Article
n8n vs Make: Which Automation Tool Is Right for You?
Automation is no longer a luxury — it's a necessity. Whether you're running a startup, freelancing, or managing IT operations, automating repetitive tasks saves time, reduces error, and unlocks scalability. Two standout tools in this space are n8n and Make (formerly Integromat). Each has its strengths, but they cater to different audiences. This guide breaks down everything you need to know to choose the right one.
Quick Comparison: n8n vs Make
| Feature | n8n | Make (Integromat) |
|---|---|---|
| Hosting | Self-host or Cloud | Cloud only |
| Open Source | Yes | No |
| Free Tier | Free (self-hosted) or 5 workflows on cloud | 1,000 operations/month free |
| Code Customization | Full JavaScript / Python in any node | Basic JS expressions in fields |
| Visual Builder | Yes (node-based canvas) | Yes (linear scenario builder) |
| Integrations | 400+ native + any API via HTTP node | 1,500+ prebuilt apps |
| AI Agent Support | Built-in LLM/AI agent nodes | OpenAI via integrations |
| Pricing Model | Per workflow execution | Per operation (each action = 1 op) |
| Data Privacy | Full control when self-hosted | Data on Make's servers |
| Team Collaboration | Basic (improving) | Advanced roles and teams |
🚀 Favorite Workflow Tool: Try n8n Now
What Is n8n?
n8n is an open-source workflow automation platform that lets you connect apps, APIs, and services using a visual node-based editor. You can self-host it for free on any server or use their cloud version. With full JavaScript execution, HTTP requests, environment variables, and AI agent nodes, it's built for developers and technical teams who want maximum flexibility and control.
n8n Core Highlights
- Open-source with a permissive fair-code license
- 400+ native integrations and growing
- Full JavaScript and Python execution inside workflows
- Built-in AI agent framework for LLM-powered automation
- Total data ownership when self-hosted
- Export workflows as JSON for version control
What Is Make?
Make (formerly Integromat) is a cloud-based visual automation platform with a polished scenario builder and over 1,500 prebuilt app integrations. It's designed for business users, marketers, and operations teams who need to automate quickly without writing code. Make is particularly strong for teams who want robust error handling, monitoring dashboards, and collaboration tools out of the box.
Make Core Highlights
- Fully cloud-hosted — no infrastructure to manage
- 1,500+ integrations and a large template library
- Linear drag-and-drop scenario builder
- Excellent built-in error handling and execution logs
- Team roles, workspaces, and collaboration tools
- Strong data transformation tools (aggregators, iterators, routers)
Pricing Deep Dive: n8n vs Make (2026)
Make Pricing
Make charges per operation — each action a scenario performs counts as one operation. A scenario that checks Gmail, filters a result, and posts to Slack uses 3 operations per run.
| Plan | Price | Operations/Month | Interval |
|---|---|---|---|
| Free | $0 | 1,000 | 15-min minimum |
| Core | $9/mo | 10,000 | 5-min minimum |
| Pro | $16/mo | 10,000 | 1-min minimum |
| Teams | $29/mo | 10,000 | 1-min + team features |
| Enterprise | Custom | Unlimited | Real-time + SSO |
Additional operations beyond your plan allowance cost roughly $9 per 10,000 on the Core plan. High-volume users will find these costs add up quickly.
n8n Pricing
| Option | Price | Executions | Notes |
|---|---|---|---|
| Self-hosted (Community) | Free | Unlimited | Requires your own server |
| Cloud Starter | $20/mo | 2,500/mo | Managed hosting |
| Cloud Pro | $50/mo | 10,000/mo | Priority support |
| Enterprise | Custom | Unlimited | SSO, audit logs, SLA |
For high-volume automation, self-hosted n8n is by far the most cost-effective option on the market. A $6/month DigitalOcean Droplet can run unlimited n8n workflows with no per-execution fees.
Error Handling and Debugging
Make has historically had the stronger built-in error handling. Its execution history is detailed, you can retry individual failed operations, and the scenario editor shows exactly where a run failed with full data snapshots. It also supports error routes — dedicated paths that trigger when a module fails.
n8n has improved significantly in this area. It now includes error workflows, execution logging, and the ability to inspect the input/output of every node. For developers comfortable with logs, n8n's error handling is sufficient. For non-technical teams, Make's visual error management is easier to work with.
AI Automation Capabilities
n8n has invested heavily in AI tooling. It includes native AI Agent nodes that integrate with OpenAI, Anthropic Claude, Google Gemini, and open-source models — with support for tool calling, memory chains, and structured outputs. You can build multi-step AI pipelines where agents call other workflows or external APIs as tools.
Make can connect to OpenAI and other AI services via its existing integration modules. It works, but it's a more manual assembly process compared to n8n's purpose-built AI nodes. For teams building real AI automation infrastructure, n8n is the more capable platform.
Pros and Cons Summary
n8n Pros
- Free and open source with unlimited executions (self-hosted)
- Full JavaScript/Python scripting inside workflows
- Built-in AI agent nodes and LLM integrations
- Complete data privacy control
- Version-controllable (export as JSON)
n8n Cons
- Requires technical setup if self-hosting
- Smaller native integration library than Make
- Learning curve for non-developers
- Team collaboration features still maturing
Make Pros
- Very user-friendly with guided scenario builder
- 1,500+ integrations and template library
- Excellent built-in error handling and monitoring
- Strong team collaboration and role management
- No infrastructure to manage
Make Cons
- Operation-based pricing becomes expensive at scale
- Cloud-only — no self-hosting option
- Limited custom code capabilities
- Vendor lock-in and data privacy concerns
Use Case Recommendations
Choose n8n if you:
- Want self-hosting to eliminate per-execution costs
- Need to integrate custom or internal APIs
- Care deeply about data privacy and compliance
- Are building AI-powered automation pipelines
- Are a developer or have developers on your team
Choose Make if you:
- Want fast, no-code setup with a polished UI
- Rely on mainstream SaaS tools with prebuilt connectors
- Need robust error monitoring without writing code
- Have a non-technical team that needs to edit workflows
- Need strong team collaboration and workspace features
🚀 Try n8n for Free: Get n8n Now
Frequently Asked Questions
Is n8n really free?
The self-hosted Community Edition is free with no execution limits. n8n Cloud plans start at $20/month for a managed experience without running a server.
Does Make offer unlimited automations?
No. Make's pricing is based on operations. Each action inside a scenario counts as one operation, and you pay based on monthly volume. Going over your plan limit incurs additional charges.
Can I move workflows between n8n and Make?
There is no direct migration tool between the two platforms. Workflows must be rebuilt. However, most Make scenarios can be recreated in n8n within a similar amount of time, especially if you're familiar with both tools.
Which is more scalable?
n8n is more scalable from a cost perspective — self-hosted n8n has no execution limits. Make can handle technical scale but becomes expensive at high operation volumes.
Is Make easier for non-technical users?
Yes. Make's linear scenario builder, template library, and guided error handling are more accessible for non-developers. n8n's canvas is more powerful but takes longer to get comfortable with.
Final Verdict
- n8n is ideal for technical users, developers, and teams that need deep control, custom code, AI pipelines, or private deployments. The self-hosted option delivers unmatched economics for high-volume automation.
- Make is perfect for business teams and non-technical users who want polished tooling, rich integrations, and strong support without managing infrastructure.
Still unsure? Both offer free tiers — try building the same workflow in each and see which fits your team's working style. The right tool is the one your team will actually use and maintain.
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