Automation Platform Comparison · 2025

n8n vs Make

A complete technical breakdown for founders, developers, and operations teams choosing a workflow automation platform in 2025.

▸ Direct Answer

n8n is the better choice for technical teams, AI automation, self-hosted infrastructure, and high-volume workflows. Make is the better choice for non-technical teams, fast visual setup, and connecting popular SaaS apps without writing code. For AI-powered automation and cost efficiency at scale, n8n wins clearly. For simplicity and breadth of integrations, Make is hard to beat.

Open Source

YesvsNo

Self-Hostable

Yes (free)vsNo

AI Agent Nodes

NativevsNot available

Integrations

400+vs1,000+
Overview

What Are n8n and Make?

🔄

n8n

OPEN SOURCE · SELF-HOSTABLE

n8n is an open-source, node-based workflow automation platform founded in 2019. It can be self-hosted on any server, giving teams full control over their data and infrastructure. n8n's node-based editor lets developers build complex workflows with custom JavaScript and Python, native AI agent support, and deep API integrations. It is the platform of choice for technical teams and AI-powered automation pipelines.

Open SourceSelf-HostedAI AgentsCustom CodeLangChain400+ nodes

Make

FORMERLY INTEGROMAT · VISUAL

Make (formerly Integromat) is a visual automation platform founded in 2012. It provides a drag-and-drop scenario builder with over 1,000 pre-built app connectors, making it accessible to non-technical users who want to automate workflows between popular SaaS tools. Make runs entirely in the cloud with no infrastructure management required. Its per-operation pricing model is ideal for low-to-medium volume automations.

Visual Builder1,000+ AppsCloud-OnlyNo-CodeTemplatesReal-Time
Key Comparison

n8n vs Make — Feature by Feature

A direct comparison across 12 critical dimensions every team should evaluate before choosing their automation platform.

Category
🔄n8n
Make
Open Source
Yes — fully open source
No — proprietary SaaS
Self-Hosting
Yes — Docker / VPS
No — cloud only
Pricing Model
Flat / per execution
Per operation (compounds)
Free Tier
Unlimited (self-hosted)
1,000 ops/month
Ease of Use
Moderate (technical)
Easy (visual-first)
Integrations
400+ nodes
1,000+ apps
Custom Code
JS + Python built-in
Limited (no native code)
AI / Agent Support
Native AI nodes + LangChain
Basic OpenAI HTTP calls
Webhooks
Full webhook support
Full webhook support
Error Handling
Advanced (retry, fallback)
Good (error routes)
Data Ownership
Full (self-hosted)
Make's cloud servers
Enterprise / SSO
Enterprise plan available
Enterprise plan available
AI Automation

AI & Agent Capabilities

AI automation is the fastest-growing use case for workflow platforms in 2025. The gap between n8n and Make on AI capabilities is significant.

AI Feature
🔄 n8n
⚡ Make
AI Agent Nodes
Native — built-in
Not available
LangChain Integration
Yes — full support
No
OpenAI API
Native node
HTTP module only
Vector Store
Pinecone, Qdrant, Supabase
Not available
Custom Python/JS
Yes — built-in
No
Memory / Context
Long-term memory nodes
Not available

▸ Key Insight

If AI automation is a core part of your strategy in 2025, n8n is not just better — it is the only serious choice. Native AI agent nodes, LangChain integration, vector store support, and custom code execution make n8n a proper AI orchestration platform. Make's AI capability is essentially limited to calling the OpenAI API via HTTP — far from the multi-agent, memory-enabled workflows that n8n supports.

Strengths

Key Strengths of Each Platform

🔄

n8n Strengths

Fully open source — inspect, modify, and contribute to the codebase
Self-host on any server — complete data sovereignty
Native AI agent nodes with LangChain and vector store support
Execute custom JavaScript and Python code directly in workflows
Flat pricing — no per-operation costs that compound at scale
Advanced error handling with retry logic and fallback branches
Build custom nodes for any proprietary API or system
Active community with growing library of workflow templates

Make Strengths

1,000+ pre-built app connectors — largest integration library
Visual scenario builder is genuinely beginner-friendly
No server management — fully managed cloud infrastructure
Data mapping interface is intuitive and well-documented
Real-time execution monitoring with detailed operation logs
Strong scheduling — minute-level cron and event-based triggers
Template marketplace with hundreds of pre-built scenarios
Reliable uptime with Make managing all infrastructure
Use Cases

Which Should You Choose?

The right platform depends on your technical capability, data requirements, and automation complexity. Here is a scenario-by-scenario breakdown.

🤖

AI Agent & LLM Workflows

n8n

n8n has native AI agent nodes, LangChain integration, vector store connections, and custom code execution. Build multi-step AI pipelines that Make simply cannot replicate.

🔗

Simple App-to-App Automation

Make

Connecting Gmail to Slack, Typeform to Airtable, or Shopify to Notion is faster and easier in Make. 1,000+ pre-built connectors with a visual drag-and-drop interface.

🏢

Enterprise / Sensitive Data

n8n

Self-hosting n8n on your own infrastructure means data never leaves your servers. Critical for healthcare, finance, legal, or any regulated industry with data residency requirements.

🚀

Startup Automating Fast

Make

Make's low barrier to entry and huge integration library lets non-technical founders automate CRM, marketing, and operations workflows in hours without developer involvement.

💰

High-Volume Automation

n8n

Make charges per operation — running 500,000 operations/month can cost $500+ on Make. n8n self-hosted runs the same volume for a $10/month VPS. The savings at scale are significant.

🔧

Developer-Built Integrations

n8n

n8n lets developers write custom JavaScript or Python directly inside workflows, call internal APIs, manipulate complex data structures, and build custom nodes for proprietary systems.

Pricing

Pricing Comparison

Make's per-operation model looks cheap at low volume but compounds fast. n8n's flat or self-hosted model becomes significantly more cost-effective as automation volume grows.

Getting Started
Free (self-hosted) · $20/mo cloud (2,500 executions)
Free (1,000 ops/mo) · $9/mo (10,000 ops)
Growing Team
$20–$50/mo cloud · OR $10/mo VPS (unlimited)
$16–$29/mo (40k–150k ops)
High Volume (500k ops/mo)
~$10–$20/mo (self-hosted VPS only)
$299–$500+/mo (operations-based)
Enterprise
Custom pricing · On-premise available
Custom pricing · Cloud only

⚠ Make Pricing Warning

Make counts every action inside a scenario as an operation — not just each scenario run. A single workflow run that processes 10 records with 5 steps each consumes 50 operations. At high volume, this compounding effect makes Make significantly more expensive than it appears at face value.

How We Build

AI Automation at 4Byte

At 4Byte, we build AI automation systems for businesses using n8n as our primary orchestration layer. Its native AI agent support, custom code execution, and self-hosting capability make it the right choice for the complex, data-sensitive workflows our clients need.

We also help clients migrate from Make to n8n when their automation needs have outgrown Make's pricing model or platform limitations — particularly for AI-heavy use cases.

n8n for all AI agent and LLM orchestration workflows
Custom AI pipelines: RAG, lead qualification, support automation
Self-hosted n8n deployments for data-sensitive client environments
Make to n8n migration for clients hitting cost or capability limits
45+

Products Shipped

Including AI automation systems

10x

Avg Cost Saving

n8n vs Make at scale

28 days

AI System Delivery

From kickoff to live

≤ 4hrs

Response Time

On all new enquiries

Self-Hosting

Self-Hosting n8n vs Using Make Cloud

One of n8n's biggest advantages is the ability to run it on your own infrastructure. Here is what that means in practice.

🔒

Data Sovereignty

Self-hosted n8n means your workflow data, credentials, and automation logs never leave your servers. Essential for regulated industries, sensitive client data, and GDPR compliance.

💰

Unlimited Operations

On a $10/month VPS, you can run millions of workflow executions with no per-operation charges. Make would cost hundreds or thousands for the same volume.

⚙️

Full Customisation

Install custom npm packages, run Python scripts, connect to internal databases, and build custom nodes for proprietary systems — none of which are possible on Make.

🔧

Setup Requirement

Self-hosting requires a VPS, Docker knowledge, and basic server administration. It is a one-time setup of 1–2 hours, but it is a technical task that Make's cloud eliminates entirely.

🔄

Updates & Maintenance

You manage your own n8n version updates, backups, and uptime monitoring on self-hosted. Make's cloud handles all of this automatically.

🌐

n8n Cloud Alternative

Don't want to self-host? n8n Cloud starts at $20/month with managed infrastructure, automatic updates, and no server management — still cheaper than Make at scale.

FAQ

Frequently Asked Questions

Is n8n better than Make in 2025?+

n8n is better for technical teams that need self-hosting, custom code execution, complex logic, and unlimited operations without per-operation pricing. Make is better for non-technical users who need a visual, easy-to-use platform with a massive pre-built integration library and minimal setup. Both are powerful automation tools; the right choice depends on your team's technical capability and budget model.

Is n8n free?+

n8n is open source and free to self-host. You pay only for your own server costs (typically $5–$20/month on a VPS). n8n Cloud starts at $20/month for 2,500 workflow executions. The self-hosted option gives you unlimited executions at no per-operation cost.

How much does Make cost?+

Make has a free tier with 1,000 operations per month. Paid plans start at $9/month for 10,000 operations, $16/month for 40,000 operations, and $29/month for 150,000 operations. Costs scale with usage — high-volume automations can become expensive as operation counts grow.

Can n8n replace Make?+

n8n can replace Make for most automation use cases, particularly if you have technical resources to manage self-hosting. n8n supports 400+ integrations, custom JavaScript and Python code execution, webhooks, and complex conditional logic. The main tradeoff is that n8n requires more technical setup than Make's visual interface.

Is n8n harder to use than Make?+

Yes. n8n has a steeper learning curve, especially for non-technical users. Its node-based interface is powerful but requires understanding of data structures and workflow logic. Make's scenario builder is more approachable for beginners with clear visual data mapping and a guided setup flow.

Which is better for AI automation — n8n or Make?+

n8n is significantly better for AI automation. It has native AI agent nodes, LangChain integration, built-in vector store connections, and the ability to run custom Python and JavaScript code for AI logic. Make supports basic OpenAI API calls but lacks the deep AI orchestration capabilities that n8n provides.

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