Start with the workflow, not the platform
Automation platforms are not interchangeable. The right choice depends on who will build and maintain the automations, how complex the logic needs to be, where the data lives, and how much control the business needs over its own infrastructure.
Zapier is the most widely recognised no-code automation platform, connecting over 8,000 applications through a trigger-and-action model. Make (formerly Integromat) offers a visual scenario builder with more complex branching, iteration, and data transformation. n8n is an open-source workflow automation tool that can be self-hosted, giving businesses full control over their data and infrastructure.
Each platform has a different ceiling for complexity, a different approach to data handling, and a different cost model at scale. The comparison below uses criteria rather than preferences.
Platform comparison by selection criteria
| Criterion | Zapier | Make | n8n |
|---|---|---|---|
| Technical skill required | Low — designed for non-technical users; most workflows can be built without code. | Medium — the visual canvas is intuitive but complex scenarios need more configuration. | Medium to high — setup and self-hosting require technical knowledge; cloud version is easier. |
| Workflow complexity | Suited to linear trigger-action workflows; multi-step and conditional logic is possible but can become unwieldy. | Handles branching, iteration, filtering, and data transformation well within a single scenario. | Supports complex workflows, custom code, and advanced logic; well suited to technical teams. |
| Data handling | Data passes through Zapier's cloud infrastructure; review data terms for sensitive workflows. | Data passes through Make's cloud infrastructure; enterprise plans offer additional data controls. | Self-hosted option keeps data entirely within the business's own environment; cloud version uses n8n's infrastructure. |
| App integrations | Largest library of pre-built integrations; best for common SaaS tools. | Extensive library; some integrations are more configurable than Zapier's equivalents. | Smaller built-in library but supports custom HTTP requests and API calls for any service. |
| Pricing model | Task-based pricing; costs can rise quickly at high automation volumes. | Operation-based pricing; generally more cost-effective at higher volumes than Zapier. | Self-hosted version is free; cloud version uses a workflow-based pricing model. |
| Maintenance | Low — updates and infrastructure are managed by Zapier. | Low to medium — more configuration means more to maintain. | Higher for self-hosted; cloud version reduces maintenance burden. |
When each platform tends to suit a business
Zapier tends to suit
Small businesses connecting common SaaS tools without a technical team. Simple trigger-action workflows where speed of setup matters more than cost at scale.
Make tends to suit
Businesses that need more complex data transformation, branching logic, or iteration within a single workflow, and have someone comfortable with visual configuration.
n8n tends to suit
Businesses with a technical team, data sensitivity requirements, or a need for custom integrations. The self-hosted option is particularly relevant where data must not leave the business's own environment.
Questions to ask before choosing
- Who will build and maintain the automations — a non-technical owner, an operations manager, or a developer?
- What is the most complex workflow you need to automate in the next six months?
- Which data will pass through the platform, and what are the sensitivity and compliance requirements?
- How many automations do you expect to run per month, and what is the cost at that volume?
- Do you need the platform to connect to custom or internal systems that do not have pre-built integrations?
- What happens when an automation fails — who is notified, and how is the error resolved?
A note on AI-native automation
All three platforms have introduced AI-assisted features, including natural-language workflow building, AI steps within automations, and agent-style orchestration. These capabilities are developing quickly and are worth evaluating for specific use cases, but they do not change the core selection criteria around complexity, data handling, and maintenance.
Choose the platform that fits the workflow and the team first. AI features can be evaluated as an extension once the core automation is working reliably.
From my workflow
I use a simple test when advising on platform choice: describe the most complex workflow the business needs to automate, then ask whether the team can build, test, and fix it in the candidate platform without external help. The answer usually narrows the shortlist quickly.
For businesses with data sensitivity requirements, I recommend mapping the data that will pass through the platform before signing up for any plan. The self-hosting option in n8n is a genuine differentiator for those cases, but it requires a technical owner.
Frequently asked questions
What is the difference between Zapier, Make, and n8n?
Zapier is a no-code platform suited to simple trigger-action workflows between common SaaS tools. Make offers more complex visual workflow building with better data transformation. n8n is an open-source tool that can be self-hosted, giving businesses full control over their data and infrastructure.
Which automation platform is best for a small business?
It depends on the workflow complexity, technical skill available, data sensitivity, and expected volume. Zapier suits simple, high-volume SaaS connections. Make suits more complex logic. n8n suits technical teams or businesses with strict data requirements.
Is n8n free?
The self-hosted version of n8n is free and open-source. A cloud-hosted version is available on a paid subscription. Self-hosting requires technical setup and ongoing maintenance.
Sources and further reading
Yiannis — Freelance SEO & AI Consultant, London
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