Make.com vs n8n in 2026: Which Automation Platform Should You Actually Use?

The Automation Landscape in 2026

The workflow automation space has fractured into two distinct philosophies. On one side, you have Make.com (formerly Integromat) doubling down on visual simplicity and integration breadth, now boasting over 3,000 app connections and a new AI-powered workflow builder called Maia. On the other, n8n has emerged as the open-source powerhouse, fresh off a $180 million funding round at a $2.5 billion valuation, with n8n 2.0 rewriting the rules on what a self-hostable automation platform can do.

If you searched "Make vs n8n" a year ago, the answer was straightforward: Make for simplicity, n8n for technical control. That calculus has shifted dramatically. The rise of AI agent workflows, the maturation of n8n's cloud offering, and Make's push into AI-assisted building have blurred the lines. This guide cuts through the marketing to give you a practical, experience-based comparison so you can pick the right tool—or decide to use both.

Platform Overviews

Feature Comparison: Head to Head

Let's break down the core features side by side. This is where the philosophical differences between the two platforms become crystal clear.

The table tells a clear story: Make.com wins on breadth and polish; n8n wins on depth and control. Make's 3,000+ integrations mean you can connect virtually any SaaS tool without custom work. But n8n's code flexibility means you can connect to anything—even tools that don't have a pre-built integration—through custom JavaScript or Python nodes.

AI Agent Workflows: Where n8n Pulls Ahead

This is the category that has shifted the competitive dynamic most dramatically in 2026. AI agent workflows—where an LLM orchestrates multi-step tasks with tool use, memory, and decision-making—have become a primary use case for automation platforms. And here, n8n has a commanding lead.

n8n 2.0 introduced purpose-built AI nodes that let you construct agent architectures visually. You get dedicated nodes for LLM providers (OpenAI, Anthropic, Google, local models via Ollama), a native Agent node that supports ReAct-style reasoning with tool use, built-in RAG pipelines with document loaders and text splitters, and vector store integrations with Pinecone, Qdrant, Supabase, and more. You can build a fully functional AI agent that searches your documents, queries databases, calls APIs, and writes structured output—all within the visual workflow editor.

Make.com's approach to AI is different. Rather than building native AI infrastructure, it connects to AI services through its extensive integration library. You can call OpenAI, use the HTTP module for any API, and chain results together. The new Maia AI builder is impressive for a different reason: it lets you describe a workflow in natural language, and Maia generates the scenario for you. This is genuinely useful for rapid prototyping and helps non-technical users build automations faster.

But when it comes to building production AI agents that need memory, retrieval, branching logic, and custom tool integrations, n8n's native infrastructure is in a different league. If AI agents are central to your automation strategy, n8n is the clear choice in 2026.

Pricing Breakdown

Pricing is where these platforms diverge most and where the wrong choice can cost you significantly over time. The billing models are fundamentally different, and understanding the distinction is critical.

Understanding the Billing Difference

This is the single most important pricing detail: Make charges per operation, n8n charges per execution.

An "operation" in Make is every action a module performs. If your workflow has 10 steps and runs once, that's 10 operations. Run it 100 times a day, and you're burning 1,000 operations daily—30,000 per month from a single workflow.

An "execution" in n8n is one complete workflow run, regardless of how many nodes it contains. That same 10-step workflow running 100 times a day is just 100 executions—3,000 per month. For complex, multi-step workflows that run frequently, this difference is massive.

And then there's the self-hosting wildcard: run n8n on a $3.80/month VPS and you get unlimited executions, forever, for free. No per-run fees. No operation caps. Just your server costs. For teams running high-volume automations, self-hosted n8n can save thousands of dollars annually compared to Make.com.

Pros and Cons

Who Should Use What

Choose Make.com if you:

• Need quick, no-code automations and your team isn't technical. Make's visual builder is the most intuitive in the space, and with 3,000+ integrations, you can connect virtually any SaaS tool in minutes.
• Rapid prototyping is the priority. The Maia AI builder lets you describe what you want in plain English and generates a working scenario. This is unmatched for speed.
• Your workflows are relatively simple—5-15 steps, moderate volume. At this complexity level, Make's per-operation costs stay reasonable and the UX advantages are significant.
• You're a marketing or operations team that needs CRM-to-email, form-to-spreadsheet, or social media automation without touching code.

Choose n8n if you:

• Building AI agent workflows. Full stop. n8n's native Agent nodes, RAG pipelines, and vector store integrations are purpose-built for this. If AI agents are part of your automation strategy, n8n is the platform.
• Data sovereignty matters. Self-hosted n8n means your data never leaves your infrastructure. For healthcare, finance, government, or any organization with strict compliance requirements, this is non-negotiable.
• You're running high-volume workflows. Self-hosted n8n with unlimited executions for $3.80-10/month on a VPS is an order of magnitude cheaper than any cloud platform at scale.
• Your team is technical and wants the ability to drop into JavaScript or Python when the visual builder isn't enough. n8n's code nodes give you escape hatches that Make simply doesn't offer.
• You want to avoid vendor lock-in. n8n's fair-code license means you can always fork, modify, and run it yourself. Your workflows aren't trapped in someone else's cloud.

Use Both If:

This is increasingly common and surprisingly practical. Many teams run Make.com for business team automations (marketing, sales ops, HR workflows) where the 3,000+ integrations and visual simplicity shine, while running n8n self-hosted for technical workflows (AI agents, data pipelines, custom API orchestration, anything touching sensitive data). The two platforms aren't competitors so much as they occupy different positions in the automation stack.

The Verdict

Frequently Asked Questions