{"@":{"v":"gdom/1.2","profile":"https://dng.ai/gibberdom/gdom-1.2.json","proj":"text","index":"https://dng.ai/_gdom/manifest.json","site":"https://dng.ai/_gdom/site.gdom","self":"https://dng.ai/_gdom/compare/n8n-vs-make/index.text.gdom"},"text":"# n8n vs Make: which automation platform fits your team?\n\nBoth platforms can run sophisticated workflows and AI agents. The real choice is between n8n's technical control and deployment flexibility, and Make's visual-first, managed no-code experience.\n\nChoose n8n when developers or technical operators need self-hosting, code-level extensibility and complex API logic. Choose Make when business teams want a polished visual builder, broad app coverage and faster no-code onboarding. Neither is purpose-built for governed enterprise marketing production.\n\n## Start with your team and workflow.\n\n### n8n\n\nTechnical control matters more than the shortest learning curve.\n\n- You want cloud or self-hosted deployment\n\n- Developers need code, APIs and custom nodes\n\n- Execution-based billing suits long workflows\n\n### Make\n\nVisual clarity and no-code adoption matter most.\n\n- Business operators will own the workflows\n\n- You value a visual data-mapping experience\n\n- Your stack benefits from 3,000+ listed apps\n\n### Draft & Goal\n\nThe workflow is marketing-specific, agentic and governed.\n\n- Marketing must own production workflows\n\n- Brand, approvals and audit trails are mandatory\n\n- SEO and content tools need to be native\n\n## n8n vs Make, criterion by criterion.\n\nNo platform wins every category. The right choice depends on your team's profile, workflow complexity, deployment needs and billing model.\n\n| Criterion | n8n | Make | Edge |\n| --- | --- | --- | --- |\n| Best fit | Technical teams building custom automations | Business and ops teams building visually | Depends on team |\n| Hosting | n8n Cloud or self-hosted options | Managed cloud platform | n8n for control |\n| Listed integrations | 1,900+ integrations | 3,000+ apps | Make for breadth |\n| Workflow design | Node canvas with expressions and code | Visual scenarios, routers and field mapping | Make for approachability |\n| Extensibility | Code nodes, HTTP, APIs and custom/community nodes | HTTP, webhooks, custom apps and enterprise custom functions | n8n for developers |\n| AI agents | AI Agent and LangChain-style cluster nodes | AI Agents integrated in the Scenario Builder | Different strengths |\n| Pricing unit | Complete workflow executions, with unlimited steps | Credits consumed by module operations and some AI usage | Model your volume |\n| Governance | Environments, Git version control and secrets on higher plans | Roles, teams and advanced security on higher plans | Plan-dependent |\n| Learning curve | More technical flexibility and setup | Faster for visual no-code builders | Make for beginners |\n\n## Match the platform to the actual work.\n\n### Self-hosted internal automation\n\nn8n provides a self-hosted Community Edition and paid self-hosted tiers, giving infrastructure teams more deployment control.\n\n### Visual operations workflows\n\nMake's scenario canvas, routers and field mapping make multi-app flows easier to explain to non-developers.\n\n### API-heavy data transformation\n\nCode, expressions, HTTP requests and custom nodes give technical teams a deeper escape hatch.\n\n### Fast SaaS app automation\n\nIts broad app catalog and guided visual setup reduce the work needed for common cloud-software workflows.\n\n### Governed marketing agents\n\nMarketing-native agents, approvals, brand context and SEO tooling are built into the operating model instead of assembled from generic modules.\n\n## Execution pricing vs credit pricing\n\nThe cheaper platform depends less on the sticker price than on the shape of your workflow. Estimate real monthly runs with production data before deciding.\n\n### Full workflow executions\n\nHosted plans meter completed workflow executions rather than every step, so long workflows can be easier to forecast.\n\n### Credits per module operation\n\nMost module actions consume a credit; built-in AI features can consume additional credits based on usage.\n\n## Both support agents—the assembly model differs\n\nn8n exposes agent, model, memory, tool and parser components for technical composition. Make places AI agents inside its visual scenario system and lets scenarios act as tools. In both, production quality still depends on how you design evaluation, approvals and failure handling.\n\n### Composable AI building blocks\n\nA better fit when a technical team wants direct control over models, memory, tools, retrieval and workflow logic.\n\n### Agents inside visual scenarios\n\nA better fit when an operations team wants to combine deterministic modules and agent decisions in one managed canvas.\n\n## When the better answer is neither\n\nn8n and Make are horizontal automation platforms. If the goal is to run marketing work—not just connect apps—Draft & Goal starts with specialized agents, governed production and marketing context.\n\nBrand voice and channel rules carried by agents\n\nNative SEO, content and analytics connectors\n\nHuman approvals, audit trails and versioned publishing\n\nMulti-model orchestration managed by marketing\n\n## Questions about n8n and Make.\n\nn8n is usually the stronger fit for technical teams that need self-hosting, custom code and deployment control. Make is often better for business users who prioritize visual workflow design and faster onboarding.\n\nMake is generally easier for first-time no-code builders because its scenario canvas emphasizes visual mapping. n8n becomes more attractive as requirements move toward APIs, expressions, code and custom infrastructure.\n\nAt the time of review, Make lists 3,000+ apps and n8n lists more than 1,900 integrations. Counts change frequently, so check whether each platform supports the specific actions and triggers you need—not only the headline number.\n\nYes. n8n provides composable AI and agent nodes, while Make offers AI Agents in its Scenario Builder. The right choice depends on whether you prefer technical component-level control or a more guided visual experience.\n\n## Checked against vendor documentation.\n\nThis comparison uses product documentation, integration directories and billing models published by each vendor. Features and pricing change, so confirm details when you buy.\n\nDraft & Goal is not affiliated with the vendors compared. All trademarks belong to their respective owners.\n\nShow us the workflow.We'll show you the 10x.\n\nBring the marketing workflow that eats your week. We'll build it live, with your data and your models, in 30 minutes.\n\n## Outbound links\n\n- [Explore Draft & Goal →](https://dng.ai/platform/)\n\n- [Draft & Goal vs n8n →](https://dng.ai/compare/n8n/)\n\n- [Draft & Goal vs Make →](https://dng.ai/compare/make/)\n\n- [Book a demo →](https://dng.ai/book-demo/)\n\n- [Draft & Goal](https://dng.ai/)\n\n- [01 n8n pricing and execution model View source ↗](https://n8n.io/pricing/)\n\n- [02 n8n integration directory View source ↗](https://n8n.io/integrations/)\n\n- [03 n8n Advanced AI documentation View source ↗](https://docs.n8n.io/advanced-ai/)\n\n- [04 Make pricing and credit model View source ↗](https://www.make.com/en/pricing)\n\n- [05 Make integration directory View source ↗](https://www.make.com/en/integrations)\n\n- [06 Make scenario types View source ↗](https://help.make.com/whats-a-scenario-and-which-type-should-you-use)\n\n- [07 Make AI Agents documentation View source ↗](https://help.make.com/meet-the-new-make-ai-agents-app)\n\nSite navigation: https://dng.ai/_gdom/site.gdom\n\nFull page index: https://dng.ai/_gdom/manifest.json","links":[{"rel":"internal","href":"https://dng.ai/platform/","path":"/platform","label":"Explore Draft & Goal →","gdom":"/_gdom/platform/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/compare/n8n/","path":"/compare/n8n","label":"Draft & Goal vs n8n →","gdom":"/_gdom/compare/n8n/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/compare/make/","path":"/compare/make","label":"Draft & Goal vs Make →","gdom":"/_gdom/compare/make/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/book-demo/","path":"/book-demo","label":"Book a demo →","gdom":"/_gdom/book-demo/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/","path":"/","label":"Draft & Goal","gdom":"/_gdom/index.text.gdom"},{"rel":"external","href":"https://n8n.io/pricing/","label":"01 n8n pricing and execution model View source ↗"},{"rel":"external","href":"https://n8n.io/integrations/","label":"02 n8n integration directory View source ↗"},{"rel":"external","href":"https://docs.n8n.io/advanced-ai/","label":"03 n8n Advanced AI documentation View source ↗"},{"rel":"external","href":"https://www.make.com/en/pricing","label":"04 Make pricing and credit model View source ↗"},{"rel":"external","href":"https://www.make.com/en/integrations","label":"05 Make integration directory View source ↗"},{"rel":"external","href":"https://help.make.com/whats-a-scenario-and-which-type-should-you-use","label":"06 Make scenario types View source ↗"},{"rel":"external","href":"https://help.make.com/meet-the-new-make-ai-agents-app","label":"07 Make AI Agents documentation View source ↗"}]}