n8n, Make, and Zapier each solve the same problem in meaningfully different ways. The right choice depends on your complexity, budget, and how much control you want over your infrastructure.
Workflow automation is no longer optional for B2B companies that want to grow without proportionally growing their headcount. The three tools that dominate this space, n8n, Make, and Zapier, all let you connect apps and automate tasks without writing code. But they are meaningfully different in what they do well, what they cost, and what kind of team they are built for.
This is a practical comparison based on building production workflows with all three.
What all three tools share
All three tools follow the same basic model: a trigger (something that happens) starts a workflow, which executes a series of steps (actions). They all have visual builders. They all support hundreds of app integrations. They all let you build automations without a software engineer.
The differences are in the execution: how complex the logic can get, how reliable the workflows are at scale, how much it costs as volume grows, and how much control you have over the infrastructure.
Zapier
Zapier is the most accessible of the three. It has the largest library of app connectors (over six thousand), the most beginner-friendly interface, and the lowest barrier to getting your first automation working. For simple two-step automations (a form is submitted, send a Slack notification), Zapier is the fastest path from idea to working.
Where Zapier works best
- Simple trigger-action automations with no branching logic
- Teams with no technical background who need something running quickly
- Connecting popular SaaS tools that are already in Zapier's connector library
- Low-volume workflows where the per-task pricing model is manageable
Where Zapier falls short
Zapier's pricing model charges per task (each step in an automation counts as a task). For high-volume workflows, this becomes expensive fast. Its logic capabilities are also limited: conditional branching, loops, and error handling are possible but clunky. For complex, multi-step workflows with conditional paths, Zapier is the wrong tool.
Make (formerly Integromat)
Make sits in the middle of the three in terms of complexity and price. It is visually more powerful than Zapier, with a canvas-based builder that makes it easy to see the full flow of a complex automation at once. It handles conditional logic, loops, data transformation, and error routing significantly better than Zapier.
Where Make works best
- Complex multi-step workflows with branching logic and filters
- Data transformation: reformatting, mapping, and manipulating data between apps
- Teams that need visual clarity over their full automation architecture
- Mid-volume workflows where Zapier's per-task pricing would become expensive
Where Make falls short
Make's pricing, while more favorable than Zapier for complex workflows, still scales with operations volume. The interface, while powerful, has a steeper learning curve than Zapier for new users. And for very custom integrations (custom webhooks, complex API calls with custom authentication), Make can require workarounds that n8n handles more cleanly.
n8n
n8n is open-source and can be self-hosted, which changes the cost and control equation entirely. It is the most powerful of the three for technically capable teams: it allows custom code nodes (JavaScript), more flexible API handling, and native AI integrations that make it particularly well-suited for AI-powered workflows.
Where n8n works best
- Teams with a developer or technical operator who can configure it
- High-volume workflows where per-task pricing would be prohibitive
- Custom integrations with APIs that do not have pre-built connectors
- AI-assisted workflows that use OpenAI, Claude, or similar models as part of the logic
- Companies that want to self-host their automation infrastructure for security or compliance reasons
Where n8n falls short
Self-hosting requires maintenance. The cloud version of n8n is available and well-priced, but the interface is less polished than Make for non-technical users. Building in n8n without any technical background is significantly harder than getting started in Zapier or Make.
A side-by-side comparison
- Ease of getting started: Zapier leads, Make is close, n8n requires more initial setup
- Handling complex logic: n8n and Make lead, Zapier lags
- Pricing at scale: n8n (self-hosted) is cheapest, Make is more favorable than Zapier for complex workflows
- AI integration: n8n is strongest, Make has built-in AI nodes, Zapier is adding AI features but is behind
- Connector library: Zapier has the most connectors, Make is close, n8n relies more on HTTP and custom nodes for less common tools
- Control over infrastructure: n8n (self-hosted) gives full control, Make and Zapier are cloud-only
Which one should you start with
If you have no technical background and want to get your first automation running this week: start with Zapier. You will hit its limits eventually, but you will learn what automation can do for your business faster.
If you are building workflows with multiple steps, conditional logic, or data transformation, and you have someone comfortable with visual tools: use Make. It will handle significantly more complexity without the per-task cost pain.
If you have a developer or a technically capable operator, you are building high-volume workflows, or you need AI natively integrated into your automations: n8n is the right tool. The setup cost is front-loaded, but the flexibility and cost at scale are worth it.
“The best automation tool is the one your team will actually maintain. A Zapier workflow that runs reliably beats an n8n workflow no one understands.”
SuperTelque builds production automation workflows on n8n, Make, and Zapier. We design the architecture, build the integrations, and document everything so your team can maintain it.
See our automation service