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  3. /n8n vs Make.com: What We Use for Different Automation Jobs (and Why)
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n8n vs Make.com: What We Use for Different Automation Jobs (and Why)

We don't have a single automation tool. We use n8n for some jobs and Make.com for others — based on complexity, cost, data sensitivity, and whether we need custom code. Here is the honest comparison from an operator who has deployed both at production scale.

D
Diosh Lequiron
May 9, 2026 · 8 min read
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n8n vs Make.com: What We Use for Different Automation Jobs (and Why)

The question isn't which tool is better. Both n8n and Make.com are production-grade automation platforms used by real businesses. The question is which tool fits which job — and that depends on complexity, cost at your volume, data sensitivity, and how much custom code you need.

We use both. Here's the honest operational comparison.

By Diosh Lequiron, PhD, MBA, CSM — President & CEO, HavenWizards 88 Ventures OPC Last updated: May 9, 2026


The Short Version (If You Need a Quick Answer)

Use n8n when:

  • You need custom code inside the workflow (JavaScript or Python)
  • You're processing high volumes (100,000+ operations/month) where per-operation pricing matters
  • You have sensitive data you prefer not to route through third-party cloud infrastructure
  • The integration you need doesn't have a native connector and requires HTTP Request construction
  • You want full control over error handling, retry logic, and execution logging

Use Make.com when:

  • You need fast deployment with minimal technical overhead
  • Your workflow connects mainstream SaaS tools (Google Workspace, Slack, HubSpot, Shopify)
  • Non-technical team members need to build or maintain the workflow
  • The workflow is relatively linear (trigger → 3–5 actions → done)
  • You need advanced visual branching with multiple paths that would be hard to organize in n8n's layout

Platform Overview

n8n

n8n is an open-source workflow automation platform. You can self-host it (free software, you pay infrastructure) or use n8n Cloud (subscription, managed). The visual interface is node-based — each node is a step.

Key distinguishing feature: The Code node lets you write JavaScript or Python directly inside a workflow. This makes n8n a programming environment with a visual interface, not just a no-code tool.

Pricing model (Cloud): Subscription tiers based on workflow executions per month. Self-hosted: free software + your server cost.

Self-hosting reality: Takes 2–4 hours to set up with Docker on a VPS. Requires basic Linux and DevOps knowledge. Ongoing maintenance (updates, backups, uptime monitoring) adds ~1–2 hours/month for a small deployment.

Make.com

Make.com (formerly Integromat) is a cloud-based automation platform. No self-hosting option. The visual interface is scenario-based — each scenario is a linear or branching flow.

Key distinguishing feature: Scenario design is visual-first, with excellent support for multi-path branching (routers) and array handling. Non-technical users find it more approachable than n8n.

Pricing model: Operations-based (each step in each execution is one "operation"). Subscription tiers set operation limits per month.


Head-to-Head Comparison

Cost at Scale

This is where the decision gets concrete.

Make.com: At 100,000 operations/month (which sounds like a lot but isn't — one scenario with 5 steps running 20,000 times uses 100,000 operations), you're on a mid-tier plan. Pricing for that tier runs $18–$29/month as of May 2026.

n8n Cloud: Execution-based pricing. Tier pricing varies; at equivalent scale, n8n Cloud is typically comparable or slightly cheaper for pure volume.

n8n Self-Hosted: The real cost comparison. At our current automation volume across 8 ventures (60+ workflows, many running every 15–30 minutes), self-hosted n8n on a 4GB RAM DigitalOcean droplet costs approximately ₱4,500–₱6,500/month. An equivalent Make.com plan for our operation volume would cost 15–20x that. Self-hosting requires infrastructure management; at our scale, the savings justify the overhead.

Verdict: For low-to-medium volume with no infrastructure overhead: Make.com's per-operation pricing is acceptable. For high volume or sensitive data: n8n self-hosted wins decisively on cost.

Technical Capability

n8n advantage: The Code node. When you need to transform data in ways that built-in transformers can't handle — parsing non-standard date formats, processing phone numbers in Philippine local format, computing business logic — you write code. This is not a workaround; it's a feature.

We use Code nodes in roughly 40% of our n8n workflows. Without them, we'd need to run separate scripts or build middleware APIs just to handle data transformations.

Make.com advantage: Array handling and aggregation. Make.com's native iterator and aggregator modules handle arrays (lists of records) cleanly without code. For workflows that process batches of records — "for each order in today's list, do X" — Make.com's visual approach is faster to build and easier to debug visually.

Verdict: For workflows requiring custom logic or integrations with non-standard systems: n8n. For clean array processing and batch operations with standard tools: Make.com.

Ease of Use

Make.com: Lower floor. A non-technical team member with 2–3 hours of orientation can build simple workflows (form submission → Slack notification → CRM update). The visual design is more polished and the error messages are more readable.

n8n: Steeper initial curve. The workflow canvas can become cluttered with complex flows. Code nodes require JavaScript or Python knowledge. Error messages are sometimes less user-friendly than Make.com's. However, once a developer is comfortable with n8n, it is faster for complex workflows because you're not fighting the platform's limitations.

Verdict: Make.com for non-technical builders. n8n for technical builders or teams with developer support.

Data Privacy and Sensitivity

n8n self-hosted: Your data never leaves your infrastructure. Every execution — inputs, outputs, error logs — stays on your server. For workflows that handle customer PII, payment data, or sensitive business data, this is a significant advantage.

Make.com: All data is processed through Make.com's cloud infrastructure. For most applications this is fine. For regulated data or data you're contractually required to keep on Philippine servers, this is a concern.

Verdict: For sensitive data or compliance requirements: n8n self-hosted. For general business automation: both are acceptable.

Native Integrations

Make.com wins here. Make.com has 1,000+ native app connectors maintained by the Make.com team. The UI for configuring them is clean and fields are pre-mapped.

n8n: Approximately 300+ native integrations (growing). For tools not natively supported, you use the HTTP Request node — which works for anything with a REST API but requires more configuration than a native connector.

For Philippine-specific tools (e-wallets, local payment gateways, government systems with APIs): neither platform has native support. Both use HTTP Request nodes. n8n's HTTP Request node is more flexible for custom authentication flows.


What We Actually Run on Each Platform

n8n (self-hosted) — Complex, high-volume, or data-sensitive workflows

  • Farmer registration and validation pipeline (Bayanihan Harvest) — uses Code nodes for data normalization
  • Order routing and fulfillment status notifications — high volume, SMS integration via Semaphore API
  • Error log aggregation and alerting — runs every hour across all ventures
  • AI prompt processing — calls Anthropic API, parses JSON responses, routes to action
  • Content moderation for user-generated content (UGC features) — custom classification logic

Make.com — Fast-to-deploy, standard-tool integrations

  • Google Forms → Google Sheets → Slack notification (simple data capture workflows)
  • Shopify new order → Slack alert → Google Sheet update
  • RSS feed monitoring for competitor content → Notion database entry
  • Calendar event → automated reminders via email

The rule we apply: If a workflow requires a Code node or connects to a non-standard API, it goes in n8n. If it connects only to mainstream SaaS tools and can be built by a non-developer, Make.com is faster.


Frequently Asked Questions

Can I use both tools in the same operation? Yes. An n8n workflow can trigger a Make.com scenario via webhook, and vice versa. We rarely do this because it creates debugging complexity, but it is technically possible.

Is n8n harder to maintain than Make.com? Self-hosted n8n requires server maintenance. n8n Cloud requires the same maintenance as any cloud SaaS (near zero). Make.com Cloud has no maintenance overhead. If you don't have DevOps capacity, use n8n Cloud or Make.com.

Which has better error notifications? Make.com's error notifications are more user-friendly out of the box. n8n requires configuring error workflows (workflows that run when another workflow fails). This is more powerful but requires more setup.

What about Zapier? Zapier is appropriate for simple workflows connecting mainstream SaaS tools. It is significantly more expensive per operation than either n8n or Make.com at scale, and has fewer technical capabilities. We don't currently use Zapier in production.

Which platform is better for a first-time automation builder? Make.com. Lower learning curve, better onboarding, cleaner error messages. When you hit its limitations, migrate those workflows to n8n.


Decision Framework

Does this workflow need custom code?
  YES → n8n

Is the data sensitive (PII, payment data)?
  YES → n8n self-hosted

Is the workflow connecting only mainstream SaaS tools?
  YES, and volume < 50,000 ops/month → Make.com
  YES, but volume > 100,000 ops/month → compare pricing, n8n self-hosted likely wins

Will a non-technical team member maintain this?
  YES → Make.com
  NO → either, with preference for n8n if complexity is high

Both tools will serve you well within their respective strengths. The mistake is choosing one and trying to use it for everything.

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D

Diosh Lequiron

President & CEO, HavenWizards 88 Ventures

Building arena-forged execution systems and deploying governed Filipino talent across multiple venture lines. Every insight comes from real operations, not theory.

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