Make vs n8n: An Honest Comparison for Production Automation

At Creative Codes, we build automation workflows with both Make and n8n depending on what a client needs. The "which one should I use?" question comes up constantly, and the honest answer is: it depends on your use case, not on which tool has a longer feature list. This post is what we actually tell clients.

The setup

Make (formerly Integromat) and n8n are both visual workflow automation platforms. Both connect to hundreds of services, both support conditional logic and loops, and both can trigger on webhooks, schedules, or events.

The differences that matter in production aren't the feature count — they're infrastructure model, data handling, error behavior, and what happens when things go wrong at 2am.

Ownership model

Make is cloud-only. You use Make's infrastructure, Make's servers, Make's data residency. Your workflow data passes through Make's systems.

n8n can be self-hosted or cloud. Self-hosted means your workflows run on your server, your data stays in your environment, and you control everything. This is not a minor distinction for clients handling sensitive data, PII, financial information, or anything with compliance requirements (GDPR, HIPAA, SOC 2).

At Creative Codes, we default to self-hosted n8n for any client with data sensitivity requirements. The ops overhead is minimal compared to the compliance headache of cloud-only.

Pricing model

Make: operation-based pricing. Every task (API call, data transformation, module execution) counts against your monthly operation limit. High-volume workflows get expensive fast. A workflow that processes 10,000 records and makes 3 API calls per record costs 30,000 operations.

n8n: subscription or self-hosted. Self-hosted n8n Community Edition is free with no execution limits. n8n cloud pricing is workflow-based, not execution-based. For high-volume automation, the cost difference can be an order of magnitude.

If your workflow runs thousands of times a day, this matters.

Error handling

This is where the gap between the two tools becomes most visible in production.

Make has error handling, but it requires adding error handler routes to modules manually. When a scenario fails mid-run, it stops and logs an error. You can configure retry attempts and basic error handling, but the patterns are less composable than n8n.

n8n has dedicated error workflow support. You can define a separate workflow that triggers on any failure in any other workflow, giving you centralized error handling across all your automations. We use this for Slack alerts, dead-letter queues, and automatic retry logic.

Main workflow fails 
  → Error trigger activates error workflow
  → Error workflow logs to database, sends Slack alert, queues retry
  → Retry workflow executes after exponential backoff

For production automations that can't miss events (lead notifications, payment triggers, data syncs), this error handling architecture is essential. It's cleaner to build in n8n.

Custom code

Make supports HTTP modules and basic data transformations. For custom logic, you're largely limited to Make's built-in functions.

n8n has a native Code node that runs JavaScript or Python directly. You can write arbitrary logic, import npm packages, call internal utilities, and implement complex transformations without needing a separate service.

This matters when your workflow needs to do something that isn't a standard integration: custom scoring logic, data transformation pipelines, proprietary API authentication schemes.

Integration depth

Make has a broader catalog of built-in connectors. If you need to connect to a niche SaaS tool without building a custom HTTP request, Make is more likely to have it.

n8n has 400+ built-in integrations. For the mainstream tools (Slack, HubSpot, Salesforce, Google Sheets, databases, email), both tools are comparable. For the long tail of niche integrations, Make has an edge.

In practice, we rarely hit this limit because most integrations we build use REST APIs via the HTTP node, not pre-built connectors.

Decision framework

| Criterion | Make | n8n | |-----------|------|-----| | Self-hosting | No | Yes | | Data residency control | No | Yes | | High-volume cost | High (per-operation) | Low (per-workflow or free) | | Error workflow architecture | Basic | Advanced | | Custom code | Limited | Full JS/Python | | Integration catalog breadth | Larger | Large | | Setup complexity | Low | Medium (self-hosted) | | Debugging tooling | Good | Good |

When to use Make:

• You need a quick integration between two standard SaaS tools
• Volume is low (under 10,000 operations/month)
• You don't have compliance requirements
• You want zero infrastructure management

When to use n8n:

• You need self-hosting for compliance or data residency
• Volume is high or growing (operation pricing will become expensive)
• You need custom logic in the workflow (Code node)
• You want centralized error handling across multiple workflows
• You're building for long-term scalability

How this relates to our earlier comparison

We covered the Zapier vs n8n vs custom code decision in n8n vs Zapier vs Custom Code: An Honest Comparison. Make sits between Zapier (simplest) and n8n (most powerful). If Zapier is the entry-level option and n8n is the production-grade option, Make is the middle ground: more powerful than Zapier, easier than self-hosted n8n, but with the same cloud-only limitations.

For clients who are outgrowing Zapier but aren't ready to self-host, Make is a reasonable intermediate step. But for anything we're building for production scale, we default to n8n.

If you're evaluating Make vs n8n for a specific use case, tell us what you're trying to automate and we'll tell you which tool fits.

Related: Building Production n8n Workflows: Architecture, Error Handling, Deployment

Workflow Automation services → | n8n Automation Development →