n8n vs Make: No-Code Automation Platforms Compared

n8n vs Make: Choosing the Right No-Code Automation Platform for Your Business

When your startup hits that inflection point where manual processes start eating into growth time, workflow automation becomes non-negotiable. The two platforms that consistently rise to the top of the conversation are n8n and Make—but they solve automation problems in fundamentally different ways.

This isn't a "one is better than the other" comparison. It's about finding the right fit for your team's technical capabilities, deployment preferences, and the complexity of workflows you're building. Let's break down what actually matters when choosing between these no-code automation platforms.

The Core Philosophy Difference

Before diving into features, understand the DNA of each platform:

n8n emerged from the open-source community with a "fair-code" license. It's built for teams who want control—over their data, their hosting environment, and the ability to extend functionality with custom code. Think of it as automation for people who aren't afraid of a terminal window.

Make (formerly Integromat) optimized for accessibility. It's a cloud-native, no-code automation platform designed so marketing managers, operations leads, and non-technical founders can build sophisticated workflows without touching code. The trade-off is less flexibility for edge cases.

What's the Key Difference Between n8n and Make?

n8n is open-source with a self-host option and code-friendly nodes that let developers write JavaScript or Python directly within workflows. Make is cloud-only with a polished visual builder and a significantly larger library of prebuilt app connectors—over 1,000 native modules compared to n8n's approximately 200+.

This distinction cascades into everything else: deployment flexibility, team requirements, pricing models, and the types of workflows you can realistically build without hitting walls.

Deployment: Self-Host vs Cloud-Only

This is often the first fork in the decision tree.

Can I Self-Host n8n?

Yes—and this is one of n8n's strongest selling points. The Community Edition can be installed on your own server via Docker, Kubernetes, or various hosting providers. For startups with data residency requirements, compliance concerns, or simply a preference for keeping automation infrastructure in-house, this matters significantly.

Self-hosting n8n means:

• Complete control over your data and execution environment
• No per-execution pricing—run unlimited workflows
• Ability to inspect and modify the underlying code
• Responsibility for maintenance, updates, and uptime

Make operates exclusively as a cloud service. There's no self-hosted option, which simplifies operations but means your workflow data lives on their infrastructure. For many SMBs, this is perfectly acceptable. For others—particularly those in regulated industries or with specific security requirements—it's a dealbreaker.

Technical Flexibility: Code Nodes vs Pure No-Code

Does Make Support Custom Code in Workflows?

No—Make is a pure no-code platform. When you need custom logic, you're limited to using webhooks to call external code services or building complex workarounds with Make's built-in modules. This works for most standard automation scenarios but can become frustrating when you hit edge cases.

n8n takes the opposite approach with dedicated JavaScript and Python code nodes. Need to parse a weird API response format? Transform data in a non-standard way? Run calculations that don't fit prebuilt modules? Drop in a code node and write exactly what you need.

This extensibility extends beyond code nodes. n8n's open-source nature means you can:

• Create custom nodes for internal tools or niche APIs
• Modify existing node behavior
• Contribute back to the community repository
• Fork and maintain your own version if needed

Integration Libraries: Breadth vs Depth

The workflow automation comparison often comes down to which apps you need to connect.

Make's connector library is genuinely impressive—over 1,000 native modules covering CRM systems, marketing platforms, finance tools, project management, and more. Each module is typically well-documented with clear input/output options. For teams using mainstream SaaS tools, Make likely has prebuilt connections ready to go.

n8n's approach is different. With roughly 200+ nodes (growing through community contributions), the raw number is smaller. However, n8n compensates with:

• HTTP Request nodes that can connect to any API
• Code nodes for custom integration logic
• Community-contributed nodes for niche tools
• The ability to build and share your own nodes

If you're integrating Shopify, HubSpot, Slack, and Google Sheets, both platforms handle it well. If you need to connect to a proprietary internal API or a specialized industry tool, n8n gives you more pathways to make it work.

Which Is Cheaper: n8n or Make?

Both platforms offer free tiers, but they're structured very differently.

n8n Pricing Structure

• Community Edition: Completely free when self-hosted, with no execution limits
• Cloud plans: Starting at €20/month, including managed hosting and enterprise features
• Hidden costs to consider: If self-hosting, factor in server costs, maintenance time, and DevOps overhead

Make Pricing Structure

• Free tier: Usage-capped with limited operations and execution history
• Paid plans: Starting at $9/month with higher operation counts and advanced features
• Scaling costs: Operations are metered, so high-volume workflows can get expensive

For the self-hosted n8n vs cloud Make cost comparison, the answer depends heavily on your volume and technical resources. A startup running thousands of daily automations might find n8n's unlimited self-hosted model dramatically cheaper. A small team running occasional workflows might find Make's $9/month entry point more economical than maintaining infrastructure.

Which Platform Is Better for Technical Teams?

Technical teams consistently lean toward n8n for several reasons:

• Extensibility: Code nodes, custom node development, API-first design
• Open-source transparency: Ability to audit, modify, and contribute to the codebase
• Self-hosting: Infrastructure control and data sovereignty
• Version control friendly: Workflows can be exported and managed via GitOps
• AI/ML integrations: Native nodes for OpenAI and other AI services

Non-technical teams and mixed-skill organizations often prefer Make because:

• Lower learning curve: Polished, intuitive visual builder
• Zero infrastructure management: Cloud-native means no DevOps required
• Ready-to-use templates: Marketplace of prebuilt scenarios to clone and customize
• Consistent UI/UX: Same experience for every connector

Decision Framework: Choosing Between n8n and Make

Rather than a simple "pick this one," walk through these decision points:

Choose n8n if:

• You need self-hosting for data residency, compliance, or security requirements
• Your team includes developers comfortable with JavaScript/Python
• You're building workflows requiring custom logic or niche API integrations
• You want to avoid vendor lock-in with an open-source foundation
• You're running high-volume automations where per-operation pricing becomes costly
• You value the ability to inspect and modify platform code

Choose Make if:

• Your automation team is primarily non-technical (marketing, ops, business users)
• You need quick setup without infrastructure management overhead
• The tools you're connecting are mainstream SaaS apps with Make modules
• You prefer polished UI/UX over maximum flexibility
• Your workflow volume fits comfortably within Make's pricing tiers
• You want access to a large template library for rapid deployment

Real-World Use Cases: How Each Platform Handles Common Scenarios

E-commerce Order Processing

With n8n: Deploy on Docker, configure a Shopify webhook trigger, use a code node to filter high-value orders by custom criteria, route to Slack with formatted messages. Version control your workflow in Git.

With Make: Create a scenario with the Shopify module, add a filter router for order value thresholds, connect to Slack module, optionally store order history in Make's built-in data stores.

Lead Capture to Email Sequences

With n8n: HTTP trigger receives form submission, Airtable node stores the lead, wait node handles timing, SMTP node sends personalized emails via custom templates you control.

With Make: Webhook captures the lead, Google Sheets or CRM module stores it, Mailchimp module handles email delivery, iterator manages follow-up sequences.

CRM to Data Warehouse Sync

With n8n: HubSpot node pulls contacts, PostgreSQL node handles inserts/updates, error handling node catches failures, Slack alert on issues.

With Make: HubSpot module extracts data, BigQuery module writes to warehouse, router handles insert vs update logic based on record existence.

Frequently Asked Questions

Is n8n truly free?

The self-hosted Community Edition is free with no execution limits. You pay for server infrastructure if you're not hosting locally. n8n Cloud, which includes managed hosting and additional features, starts at €20/month.

Can I migrate workflows between n8n and Make?

Not directly—they use different workflow formats and node structures. Migration requires rebuilding workflows in the new platform, though the logic typically translates.

Which has better error handling?

Both platforms offer solid error handling. Make includes built-in error handlers with retry logic and data stores for failed operations. n8n provides error trigger nodes and workflow-level error handling, with more programmatic control via code nodes.

What about AI integrations?

n8n has native nodes for OpenAI and other AI services, making it straightforward to build chatbots, content generators, or AI-augmented workflows. Make offers AI modules as well, though the approach is more structured within their no-code paradigm.

Which is better for startups specifically?

The best low-code automation for startups depends on your team composition. Technical founding teams often gravitate toward n8n for its flexibility and cost structure at scale. Non-technical founders or those wanting to move fast without infrastructure concerns typically find Make gets them productive faster.

The Bottom Line

This workflow automation comparison ultimately comes down to a fundamental trade-off: flexibility versus accessibility.

n8n gives you more control at the cost of complexity. It's the right choice when you have technical resources, need self-hosting, or anticipate building workflows that push beyond what prebuilt modules can handle.

Make optimizes for getting automations running quickly with minimal technical overhead. It's the right choice when your team is non-technical, your integration needs are mainstream, and you value polish over extensibility.

Neither platform is universally "better"—they're solving automation problems for different audiences with different constraints. Match the tool to your team's reality, not to what sounds impressive on paper.