- Zapier is the easiest and has the largest app library, ideal for simple, fast automations.
- Make offers visual power for multi-step logic at a lower cost per operation for many workflows.
- n8n gives the most control: self-hosting, custom code and strong native AI-agent support.
- Pricing models differ (tasks vs operations vs executions), compare on your real volume.
- Many businesses use two: Zapier or Make for quick wins, n8n for heavy or sensitive workloads.
Zapier, Make (formerly Integromat) and n8n are the three automation platforms we’re asked about most. All three connect apps and automate workflows; they differ in who they’re built for, how they charge and how far you can push them. Pricing and features change often, so treat this as a framework and confirm current plans on each vendor’s site.
The short answer
Side-by-side comparison
| Zapier | Make | n8n | |
|---|---|---|---|
| Best for | Fast, simple automations | Complex visual scenarios | Technical teams, AI agents, scale |
| Ease of use | Easiest | Moderate | Steeper |
| Pricing unit | Tasks | Operations / credits | Executions (cloud) or self-host |
| Self-hosting | No | No | Yes |
| Custom code | Code steps (limited) | Limited | JavaScript & Python nodes |
| AI agents | AI steps & agents | AI modules & agents | Native agent nodes with tools & memory |
| App integrations | Largest library | Very large | Large + any HTTP API |
| Error handling | Basic-good | Advanced (routes, directives) | Advanced (error workflows) |
Zapier: fastest from idea to automation
Zapier’s strength is breadth and simplicity. If two SaaS apps exist, they probably connect on Zapier, and non-technical team members can build working Zaps in minutes. The trade-off is cost at scale: every action consumes tasks, so high-volume, many-step workflows get expensive. We use Zapier for quick wins and for apps only Zapier supports, see Zapier automation.
Make: visual power at a sensible price
Make’s visual canvas handles branching, iteration, aggregation and data transformation elegantly, and its pricing is often more economical for complex, multi-step workflows. Scenario design matters: inefficient designs burn operations. We use Make for most mid-complexity business automations, see Make.com automation.
n8n: control, code and AI agents
n8n is a fair-code platform you can self-host or use in the cloud. It combines a visual builder with real code nodes and has become a favorite for building AI agents with tools and memory. Self-hosted, there’s no per-task pricing, you pay for infrastructure and maintenance instead, and data stays on servers you control. We use n8n for high-volume workflows, sensitive data and agentic AI, see n8n automation.
Cost at scale: an example
Imagine a workflow that runs 20,000 times a month with 8 steps each. On a per-task or per-operation model, that’s on the order of 160,000 billable actions a month, enough to push you into higher tiers on Zapier and, depending on design, Make. On self-hosted n8n, the same volume runs on a modest server. For low-volume automations, the difference is negligible and ease of use wins.
How we choose per workflow
- Volume: thousands of runs per day favors n8n or an efficient Make design.
- Complexity: branching and data transformation favor Make or n8n.
- Data sensitivity: regulated or confidential data favors self-hosted n8n.
- Who maintains it: non-technical owners favor Zapier or Make.
- AI agents: tool-using agents with memory favor n8n.
Migrating between platforms
There’s no one-click migration, workflows are rebuilt on the new platform. It’s a good moment to consolidate duplicate automations, add error handling and document everything. We regularly move clients from Zapier to Make or n8n to reduce costs at scale.
Written by Abdul Moeez, AI Automation Expert
Abdul designs and builds the AI voice agents, chatbots and automation systems Voxil AI ships: from conversation design and integrations to testing on real calls.