can write custom JavaScript or Python nodes in minutes. If an integration doesn’t exist yet, you can build it without waiting for the vendor. The community has contributed hundreds of additional nodes (n8n integrations).
Complex workflow logic. Native support for loops (splitInBatches), conditional branches (IF node), error handling with retry, sub-workflows, and error workflows. n8n treats automation like code — you can version control your workflows with Git.
Scales to zero cost. Self-hosted = unlimited executions. The only cost is your server, which runs as low as $5-10/month on a VPS or $0 on an existing machine. [1]
AI-first development. n8n has native nodes for OpenAI, Anthropic, Ollama, LangChain, Pinecone, and vector stores. You can build AI agents, RAG pipelines, and LLM-powered workflows entirely in the visual editor.
What Make Does Well
Time to value. Sign up, pick from thousands of templates, customize in 15 minutes. No infrastructure setup, no Docker, no server management.
Visual builder. Make’s scenario editor is genuinely excellent. Workflows render as clear visual maps with routers (conditional logic), iterators, and aggregators. Non-technical team members can read, modify, and debug workflows without developer handholding.
Integration breadth. Thousands of pre-built connectors means you rarely need to build custom integrations. Most popular SaaS tools have a maintained connector — Slack, Google Workspace, HubSpot, Salesforce, Shopify, and many more.
Monitoring built in. Scenario history with execution logs, error alerts via email/Slack, and a dashboard for all your automations. No need to set up separate observability.
Where Each Falls Short
n8n’s Pain Points
- Steeper learning curve. The visual builder is functional but not as polished as Make’s. Non-technical users need training or developer support.
- Fewer templates. The template library is growing (1,000+) but Make’s is 10x larger.
- Self-hosting requires operations knowledge. You need to understand Docker, backups, and server maintenance.
Make’s Limitations
- Operations costs scale linearly. At $29/user/month you get 10,000 operations. A busy e-commerce workflow can burn through that in a week. Additional operations cost $5 per 10,000. [2]
- No self-hosting. Your data lives on Make’s servers. For GDPR, HIPAA, or SOC2 compliance, this can be a dealbreaker.
- Limited custom logic. Error handling exists but isn’t as granular as n8n’s. Complex data transformations require JavaScript code in text fields instead of proper code editor.
- Vendor lock-in. Workflows are tied to Make’s platform. Migration to another tool requires rebuilding from scratch.
Real-World Use Cases
n8n Shines For
- Internal tooling at a fintech startup — Self-hosted n8n processes high-volume transactions with Plaid, Stripe, and QuickBooks integrations. Self-hosted cost can be as low as a small VPS. A Make equivalent at similar volume would cost significantly more.
- AI agent pipeline — n8n connects OpenAI to a vector database for RAG, then routes results to Slack and Notion. Custom Python nodes handle data transformation that Make can’t easily replicate.
Make Shines For
- Marketing automation stack — A 5-person marketing team connects Google Ads, HubSpot, Mailchimp, and Salesforce. Non-technical team members build and maintain the workflows. n8n would require a developer.
- E-commerce order processing — Shopify orders trigger fulfillment in ShipStation, inventory updates in Zoho, and Slack notifications to the team. At moderate volume this fits comfortably in Make’s mid-tier plans.
Verdict
The gap between these tools has narrowed in 2026. n8n has improved its node library and AI capabilities; Make has added better error handling and code steps.
Choose n8n if:
- You need self-hosting for compliance or privacy
- Your team has developers or technical ops
- You run high-volume automation (10K+ operations/month)
- You want to avoid vendor lock-in
- You’re building AI agents or RAG pipelines
Choose Make if:
- You’re a business user without coding skills
- Speed of implementation matters more than cost optimization
- Your operations volume is moderate (< 10K/month)
- You want built-in error handling and monitoring
Final take
The right tool depends on who will maintain the workflow. If a developer maintains it → n8n. If an operations person does → Make. The wrong choice costs more in migration pain than the subscription difference ever will.
Sources: n8n pricing page, Make pricing page, n8n vs Make comparison on Hatchworks, Make vs n8n for e-commerce on Neura Market
📖 Related Reads
- n8n for Business: Complete Guide — The pillar guide covering everything n8n
- n8n for Sales Automation — Lead enrichment, follow-ups, and CRM sync
- n8n for Customer Support Workflows — Auto-triage tickets, Slack alerts, knowledge base sync
- n8n for Finance & Operations — Invoice processing, expense tracking, and reporting
- Build a No-Code RAG Pipeline with n8n — Complete step-by-step RAG tutorial
References
- [1] (citation needed)
- [2] (citation needed)
Reviews are independent and based on hands-on testing. Some links may be affiliate links — we earn a commission if you purchase, at no extra cost to you. This never affects our recommendations.