Make vs n8n—The Wrong Choice Will Cost You

Key Concepts

• Automation Platforms: Make (Integromat) and n8n are both platforms for automating workflows and integrating different applications.
• Operations vs. Workflow Executions: Make charges per operation (each node execution), while n8n charges per workflow execution (entire automation run).
• Concurrent Executions: n8n limits the number of concurrent workflow executions, while Make allows unlimited concurrent executions on paid plans.
• Data Limits: Make has strict data transfer limits, while n8n does not track or charge for data transfer.
• Self-Hosting: n8n offers a Community Edition that can be self-hosted, removing usage limits but requiring server management.
• User Interface: Make has a more polished and user-friendly interface, while n8n has a more technical feel.
• Module Customization: n8n allows for more customization and control through JavaScript code, while Make relies on built-in functions.
• Webhooks: n8n offers more advanced webhook configuration options, such as test and production URLs and authentication.
• AI Adoption: n8n is currently moving faster in adopting AI features, particularly with its AI Agent module.

Pricing and Features

• Both Make and n8n offer tiered pricing plans (Starter, Pro, Enterprise) with increasing features and operation/execution limits.
• Both platforms allow users to select the number of operations/executions they want to purchase per month.
• Make: Charges per operation (each module execution).
• n8n: Charges per workflow execution (entire automation run).
• Starter Plan Limitations (n8n): Limited to five active workflows.
• Concurrent Execution Limits (n8n): Limited to five concurrent executions on lower tiers, upgradeable to 20.
• Data Limits (Make): Strict limits on data transfer and file sizes (5MB to 500MB depending on the tier).
• Community Edition (n8n): Free, self-hosted version with no usage limits but requires server management.
• Self-Hosting Considerations: While self-hosting n8n can be cheaper, it requires technical expertise to maintain the server.

User Interface and Experience

• Both platforms have similar navigation, with workflows/scenarios, templates, and credentials/connections.
• Make:
  • More visually appealing with colored modules and auto-alignment features.
  • More user-friendly for beginners.
• n8n:
  • More technical feel with a gray interface.
  • Requires more focus to identify modules at a glance.
  • Modules have inputs on the left and outputs on the right.

Technical Differences and Similarities

• Module Configuration: Both platforms offer similar module configurations, but the interface and options may differ slightly.
• Testing:
  • Make: Requires testing the entire automation, consuming operations for all modules.
  • n8n: Allows testing individual modules and saving results for later use, saving operations.
• Data Manipulation:
  • Make: Uses built-in functions for data manipulation (string functions, math, etc.).
  • n8n: Uses JavaScript code for data manipulation, offering more flexibility.
• Webhooks:
  • Make: Limited webhook configuration options.
  • n8n: Offers advanced options like test and production URLs, authentication, and control over response timing.
• Triggers:
  • Make: Only allows one trigger per scenario.
  • n8n: Allows multiple triggers in a single workflow, merging into the same modules.
• Merging Modules:
  • Make: Does not allow merging modules.
  • n8n: Allows merging modules, enabling more complex workflows.

AI Adoption

• Both platforms are actively adding AI features.
• n8n:
  • Moving faster in AI adoption.
  • Offers an AI Agent module for conversational AI with tools and memory.
  • Has Vector database tools.
• Make:
  • Allows AI to build automations.
  • Lags behind n8n in AI feature integration.

Why It Matters

• Choosing the right platform is crucial for long-term success with automation.
• Automations provide value only if they run consistently for extended periods.
• Incorrect platform selection can lead to wasted time, money, and effort.

Key Takeaways

• Make: Best for beginners, non-technical users, and businesses that want a powerful but easy-to-use automation platform.
• n8n: Best for advanced users, developers, and businesses with long-term strategic plans for AI automation and a technical team to support it.
• Both platforms can accomplish similar tasks, but n8n offers more flexibility and control at the cost of increased complexity.
• Consider long-term goals, technical expertise, and budget when choosing an automation platform.