Make vs n8n: Developer-Focused Automation Comparison (2026)

Quick Answer: n8n is a source-available, self-hostable automation platform with custom node development, direct database access, and CLI-based workflow management. Make is a cloud-only visual automation builder with 2,000+ integrations and a polished UI but limited code extensibility. For developers needing self-hosting, VPN-internal service access, and infrastructure-as-code workflows, n8n is the stronger choice. Make is better for teams prioritizing visual workflow design and breadth of pre-built integrations.

Make vs n8n: A Developer-Focused Comparison

Make and n8n are both visual workflow automation platforms, but they serve different segments of the developer community. Make is a cloud-hosted, visual-first platform designed for speed and accessibility with optional code extensions. n8n is a source-available, self-hostable platform built with developers as the primary audience, offering deep code-level customization and full infrastructure control.

This comparison focuses specifically on developer-relevant capabilities: self-hosting, API access, custom code support, extensibility, and infrastructure considerations.

Developer Feature Comparison (as of March 2026)

Feature Make n8n
Self-hosting No (cloud-only) Yes (Docker, npm, Kubernetes)
Source code Proprietary Source-available (fair-code license)
Custom code nodes JavaScript modules within scenarios JavaScript/Python function nodes, custom n8n nodes
API access REST API for scenario management REST API + CLI for workflow management
Webhook handling Instant triggers, custom webhooks Webhook node, custom HTTP endpoints
Database access No direct database queries PostgreSQL, MySQL, MongoDB, Redis nodes
Custom node development Not supported Full SDK for building custom nodes (TypeScript)
Git integration No native git support Workflow version control via git (n8n CLI)
Environment variables Not supported natively Full environment variable support
Community extensions 2,000+ pre-built integrations 900+ community nodes + custom node SDK
Execution model Cloud-hosted, operations-based Self-hosted or cloud, execution-based

Self-Hosting and Infrastructure

The most significant difference for developers is self-hosting capability. n8n can be deployed on any infrastructure: a single Docker container on a VPS, a Kubernetes cluster, or the developer's local machine. This enables:

  • Data sovereignty: All workflow data stays within the organization's infrastructure
  • Network access: Self-hosted n8n can connect to internal services, databases, and APIs behind firewalls without exposing them to the internet
  • Cost control: A self-hosted n8n instance on a $20/month VPS can handle thousands of workflow executions with no per-execution charges
  • Customization: Modify n8n's source code, add custom authentication, or integrate with internal tooling

Make is cloud-only. All data flows through Make's servers. While Make provides SOC 2 compliance and GDPR controls, organizations with strict data residency requirements may find this limiting.

Custom Code and Extensibility

n8n provides deeper code integration:

  • Code node: Execute arbitrary JavaScript or Python within any workflow step
  • Custom nodes: Build reusable nodes using the n8n node SDK (TypeScript), publish to the community registry or install privately
  • Execute Command node: Run shell commands on the host system
  • HTTP Request node: Full control over HTTP requests including custom headers, authentication schemes, and response parsing

Make supports JavaScript within its code modules, but the execution environment is sandboxed with limited library access. Make does not support custom module development or direct system access.

API and CLI Access

Both platforms offer REST APIs, but their scope differs:

  • n8n API: Create, update, execute, and delete workflows; manage credentials; export/import workflows as JSON; manage tags and executions
  • n8n CLI: Deploy workflows from the command line, useful for CI/CD pipelines and infrastructure-as-code workflows
  • Make API: Manage scenarios, connections, and organizations; trigger scenario execution; retrieve execution logs

n8n's API and CLI combination enables treating workflows as code: storing them in git, deploying through CI/CD, and managing them alongside application infrastructure.

Pricing for Developers

Scenario Make Cost n8n Cost
Self-hosted, unlimited executions Not available $0 (community edition) + server costs ($10-50/mo typical)
Cloud, low volume (1,000 runs/mo) $9/mo (Core, 10,000 ops) Free tier (n8n Cloud)
Cloud, medium volume (10,000 runs/mo) $16/mo (Pro) $20/mo (Starter)
Cloud, high volume (100,000+ runs/mo) $299+/mo (Teams) Custom pricing or self-hosted

For developers running high-volume automations, n8n's self-hosted option eliminates per-execution pricing entirely. Make's operations-based pricing becomes expensive at scale for data-heavy workflows where a single scenario run may consume dozens of operations.

Community and Ecosystem

n8n's developer community is more active in node development: over 900 community-built nodes are available, and the node SDK documentation enables developers to build integrations for internal tools. Make's integration catalog is larger (2,000+ vs n8n's 400+ built-in + 900 community), but each integration is maintained by Make's team rather than being open for community contribution.

Editor's Note: We migrated a development team's automation stack from Make to self-hosted n8n. The primary driver was connecting to internal PostgreSQL databases and microservices behind a VPN that Make could not reach without exposing endpoints publicly. The migration of 23 workflows took 8 working days. Monthly hosting cost for n8n on a Hetzner VPS: $15/month (versus $49/month on Make Pro). The main trade-off: Make's visual builder is more polished and requires fewer clicks for common patterns. n8n's UI is functional but less refined. For a development team comfortable with YAML, Docker, and CLI tools, n8n's self-hosting and code extensibility outweighed Make's visual polish.

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Last updated: | By Rafal Fila

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