Make Vs N8n: Which Workflow Automation Tool Should You Pick in 2026?

If you have outgrown Zapier or want more control over your automations, two platforms keep coming up: Make (formerly Integromat) and n8n. Both are powerful. Both let you build complex workflows that Zapier struggles with. But they take very different approaches.

Make is the visual-first, no-code platform with 3,000+ integrations and a drag-and-drop builder that feels like designing a flowchart. n8n is the fair-code, developer-friendly platform you can self-host for free with unlimited executions.

This guide compares everything: features, pricing, AI capabilities, security, and real use cases so you can pick the right tool for your team.

What Is Make?

Make (formerly Integromat) is a visual workflow automation platform that connects your apps and automates tasks using a flowchart-style builder. You create “scenarios” by dragging modules onto a canvas and connecting them with lines that represent data flow.

What sets Make apart is its visual builder. Every workflow looks like a clear, readable diagram. You can see exactly how data moves between apps, where it branches, where it loops, and where it transforms. For teams that think visually, this is a major advantage.

Make supports 3,000+ app integrations, built-in data transformation tools, and advanced flow control features like routers, filters, iterators, and error handlers. It is SOC 2 Type II certified and GDPR compliant.

What Is n8n?

n8n (pronounced “nodemation”) is a fair-code workflow automation platform built for developers and technical teams. It uses a node-based editor where you connect nodes to build workflows of any complexity.

The standout feature is self-hosting. You can run n8n on your own servers with unlimited executions for free using the Community Edition. This gives you complete control over your data, which is critical for regulated industries like healthcare, finance, and government.

n8n supports 400+ native integrations plus thousands of community-built nodes. Its HTTP Request node lets you connect to any API, and full JavaScript and Python support means you can write custom logic directly inside workflows.

Make vs n8n: Feature Comparison

1. Visual Builder

This is where Make has a genuine edge.

Make uses a flowchart-style canvas where modules sit as circles connected by lines. You can see the entire data flow at a glance. Routers split paths visually, iterators show loops clearly, and error handlers attach directly to modules. It is arguably the best visual automation builder on the market.

n8n uses a node-based editor with a left-to-right flow. It is functional and clear, but less visually polished than Make. Where n8n compensates is flexibility: you can embed code nodes, use expressions, and build logic that Make cannot express visually.

Winner: Make, for pure visual clarity. n8n, for technical flexibility.

2. Integrations

Make offers 3,000+ pre-built app integrations. Each integration comes with multiple modules (actions and triggers), giving you fine-grained control. The integration library covers everything from CRMs and marketing tools to databases and AI services.

n8n has 400+ native nodes plus thousands of community-built nodes (the community ecosystem has grown to over 5,800 nodes as of early 2026). While the native count is lower, n8n’s HTTP Request node and custom code capabilities mean you can connect to any app with an API.

Winner: Make, on pre-built integrations. n8n, on extensibility and community growth.

3. Workflow Complexity

Both platforms handle complex workflows well, but differently.

Make excels at visual complexity. Routers, filters, iterators, aggregators, and error handlers are all visual components you drag and connect. You can build multi-branch workflows that remain readable. Data mapping between modules is intuitive with built-in functions for text, dates, math, and arrays.

n8n excels at programmatic complexity. Full JavaScript and Python execution within workflows, complex branching with merge nodes, retry logic, sub-workflows, and the ability to process data in ways that no visual builder can express. If your workflow needs custom API calls, data parsing, or algorithmic logic, n8n is more capable.

Winner: Tie. Make for visual workflow design, n8n for code-heavy logic.

4. AI Capabilities

Both platforms have embraced AI in 2026.

Make offers:

• Native modules for OpenAI, Claude (Anthropic), Gemini, and Stability AI
• Custom AI provider connections on all paid plans (added November 2025)
• AI-powered scenario building assistance
• Text generation, image generation, and speech-to-text modules
• Integration with AI APIs through HTTP modules

n8n offers:

• Native AI Agent node that decides which tools to use based on input
• Built-in LLM nodes for OpenAI, Claude, and Ollama (local LLMs)
• Local AI model support for complete data privacy
• MCP (Model Context Protocol) support
• Vector store integration for RAG workflows
• AI chain nodes for building complex AI pipelines

Winner: n8n, for AI depth and local model support. Make, for ease of AI integration.

5. Pricing Model

This is a critical difference and often the deciding factor.

Make charges per operation. Every action a module performs counts as one operation. A scenario with 5 modules that runs once uses 5 operations. Data that passes through a router, filter, or iterator also counts. This means complex scenarios consume operations fast.

n8n charges per execution. One execution equals one complete workflow run, regardless of how many nodes it contains. A workflow with 20 nodes that runs once counts as 1 execution. This makes n8n dramatically cheaper for complex workflows.

Winner: n8n, especially for multi-step workflows.

6. Security and Data Privacy

Make is SOC 2 Type II certified and GDPR compliant. Data is processed on cloud infrastructure with encryption in transit and at rest. There is no self-hosting option. Make does offer a data residency option for EU-based processing.

n8n gives you full data sovereignty through self-hosting. Run it on your own servers, behind your firewall, in any country. n8n Cloud is hosted in Frankfurt (Azure Germany) for EU data residency. Self-hosting enables compliance with GDPR, HIPAA, SOC 2, and any data residency regulation.

Winner: n8n, for data privacy and regulatory compliance.

7. Error Handling

Make has excellent built-in error handling. You can attach error handler routes to any module, set up retry logic, use “break” directives to skip failed items, and create fallback paths. The visual error handling is one of Make’s strongest features.

n8n supports error workflows, retry on failure, and custom error handling through code nodes. The error handling is flexible but requires more manual setup compared to Make’s visual approach.

Winner: Make, for built-in visual error handling.

Make vs n8n: Pricing Comparison (2026)

Make Pricing

Plan Monthly Price Annual Price (per month) Operations/Month

Free $0 $0 1,000

Core $10.59 $9.00 10,000

Pro $18.82 $16.00 10,000

Teams $34.12 $29.00 10,000

Enterprise Custom Custom Custom

Note: Each module action counts as one operation. A 5-module scenario running once uses 5 operations. Additional operations can be purchased on all plans.

n8n Pricing

Cloud Plans

Plan Monthly Price Annual Price (per month) Executions/Month

Starter $24 $20 2,500

Pro $60 $50 10,000

Business $800 Custom 40,000

Self-Hosted

Plan Cost Details

Community Edition Free Unlimited executions, unlimited workflows, all integrations

Enterprise (Self-Hosted) Custom SSO, role-based access, advanced governance

Real-World Cost Comparison

Let us compare what a typical automation costs on each platform.

Scenario: A 5-step workflow that runs 1,000 times per month.

• Make: 1,000 runs x 5 operations = 5,000 operations. Fits in the Core plan at $10.59/month
• n8n Cloud: 1,000 executions. Fits in Starter plan at $24/month
• n8n Self-Hosted: $0 software + $50–$100/month server costs

For simple workflows, Make is actually cheaper. But as complexity grows:

Scenario: A 15-step workflow with branches that runs 1,000 times per month.

• Make: 1,000 runs x 15+ operations = 15,000+ operations. Needs additional operation packs beyond the base 10,000
• n8n Cloud: Still just 1,000 executions. Same Starter plan at $24/month
• n8n Self-Hosted: Still $0 software cost

The more complex your workflows, the more n8n’s per-execution pricing saves you.

Make vs n8n: Quick Comparison Table

Feature Make n8n

Formerly Integromat ,

Pricing Model Per operation (per module action) Per execution (per workflow run)

Free Plan 1,000 operations/month Unlimited (self-hosted)

Integrations 3,000+ 400+ native, 5,800+ with community

Self-Hosting No Yes (free Community Edition)

Visual Builder Flowchart-style (best in class) Node-based (functional)

Code Support Limited (built-in functions) Full JavaScript and Python

AI Features OpenAI, Claude, Gemini modules AI Agent node, local LLMs, MCP

Error Handling Visual, built-in (excellent) Code-based, flexible

Best For Visual thinkers, power users Developers, privacy-focused orgs

Compliance SOC 2, GDPR GDPR, HIPAA, SOC 2 (self-host)

Learning Curve Medium Medium to High

When to Choose Make

Make is the right choice when:

• You think visually. Make’s flowchart builder is the most intuitive visual automation tool available. If you want to see your entire workflow as a diagram, Make is unmatched.
• You need polished error handling. Built-in error routes, retry logic, and fallback paths are visual and easy to configure without code.
• Your workflows are moderately complex. Routers, filters, iterators, and aggregators handle branching and looping elegantly within the visual builder.
• Budget is tight and workflows are simple. The free plan offers 1,000 operations, and the Core plan at $10.59/month is one of the cheapest paid automation plans available.
• You are migrating from Zapier. Make feels familiar but gives you far more control and better pricing. The visual builder is easy to learn for Zapier users.
• You need 3,000+ native integrations. More than n8n’s native count, though fewer than Zapier’s 8,000+.

When to Choose n8n

n8n is the right choice when:

• Data privacy is critical. Self-host on your own infrastructure. Your data never touches third-party servers. Essential for healthcare, finance, legal, and government.
• You need custom code in workflows. Full JavaScript and Python execution within nodes. Parse JSON, transform data, call APIs with custom headers, handle edge cases programmatically.
• You run complex, multi-step workflows. Per-execution pricing means a 20-node workflow costs the same as a 2-node workflow. For complex automations, this saves significant money.
• You want free unlimited automation. The Community Edition is free forever with no execution limits. Pay only for your server.
• You want local AI. Run Ollama or other local LLMs within your workflows. Build AI automation without sending data to OpenAI or Anthropic.
• Your team is technical. Developers and DevOps engineers will find n8n’s code-first approach more natural than Make’s visual paradigm.

Make vs n8n for WordPress Users

Both platforms integrate with WordPress, but in different ways.

Make + WordPress:

• Native WordPress module with triggers and actions for posts, pages, users, and media
• WooCommerce module for order and product automation
• Webhook module for receiving WordPress hook data
• Visual data mapping makes WordPress API responses easy to parse
• Great for content publishing workflows, form-to-CRM pipelines, and e-commerce automation

n8n + WordPress:

• Native WordPress node for CRUD operations on posts, pages, and users
• Direct WooCommerce node for order processing
• HTTP Request node for custom WordPress REST API endpoints, custom post types, and ACF fields
• Self-host n8n alongside WordPress for zero-latency, same-server automation
• Build complex content pipelines with AI-generated posts, automatic image processing, and multi-platform publishing

For standard WordPress automations, Make’s visual builder makes setup faster. For custom WordPress development with REST API integration, BuddyPress automation, or WooCommerce order logic, n8n gives you more control.

How Both Compare to Zapier

If you are evaluating all three, here is the quick breakdown:

Factor Zapier Make n8n

Integrations 8,000+ 3,000+ 400+ native

Ease of Use Easiest Visual, moderate Technical

Pricing Most expensive Best value (simple) Best value (complex)

Complexity Basic to moderate Moderate to advanced Advanced to expert

Self-Hosting No No Yes (free)

Best For Non-technical teams Power users Developers

Many teams use a combination. Zapier for quick, simple automations. Make for visual, moderately complex workflows. n8n for heavy-duty, privacy-sensitive, or code-heavy automation.

Read our full Zapier vs n8n comparison here.

The Verdict: Make or n8n?

Here is the decision matrix:

Your Priority Choose

Best visual workflow builder Make

Lowest cost for simple workflows Make

Lowest cost for complex workflows n8n

Data privacy and self-hosting n8n

Custom code in workflows n8n

Visual error handling Make

More native integrations Make

Local AI model support n8n

Free unlimited automation n8n

Regulated industry compliance n8n

Team with mixed technical skills Make

Developer-first team n8n

Both tools are excellent. Make gives you the best visual automation experience with solid pricing. n8n gives you the most flexibility, privacy, and cost control for technical teams.

The best approach? Try both. Make offers a free plan with 1,000 operations. n8n’s Community Edition is free with unlimited executions. Spend an afternoon building the same workflow in each and see which one clicks with your team.

Frequently Asked Questions

Is Make better than Zapier?

For most users, yes. Make offers better visual workflow design, more complex automation capabilities, and significantly lower pricing. Zapier’s advantage is its 8,000+ integration library and simpler learning curve. If you need a niche integration that only Zapier has, stick with Zapier. Otherwise, Make is the better value.

Is n8n really free?

Yes. The n8n Community Edition is free with unlimited workflows and unlimited executions. You self-host it on your own server (typically $50–$100/month for infrastructure). n8n Cloud plans start at $24/month if you prefer managed hosting.

Can I use Make without coding?

Absolutely. Make is designed as a no-code platform. The visual builder, built-in data transformation functions, and pre-built modules mean you can build complex automations without writing any code. Some advanced use cases may benefit from Make’s built-in function syntax, but it is not required.

Which is easier to learn, Make or n8n?

Make is easier for most people. The visual flowchart builder is intuitive, and the module configuration is straightforward. n8n has a steeper learning curve, especially if you want to leverage its code capabilities. However, n8n’s basic drag-and-connect workflow building is also approachable for beginners.

Can I migrate from Make to n8n?

There is no automatic migration tool. You need to rebuild workflows manually. However, both platforms use similar concepts (triggers, actions, conditions), so recreating a Make scenario in n8n is straightforward if you understand the original logic.

Which handles more data volume?

n8n, when self-hosted. There are no execution limits, and you control the server resources. Make’s operation-based pricing can get expensive at high volumes, though additional operation packs are available on all plans.

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