Make vs n8n

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-15
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At a glance

DimensionMaken8n
PricingFreemium (usage-based)Freemium (execution-based)
Integrations3,000+ apps500+ integrations
DeploymentCloud onlyCloud or self-host (Docker)
Key strengthVisual scenario builder with sub-scenariosCode-level control, traceable AI agents
Best forMarketing/ops teams integrating SaaS toolsIT/SecOps/DevOps teams needing control & audit
ComplianceGDPR, SOC 2, SOC 3SSO/SAML/LDAP, audit logs, RBAC

For business teams wanting a polished, no-code canvas to connect thousands of SaaS apps with advanced visual logic, Make is the safer bet. For engineers and IT/SecOps teams who need self-hosting, code-level flexibility, and deep auditability, n8n wins. If you live in spreadsheets and want to plug-and-play, start with Make; if you're building AI agents and need traceability, go n8n.

Make
Make

Visual automation platform to build complex workflows and AI agents across 3,000+ apps

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n8n
n8n

Open-source AI workflow automation with code-level control and traceable agents

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Pricing
Freemium
Freemium
Plans
$0/mo
$9/mo
$16/mo
Custom
$0/mo
€20/mo (billed annually)
€50/mo (billed annually)
€667/mo (billed annually)
Contact Sales
Popularity
4.8k views
5.8k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
Web
Categories
🤖 Automation & Agents
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
Features
Visual scenario builder with drag-and-drop
Connect 3,000+ apps with pre-built connectors
Routers, filters, and conditional logic
Data transformation with aggregators and iterators
Sub-scenarios for modular workflow design
Webhook triggers for custom events
Error handling with rollback mechanisms
Real-time execution logs and monitoring
Team collaboration with shared workspaces
Scheduling and recurrence triggers
Data storage with data stores
API integration for custom actions
Pre-built automation templates
Make AI Agents with transparent, real-time adaptation
Make MCP Server to securely link AI to business actions
Visual workflow builder with drag-and-drop nodes
Insert JavaScript or Python anywhere
500+ pre-built integrations
AI agent builder with multi-agent and RAG support
MCP support for legacy systems
Human-in-the-loop approvals and guardrails
Self-host via Docker or n8n Cloud
Git-based version control with workflow diffs
SSO/SAML/LDAP, encrypted secrets, RBAC
Audit logs and log streaming to SIEM
Re-run single steps, replay or mock data
Execution-based pricing (not per step)
Native AI evaluation with real data
AI Assistant with credits (preview)
Offline model support
Integrations
OpenAI (ChatGPT, Sora, Whisper)
HubSpot CRM
monday.com
NetSuite
Salesforce
Slack
Canva
Perplexity AI
DeepSeek AI
Google Sheets
HubSpot
Notion
GitHub
Jira
OpenAI
Anthropic
Microsoft Graph
IMAP
SMTP
HTTP
GraphQL
PostgreSQL

Feature-by-feature

Make and n8n take fundamentally different approaches. Make excels in visual complexity: you get routers, filters, aggregators, iterators, and sub-scenarios to model intricate data flows without writing code. Its 3,000+ pre-built connectors make it a powerhouse for marketing and ops teams juggling multiple SaaS tools. Error handling with rollback and real-time execution logs are strong for monitoring. n8n, by contrast, lets you inject JavaScript or Python anywhere in the workflow, giving developers total freedom. Its AI agent builder shines with multi-agent and RAG support, plus every step of an agent's reasoning is traceable on the canvas—a differentiator for teams needing transparency. n8n also offers human-in-the-loop approvals, MCP support for legacy systems, and Git-based version control with diffs, which is unusual for a visual tool. For security, n8n provides SSO/SAML/LDAP, encrypted secrets, RBAC, and audit logs streaming to SIEM, while Make counters with SOC 2/3 and GDPR compliance. Make's AI agents are more of a black box, but n8n's agent traceability aligns with the AI Act transparency push. In short: Make is the friendlier but broader platform, n8n is the engineer's playground with better governance.

Pricing compared

Both are freemium, but the pricing philosophies diverge. Make scales on usage (operations or tasks), which can climb quickly with high-volume workflows—a known pain point. n8n charges per execution, not per step or user, which is more predictable for complex, branching workflows that rack up steps. On the free tier, Make gives you a taste of its visual power, but you'll hit limits fast if you're automating at scale. n8n's open-source nature means you can self-host for zero license fees—just pay for your infrastructure—making it a favorite for cost-conscious DevOps teams. However, n8n Cloud adds a fee, and high-volume production flows may hit execution caps, forcing you up tiers. Make's enterprise plans include compliance features out of the box, whereas n8n may require extra work to achieve SOC 2/HIPAA compliance on self-hosted setups. If you need enterprise-grade compliance without effort, Make's price may be justified; if you have the technical chops, n8n self-hosting can save you budget.

Who should pick which

  • Marketing ops manager
    Pick: Make

    You need to connect HubSpot, Salesforce, and Canva without coding. Make's 3,000+ connectors and visual drag-and-drop let you build lead generation and CRM workflows in minutes, and sub-scenarios keep complex logic organized.

  • IT Ops engineer
    Pick: n8n

    You're automating onboarding and incident response. n8n's self-hosting via Docker gives you full data control, and you can embed JavaScript/Python for custom logic. Audit logs to SIEM are critical for compliance.

  • SecOps analyst
    Pick: n8n

    You need to enrich threat intelligence with SOAR-like workflows. n8n's traceable AI agents and human-in-the-loop approvals let you validate actions before they run, and RBAC keeps sensitive data secure.

  • Solo founder building a product
    Pick: n8n

    You want to automate without breaking the bank. n8n's open-source model lets you self-host and avoid per-step costs. You also get the flexibility to build custom AI workflows with RAG and MCP.

  • Operations lead at a mid-size company
    Pick: Make

    You need to integrate many SaaS tools quickly but don't have deep coding skills. Make's visual interface with routers and iterators lets your team build complex workflows without engineering support, and its compliance certifications (SOC 2) are a plus.

Frequently Asked Questions

Make vs n8n: which should you choose?

For business teams wanting a polished, no-code canvas to connect thousands of SaaS apps with advanced visual logic, Make is the safer bet. For engineers and IT/SecOps teams who need self-hosting, code-level flexibility, and deep auditability, n8n wins. If you live in spreadsheets and want to plug-and-play, start with Make; if you're building AI agents and need traceability, go n8n.

Can I use n8n for free with full features?

Yes, n8n is open-source, so you can self-host via Docker and use all features without paying license fees. You only pay for your infrastructure and any premium add-ons like n8n Cloud if you choose it.

Does Make support AI agents?

Yes, Make offers AI agents (Make AI Agents) that can take actions and adapt in real time. They are part of the platform and can be integrated into your workflows.

Which tool is better for regulated industries?

Make has SOC 2 and SOC 3 certifications out of the box, which helps with compliance. n8n offers audit logs and RBAC, but you may need to implement additional controls to meet standards like HIPAA on self-hosted setups.

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Last reviewed: August 13, 2026