Make vs Zapier vs n8n: Which Automation Platform?
Three platforms dominate the no-code/low-code automation space for service businesses: Zapier, Make (formerly Integromat), and n8n.
All three can automate the same core workflows — CRM updates, email sequences, lead routing, Slack notifications. But they differ significantly in pricing model, complexity ceiling, execution flexibility, and total cost of ownership.
Here's the breakdown.
Zapier
Strengths:
- Largest app library (6,000+ integrations)
- Easiest learning curve — if you can use a spreadsheet, you can use Zapier
- Best for simple, linear workflows (trigger → action → action)
- Excellent documentation and community support
- Native integrations with almost every mainstream SaaS tool
Weaknesses:
- Pricing scales sharply with volume — at 50,000+ tasks/month, Zapier can cost £400-£800+/month
- Limited logic complexity — conditional paths, loops, and branching require workarounds
- No on-premises deployment option (everything runs in Zapier's cloud)
- Error handling is limited
Best for: Small to medium service businesses building their first automations. If you need "when a form is submitted, create a CRM contact and send a welcome email" — Zapier is the fastest path.
Not best for: Complex multi-step automations with conditional logic, high-volume workflows where task counts make pricing prohibitive, or businesses that need deep customisation.
Pricing: Free tier (100 tasks/month). Paid starts at £16/month. Professional (50,000+ tasks): £120-£200+/month.
Make (formerly Integromat)
Strengths:
- Visual scenario builder is genuinely powerful — complex logic is easy to map
- Superior conditional routing (if/else paths, loops, iterators)
- Much better pricing at volume — 50,000 operations costs £29/month vs Zapier's £150+
- Real-time execution for time-sensitive workflows
- Strong error handling and retry logic
- Native AI tools integration
Weaknesses:
- Steeper learning curve than Zapier
- Some app integrations are less polished than Zapier equivalents
- Not all 6,000+ apps have native Make modules (some require HTTP requests)
Best for: Service businesses building moderately complex operations — multi-branch lead routing, proposal follow-up sequences with conditional logic, AI-integrated workflows. This is the platform we recommend for most of our deployments.
Not best for: Complete automation beginners (start with Zapier, move to Make when you hit its limits). Or businesses that need very deep custom code integration throughout (use n8n instead).
Pricing: Free tier (1,000 operations/month). Paid starts at £9/month. Professional: £29-£59/month for most service business volumes.
n8n
Strengths:
- Open-source with self-hosting option (zero cost at any volume if self-hosted)
- Most powerful platform for complex logic, custom code, and developer-level customisation
- No per-operation pricing — flat hosting cost
- Full transparency (source code is available)
- Best for complex AI agent workflows that involve code execution
Weaknesses:
- Highest technical barrier — comfortable with JSON, APIs, and basic scripting is practically required
- Self-hosting requires server setup and maintenance
- Fewer native integrations than Make or Zapier (many require custom HTTP configuration)
- Support is community-based, not enterprise-grade
Best for: Businesses with technical resources (or working with a technical partner) building sophisticated AI automation. If you want to run a full multi-agent system at zero per-operation cost at any scale, n8n self-hosted is often the right answer.
Not best for: Non-technical founders or small teams without developer capacity. The time investment in setup and maintenance has a real cost.
Pricing: Free (self-hosted). Cloud pricing: €20-€50/month. Enterprise: custom.
The Decision Matrix
| Factor | Zapier | Make | n8n | |---|---|---|---| | Ease of use | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | | Complexity ceiling | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | Integration breadth | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | | Cost at volume | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | AI integration | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | Error handling | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | | Community support | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
Our Typical Recommendation by Stage
Early stage (first automation builds): Start with Make. The learning curve is steeper than Zapier but the complexity ceiling is much higher — you'll reach Zapier's limits quickly if you're serious about automation.
Growth stage (active automation programme): Make remains the best balance of power and usability for most service businesses. Most of our client infrastructure runs on Make.
Scale stage (high volume, complex AI workflows): n8n self-hosted for cost and customisation reasons, with Make remaining for the simpler, high-frequency workflows.
Never use Zapier for: Volume-critical workflows where you'll exceed 10,000+ tasks/month. The cost structure makes it uneconomical at scale.
The Real Differentiator: Architecture, Not Platform
I want to be honest: the platform matters much less than the architecture.
A well-designed Zapier workflow will outperform a poorly-designed Make workflow. The thinking that goes into how the automation is structured — what triggers what, how errors are handled, how data flows between systems — is far more important than which platform it runs on.
Platform selection is one decision you make once. Architecture decisions you live with every day.
Book a free audit call and we'll assess which platform and architecture makes sense for your specific automation needs — and build it in the right tool for your team's capacity.