AI Agent Index

n8n vs Make.com (2026)

Side-by-side comparison of n8n vs Make.com: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated July 20, 2026 by The AI Agent Index Editorial Team.

Data sourced from The AI Agent Index

n8n logo

n8n

by n8n GmbH

Open-source workflow automation platform with 400+ integrations, 70+ AI agent nodes, and MCP support. Visual editor plus inline code. Self-hosted free; cloud from EUR 20/mo.

freemiumB2B
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Make.com logo

Make.com

by Celonis (Make)

Visual workflow automation with advanced branching and data manipulation across 3,000+ apps. MCP server and client included. Free tier; Core $9/mo billed annually ($10.59 monthly).

freemiumSMB
Visit Make.com
n8n
Make.com
Pricing model
freemium
freemium
Starting price
$20/mo
$9/mo, billed annually
Pricing transparency
public
mostly public
Contract type
both
both
Customer segment
B2B
SMB
Deployment
cloud, self-hosted
cloud
Setup difficulty
moderate
moderate
Avg setup time
< 1 hour for self-hosted (Docker deploy, configure first workflow); < 15 minutes for n8n Cloud (sign up, connect first integration)
Under 30 minutes for first scenario (sign up, connect 2 apps via visual builder); 1 to 4 weeks for complex multi-step automation rollout
Editorial rating
4.6 / 5
4.5 / 5
G2 rating
4.7/5 (284 reviews)
4.6/5 (332 reviews)
MCP
Yes
Server + client
GitHub stars
197k
N/A
Data training
no
not disclosed
Human in loop
optional
optional
Security certs
GDPR
SOC 2 Type II, ISO 27001, GDPR

Capabilities

n8n

workflow-builderno-codeopen-sourcedata-analysiscrm-syncautonomous

Make.com

no-codeworkflow-builderdata-analysiscrm-syncreporting

Pros & Limitations

Editorial assessment

n8n

Pros

  • Open-source with self-hosting option that gives technical teams full data control, no per-task pricing, and no vendor lock-in: self-hosted deployments run unlimited workflows and executions at zero cost.
  • 70+ AI agent nodes built natively into the platform using LangChain: AI Agent node can call any other n8n node as a tool, enabling autonomous workflows that query APIs, update CRMs, send emails, and generate reports without custom code.
  • Inline JavaScript and Python code execution lets developers handle complex data transformations, iteration logic, and API manipulation that no-code platforms cannot replicate without workarounds.

Limitations

  • Self-hosted deployment requires server setup, Docker knowledge, and ongoing maintenance: not suitable for non-technical teams who should evaluate Zapier or Make.com instead.
  • Smaller native app library than Zapier at 400+ integrations versus 8,000+: most gaps are covered by the HTTP Request node for developers, but non-developers will find fewer one-click connectors.
  • Cloud plan pricing is higher per execution than Make.com for teams that do not need self-hosting, and the learning curve is steeper than both Zapier and Make for users without automation experience.

Make.com

Pros

  • Visual scenario builder handles complex branching, iteration, parallel execution, and data transformation that Zapier's linear editor cannot match. Scenario Inputs and Outputs enable structured data passing between chained workflows.
  • Credit-based pricing is significantly more cost-effective than Zapier at high volume. Annual credits pool across 12 months rather than expiring monthly, and file size limits scale from 5 MB (Free) to 1 GB (Enterprise).
  • Connects 3,000+ apps with detailed control over data mapping and error handling at each step. Native MCP server and client app, Make AI Agents, Library of Agents, AI Content Extractor, and AI Web Search embed intelligence at any automation step.

Limitations

  • Steeper learning curve than Zapier: building first scenarios takes meaningful time investment for non-technical users unfamiliar with visual workflow logic, scenario inputs and outputs, and branching paths.
  • Smaller app library than Zapier at 3,000+ vs 8,000+: some niche tools lack native Make connectors and require custom HTTP module workarounds or the Custom Apps builder.
  • No self-hosting option: data passes through Make's AWS infrastructure in EU or North America, limiting use for strict compliance environments that require on-premise data processing outside the Enterprise on-prem agent.

Frequently asked questions

How does pricing compare between n8n vs Make.com?

n8n uses a freemium model, starting at $20 per month. Make.com uses a freemium model, starting at $9 per month on an annual commitment (month-to-month costs more).

View full n8n profile

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