n8n vs Zapier vs Make: which automation platform is right for your business in 2025?
All three platforms automate workflows. The difference is how complex you can go, how much you pay as you scale, and whether you control your data.
Here's the honest comparison based on building production automation systems for Australian businesses.
The quick verdict
Zapier: Best for non-technical teams doing simple automations. Expensive at scale. Cloud-only.
Make: Visual, powerful, reasonably priced. Good middle ground. Cloud-only.
n8n: Most powerful and cost-effective for complex workflows. Can self-host. Steeper learning curve.
Now here's why each one might be right for your specific situation.
Pricing: where costs go as you scale
This is where most businesses get surprised.
Zapier pricing
Free tier: 100 tasks/month (basically useless for real businesses)
Starter: $30 USD/month for 750 tasks
Professional: $75 USD/month for 2,000 tasks
Team: $140 USD/month for 50,000 tasks
Enterprise: Custom pricing
The problem: "Tasks" count every single action. One workflow that checks email, filters results, creates a record, and sends a notification = 4 tasks. You burn through limits fast.
A business running moderate automation typically uses 10,000-50,000 tasks/month, putting you at $140+ USD ($210+ AUD) minimum.
Make pricing
Free tier: 1,000 operations/month
Core: $9 USD/month for 10,000 operations
Pro: $16 USD/month for 10,000 operations (more features)
Teams: $29 USD/month for 10,000 operations
Additional operations: $1 USD per 10,000
The advantage: Much cheaper than Zapier at scale. 50,000 operations runs you about $34 USD/month vs Zapier's $140 USD.
n8n pricing
Self-hosted: Free (open source) - you pay for hosting
Cloud starter: Free for 2,500 executions
Cloud Pro: $20 USD/month for unlimited executions
Cloud Enterprise: Custom pricing
Self-hosting costs: $20-100 USD/month depending on your hosting provider and scale. We run client n8n instances on managed hosting for $40-60 AUD/month typically.
The advantage: Pay for hosting, not per-execution. A workflow that runs 100,000 times costs the same as one that runs 1,000 times. This becomes massive savings at scale.
Complexity ceiling: what you can actually build
All three handle simple automations fine. They diverge when workflows get complex.
Zapier's limits
Good for:
- Linear workflows (trigger → action → action)
- Simple conditional logic
- Connecting common SaaS tools
- Teams with zero technical capability
Struggles with:
- Complex branching logic
- Custom data transformations
- API calls requiring authentication handling
- Workflows that need real error handling
- Anything requiring custom code beyond basic JavaScript snippets
Ceiling: You hit limits around intermediate complexity. If your workflow is "when X happens, do Y and Z" - fine. If it's "when X happens, check A, B, and C, then route to different paths with transformations" - painful.
Make's sweet spot
Good for:
- Visual workflow building with complex branching
- Moderate data transformation
- Connecting 1,500+ apps
- Teams with some technical understanding
Struggles with:
- Very complex business logic requiring extensive custom code
- Workflows needing sophisticated error handling and retry logic
- Advanced API integrations with OAuth flows
- High-volume data processing
Ceiling: Significantly higher than Zapier. You can build quite sophisticated automations visually. When you need heavy custom code, you start hitting friction.
n8n's capabilities
Good for:
- Complex multi-step workflows with sophisticated logic
- Custom code nodes (JavaScript/Python)
- Advanced API integrations
- Workflows requiring detailed error handling
- Data transformation and processing
- Building actual applications on top of automation
- AI agent orchestration and chaining
Struggles with:
- Teams with zero technical capability (requires some comfort with logic)
- Situations where cloud-only is required (though n8n Cloud exists)
- Non-technical users who need to modify workflows themselves
Ceiling: Extremely high. We've built production systems on n8n that would be impossible in Zapier and very difficult in Make. The limit is essentially your coding ability, not the platform.
Self-hosting and data sovereignty
This matters more than most businesses realize, especially in Australia.
Zapier: Cloud-only. Your workflow data and credentials live on US servers. No option for Australian data residency.
Make: Cloud-only. Similar data sovereignty considerations.
n8n: Can self-host on your own infrastructure or Australian hosting providers. Your data never leaves your control.
Why this matters:
- Compliance requirements (some industries can't send data offshore)
- Data sovereignty (Australian business data on Australian servers)
- Security policies (credentials and API keys in your infrastructure)
- Privacy regulations (especially for client data)
If you're in legal, accounting, financial services, or healthcare, self-hosted n8n might be your only compliant option.
AI and agent support in 2025
This is where the platforms are diverging rapidly.
Zapier's AI features
Added AI actions for GPT models and some pre-built AI steps. Functional but basic. You can call AI APIs, but orchestrating complex AI agents requires workarounds.
Make's AI capabilities
Better AI integration than Zapier. Can chain AI calls, handle embeddings, work with multiple AI providers. Still somewhat limited for sophisticated agent workflows.
n8n's AI agent support
Purpose-built AI agent nodes as of late 2024. You can:
- Build multi-agent systems
- Create RAG (Retrieval-Augmented Generation) workflows
- Chain AI models with conditional logic
- Implement agentic workflows with memory
- Connect AI to your actual business data
This is significant. If you're building AI-powered business systems (which is increasingly where automation is heading), n8n is architected for it. Zapier and Make feel like they're retrofitting AI features onto automation platforms.
Real-world use cases from our work
Here's what we actually build on each platform:
What we build on Zapier
Honestly? Almost nothing anymore. We used to use it for client projects where they insisted on cloud-only and had simple needs. Now we use Make for those situations.
Example of what fits: "When a form is submitted, create a record in Airtable and send a notification to Slack."
What we build on Make
Client example: Connected a property development company's website inquiries to their CRM, triggered follow-up sequences, created tasks in their project management system, and updated financial forecasts in Google Sheets based on deal stages.
Why Make not n8n: Client had non-technical team who needed to see and understand the workflows visually. Make's interface is more approachable.
Workflow complexity: Medium. About 15 steps with conditional branching.
What we build on n8n
Client example 1: Full AI-powered knowledge base for a legal practice. Ingests documents, creates embeddings, stores in vector database, handles natural language queries, retrieves relevant context, generates responses with GPT-4, logs all queries, and feeds back into CRM.
Why n8n not Make: Required custom code for embedding generation, vector database operations, complex conditional logic, and sophisticated error handling. Make couldn't handle it.
Client example 2: Accounting practice automation connecting practice management software, Xero, email, document storage, and client portal. Handles client onboarding, time capture, billing workflows, compliance reminders, and reporting.
Why n8n not Make: Needed self-hosting for data compliance (client financial data can't leave Australian servers), complex business logic, and integration with legacy API requiring custom authentication.
The technical learning curve
Be honest about your team's capability.
Zapier: Non-technical people can use it. If you can use basic software, you can use Zapier.
Make: Requires understanding of logic and workflows. Non-technical people struggle. Anyone with basic technical thinking can learn it in a few hours.
n8n: Requires comfort with technical concepts. You don't need to be a developer, but you need to understand JSON, API concepts, and logical thinking. Developers can be productive immediately.
Our experience: We can train a technically-minded operations person to use Make in 2-3 hours. n8n takes 1-2 days to reach competency, longer for complex workflows.
When to use each platform
Use Zapier when:
- Your team is completely non-technical
- You need pre-built integrations to popular tools
- Your workflows are genuinely simple
- Budget isn't a constraint
- You're doing under 5,000 tasks/month
Use Make when:
- You need visual workflow building
- Budget matters (it's much cheaper than Zapier)
- Workflows are moderately complex
- Your team has basic technical understanding
- Cloud-only is acceptable
- You're not building AI agents
Use n8n when:
- Workflows are complex or will become complex
- You're building AI-powered systems
- Volume is high (cost per execution matters)
- You need self-hosting for compliance/security
- Your team is technical or has developer support
- You want to build actual applications on automation
Our recommendation (and why we use n8n)
ThinkSwift uses n8n for nearly all client work.
The reasons:
Cost at scale: We build systems that execute hundreds of thousands of workflows monthly. On Zapier that would cost thousands per month. On n8n it costs $40-60 for hosting.
Complexity ceiling: Our work often involves AI integration, complex business logic, and sophisticated error handling. n8n doesn't limit us.
Data sovereignty: Many Australian clients require data to stay in Australia. Self-hosted n8n solves this.
AI agent capability: We're building increasingly sophisticated AI-powered systems. n8n is architected for this. Zapier and Make feel like they're catching up.
Technical control: When something breaks (and it will), we can debug, fix, and extend n8n workflows. With cloud-only platforms, you're stuck.
Long-term viability: Open source means n8n can't rug-pull pricing or shut down. Your automations are yours.
The trade-off: n8n requires technical capability. If you're a small business with zero technical resources, Make is probably better. But if you're building serious automation infrastructure, n8n's advantages compound over time.
Migration between platforms
We've migrated clients from Zapier and Make to n8n. Here's what to know:
Zapier → n8n: Straightforward conceptually. Most Zapier workflows translate directly. The work is rebuilding them in n8n's interface. Usually takes 1-2 days per 10 workflows.
Make → n8n: Easier than Zapier because Make's visual logic maps more closely to n8n's node-based system. Similar timeline.
n8n → Zapier/Make: Possible for simple workflows. Complex ones often can't be replicated because Zapier/Make can't match the functionality.
Data migration: Usually minimal because you're not moving data, just rebuilding the automation logic. Your source systems (CRM, databases, etc.) stay the same.
The 2025 considerations
What's changed recently that affects this comparison:
AI integration is now table stakes. If your automation platform can't orchestrate AI agents, you'll need a different tool within 12-24 months. n8n is ahead here.
Data sovereignty matters more. Australian businesses are increasingly cautious about offshore data hosting. Self-hosting capability is becoming a requirement, not a nice-to-have.
Costs are rising. Zapier increased prices in 2024. Make is still reasonable but expect increases. n8n's self-hosted model protects you from pricing rug-pulls.
Complexity is increasing. As businesses get comfortable with automation, they want more sophisticated workflows. Starting with a platform that can grow with you matters.
The bottom line
For Australian businesses building serious automation infrastructure, n8n is the right choice. The technical investment pays off within months as you build complex workflows that would be expensive or impossible on other platforms.
For small teams needing simple automations with zero technical capability, Make is the pragmatic choice. Cheaper than Zapier, more capable, reasonable learning curve.
Zapier is increasingly hard to justify unless you're locked into their ecosystem or absolutely cannot have anyone technical touch your workflows.
The automation platform you choose compounds. Simple workflows become complex ones. Small monthly costs become large ones. Choose based on where you're heading, not just where you are today.
Building complex automation or AI-powered workflows? We can help you evaluate which platform fits your needs and implement it properly.
About ThinkSwift
We're a creative software agency in Melbourne building custom operating systems and AI-powered automation for established businesses. We primarily use n8n because it handles the complexity our clients need while keeping costs reasonable through self-hosting. We can help you evaluate automation platforms, build workflows, and train your team to maintain them.
