Compare Make vs n8n

Both tools in AI Workflow Automation
Pricing

Pricing Comparison

MakeMake
Free$0

1,000 credits/month, 2 active scenarios, 15-minute minimum interval

Core$9/mo

10,000 credits, unlimited active scenarios, 1-minute scheduling

Pro$16/mo

Priority execution, custom variables, full-text execution log search

Teams$29/mo

Shared scenario templates, team roles, multiple users

Enterprise$Custom

SSO, SCIM, audit logs, dedicated infrastructure, SLA support

n8nn8n
Community Edition$0

Self-hosted, unlimited workflows and executions, source available

Starter$20/mo

2,500 executions/month, unlimited workflows and users, AI credits included

Pro$50/mo

10,000 executions, 20 concurrent executions, admin roles, global variables

Business$800/mo

40,000 executions, SSO and LDAP, Git version control, multi-environment

Enterprise$Custom

Unlimited executions, 200+ concurrency, dedicated SLA support, log streaming

Features

Feature Comparison

MakeMake
Visual Scenario Canvas3,000+ ConnectorsRoutersIteratorsAggregatorsError HandlersHTTP ModuleWebhooksData StoresSchedulingScenario TemplatesMake AI AgentsCustom VariablesFull-Text Log SearchTeam CollaborationScenario VersioningMake GridOn-Demand Execution
n8nn8n
Self-HostingPer-Execution BillingNode Graph EditorJavaScript NodesPython NodesAI Agent NodesLangChain SupportVector Stores500+ IntegrationsCustom NodesWebhooksSub-WorkflowsError WorkflowsExecution HistoryGit Version ControlEnvironment StagingCommunity NodesSSO and LDAP
Fit

Best For & Not For

MakeMake
✅ Best For
Automation agencies and freelancers building client scenarios who need branching, looping and error handling without writing code
Operations specialists at growing companies who have outgrown linear step-by-step automation and need a real flow canvas
Cost-conscious teams running high-volume workflows, since credit pricing is typically three to five times cheaper than task-based platforms at the same workload
Technical marketers who want to hit undocumented or niche APIs directly using the generic HTTP module when no native connector exists
❌ Not For
Absolute beginners who want a workflow live in five minutes, because the canvas has a steeper learning curve than a linear step builder
Teams needing the very longest tail of app connectors, since Make covers 3,000+ apps versus Zapier's 9,000+
Organisations with data residency rules requiring on-premise deployment, as Make is cloud-only with no self-hosting option
Anyone who wants a fixed predictable bill, because credit consumption varies with loop counts and record volumes month to month
n8nn8n
✅ Best For
Developers and technical operators who want unlimited executions at near-zero cost by self-hosting on a small VPS
Companies with data residency, GDPR or compliance constraints that rule out sending workflow data through a third-party cloud
Teams building AI agents and RAG pipelines who need vector stores, memory and multiple model providers inside the same workflow canvas
High-volume automation users whose complex multi-step workflows would be prohibitively expensive under per-task or per-credit billing
❌ Not For
Non-technical users who want a point-and-click experience, since expressions, JSON handling and node debugging assume real technical comfort
Teams with no DevOps capacity, because self-hosting means you own updates, backups, SSL renewal and uptime monitoring
Anyone needing the broadest connector library, as n8n ships around 500 integrations versus thousands on Zapier and Make
Cloud users who rely on community-built nodes, since n8n Cloud disables community node installation for security reasons
Availability

Platform & Accessibility

MakeMake
web-basedapi
n8nn8n
web-baseddesktopapi
Use & Audience

Tasks & Who It's For

Integrations

Integrations

MakeMake
Data & Spreadsheets
Google Sheets
Communication
Slack
Database
Airtable
E-commerce
ShopifyStripe
CRM
HubSpot
Writing & Docs
Notion
Storage
Google Drive
Marketing
Facebook AdsMailchimp
Webhooks & API
Webhooks
Other
OpenAI
n8nn8n
Database
PostgresAirtablePineconeSupabase
Communication
SlackTelegram
Data & Spreadsheets
Google Sheets
Other
OpenAIAnthropic
Development
GitHub
Writing & Docs
Notion
Webhooks & API
HTTP Request
Use Cases

Real-world Use Cases

MakeMake
1
Rohit runs a 12-client marketing agency and rebuilt every client report as a Make scenario that pulls Google Ads, Meta and GA4 data into a formatted Google Slides deck, saving 26 hours of manual reporting each month.
2
Sofia manages inventory for a boutique retailer. Her scenario uses an iterator to loop through a supplier CSV of 400 SKUs and update Shopify stock levels nightly, ending the weekend of manual data entry she used to dread.
3
Tomas, a solo SaaS founder, wired a router into Make so trial signups from enterprise domains alert him in Slack while everyone else enters a nurture sequence, and his demo booking rate from qualified trials doubled.
n8nn8n
1
Arjun, a backend engineer at a fintech startup, moved 40 Zapier automations to self-hosted n8n on a $5 VPS and cut the team's automation bill from $340 a month to under $10 with no loss in reliability.
2
Freya runs data ops at a healthcare analytics firm where patient data cannot leave EU infrastructure. She self-hosts n8n in their own cloud and now automates report generation that compliance had previously blocked entirely.
3
Ivan built an internal support agent using n8n's AI agent node connected to a vector store of 900 help articles. It now resolves 62 percent of tier-one tickets before a human ever opens them.
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