n8n vs Make vs Zapier: Which AI Automation Platform Wins?

n8n, Make (formerly Integromat), and Zapier are the three dominant platforms for AI-powered workflow automation. Each takes a fundamentally different approach, and the right choice depends entirely on your technical skill level, budget, and what you are actually building.

We have built production automations on all three platforms. This is not a feature checklist—it is a practical comparison based on real-world experience, including where each platform fails.

Quick Verdict: Which One Should You Pick?

• Choose Zapier if: You are non-technical, want the simplest setup, and need the broadest app library (7,000+ integrations). You value speed of setup over cost efficiency
• Choose Make if: You want visual, complex workflows at a lower price. You are comfortable with a moderate learning curve and need sophisticated logic (routers, iterators, error handlers)
• Choose n8n if: You are technical (or have a developer), want self-hosting options, need the most control over AI workflows, and want to avoid per-execution pricing

Zapier: The Easy Button

Strengths

• Largest integration library: 7,000+ apps, including many niche tools that other platforms do not support
• Simplest setup: Most automations take under 10 minutes to build. The interface is intentionally linear and hard to mess up
• AI features: Built-in ChatGPT integration, AI-powered automation builder (describe what you want in natural language), and AI-generated text fields within workflows
• Zapier Tables and Interfaces: Built-in database and form builder, eliminating the need for separate tools for simple data collection and management

Weaknesses

• Expensive at scale: Pricing is based on tasks (each action in a workflow counts as one task). A 5-step automation running 100 times/day uses 500 tasks/day = 15,000/month. The $29.99 Starter plan includes only 750 tasks/month
• Limited logic: Paths (conditional branching) and loops are available but clunky compared to Make. Complex workflows with multiple branches become hard to manage
• No self-hosting: Cloud-only. Your data passes through Zapier's servers, which can be a concern for regulated industries

Pricing

Free: 100 tasks/month. Starter: $29.99/month (750 tasks). Professional: $73.50/month (2,000 tasks). Team: $103.50/month (2,000 tasks + collaboration). Company: Custom pricing.

Make: The Power User's Choice

Strengths

• Visual workflow builder: The drag-and-drop canvas is the best in the market. Complex workflows with branches, loops, and error handling are visually intuitive
• Much cheaper than Zapier: Pricing is based on operations, and Make counts them more efficiently. The same workflow that costs 500 tasks/day on Zapier might be 200 operations/day on Make
• Powerful data transformation: Built-in functions for text manipulation, date formatting, math, and JSON parsing. You rarely need external tools for data transformation
• AI integration: Native modules for OpenAI, Anthropic, and custom HTTP modules for any AI API. Excellent support for building AI agent workflows
• Error handling: Best-in-class error handling with retry, ignore, break, and rollback patterns built into the visual builder

Weaknesses

• Steeper learning curve: The interface is more complex than Zapier. Expect 2-4 hours to build your first real workflow vs. 30 minutes on Zapier
• Fewer integrations: About 1,800 apps vs. Zapier's 7,000. Most major apps are covered, but niche tools may require custom HTTP modules
• No self-hosting: Cloud-only, like Zapier

Pricing

Free: 1,000 operations/month. Core: $10.59/month (10,000 operations). Pro: $18.82/month (10,000 operations + more features). Teams: $34.12/month. Enterprise: Custom.

n8n: The Developer's Dream

Strengths

• Self-hosted option: Run n8n on your own servers (free and open source). Your data never leaves your infrastructure. This is the only platform of the three that offers true self-hosting
• No per-execution pricing: The self-hosted version is completely free with unlimited executions. The cloud version has execution-based pricing but is still competitive
• Code when you need it: Write JavaScript or Python directly in your workflows. When a visual node cannot do what you need, drop in a code block
• Best AI workflow support: n8n has become the de facto platform for building AI agent workflows. Its LangChain integration, vector store nodes, and AI agent nodes are significantly more advanced than Zapier or Make
• Sub-workflows: Modular workflow design where workflows can call other workflows, enabling clean architecture for complex systems

Weaknesses

• Requires technical skill: Self-hosting requires Docker/Kubernetes knowledge. Even the cloud version assumes comfort with technical concepts
• Smaller community: Fewer templates, tutorials, and community solutions compared to Zapier's massive ecosystem
• Fewer native integrations: About 400 built-in nodes. However, the HTTP Request node and custom code ability means you can integrate with anything that has an API
• Self-hosting maintenance: You are responsible for uptime, backups, updates, and scaling. This is real operational overhead

Pricing

Self-hosted: Free (unlimited). Cloud Starter: $24/month (2,500 executions). Cloud Pro: $60/month (10,000 executions). Enterprise: Custom.

Head-to-Head: AI Workflow Capabilities

Since AI automation is the primary reason many teams are evaluating these platforms, here is a direct comparison of AI-specific features:

• LLM integration: All three integrate with OpenAI and Anthropic. n8n additionally supports local models (Ollama), Hugging Face, and has a dedicated AI Agent node. Make has the cleanest LLM module UI. Zapier is the simplest but least flexible
• Vector databases: n8n has native Pinecone, Qdrant, and Supabase vector store nodes. Make and Zapier require HTTP modules for vector DB interactions
• RAG workflows: n8n is the clear winner here. It has purpose-built nodes for document loading, text splitting, embedding, and retrieval. Building a full RAG pipeline in n8n takes 15-20 minutes
• Agent loops: n8n supports recursive agent loops natively. Make can do it with some creativity. Zapier's linear architecture makes true agent loops difficult
• Prompt management: n8n lets you version and manage prompts as part of your workflow. Make and Zapier treat prompts as simple text fields

Real-World Performance: What We Have Seen

After building production automations on all three:

• Reliability: All three are reliable for standard automations (99.5%+ uptime). For complex AI workflows with multiple LLM calls, n8n's self-hosted version gives you more control over retry logic and timeout handling
• Speed: Make is fastest for execution of complex workflows due to its parallel processing capability. Zapier processes steps sequentially. n8n self-hosted performance depends on your infrastructure
• Debugging: Make's execution history is the most visual and easiest to debug. n8n's execution logs are comprehensive but require more technical understanding. Zapier's task history is simple but limited
• Scaling: n8n (self-hosted) scales best because you control the infrastructure. Make and Zapier scale via higher-tier plans, which can get expensive quickly

Decision Framework: Choose Based on Your Team

Forget feature comparisons. Here is the real deciding factor:

• Solo founder or non-technical team: Start with Zapier. You will be productive in 30 minutes. Migrate to Make when you outgrow it
• Marketing or operations team: Use Make. The visual builder and affordable pricing are perfect for teams building multiple automations
• Technical team building AI workflows: Use n8n (self-hosted). The AI capabilities, code flexibility, and zero per-execution cost make it the best platform for serious AI automation
• Regulated industry (healthcare, finance): n8n self-hosted is the only option that keeps all data on your infrastructure

For a step-by-step guide on building your first AI workflow, see our AI workflow automation guide.

Frequently Asked Questions