n8n vs Zapier
n8n and Zapier both automate workflows, but they serve different organisations. This comparison covers pricing, data ownership, AI integration and enterprise capability.
Quick answer: n8n is the stronger choice for businesses that need self-hosting, complex logic, native LLM integration or predictable costs at scale. Zapier is better when you need speed and simplicity with no infrastructure overhead.
What is the difference?
n8n is an open-source, self-hostable workflow automation platform with no per-task pricing and native LLM integration. Zapier is a cloud-only SaaS platform that prioritises ease of use and broad app coverage, with per-task pricing that scales with usage.
Feature-by-feature comparison
n8n vs Zapier across the dimensions that matter most.
| Feature | n8n | Zapier |
|---|---|---|
| Pricing model | Self-hosted: infrastructure cost only. Cloud: flat monthly fee. | Per-task (Zap) pricing — costs scale with automation volume. |
| Self-hosting | Yes — Docker, Kubernetes, any cloud or on-premise server. | No — cloud only. |
| Data residency | Full control — data stays on your infrastructure. | Data processed on Zapier servers in the US. |
| LLM / AI integration | Native OpenAI and Claude nodes built in. | Available via OpenAI integration — limited step complexity. |
| Conditional logic | Complex branching, loops, sub-workflows standard. | Basic if/then filters — limited branching depth. |
| Error handling | Built-in retry, error workflows and alerts. | Basic retry — limited error routing. |
| App integrations | 400+ native integrations plus any REST API. | 6,000+ native app integrations. |
| Learning curve | Moderate — visual builder with code options. | Low — no-code, beginner-friendly. |
| GDPR compliance | Self-hosted deployments are fully GDPR-compliant. | Relies on Zapier DPA — data leaves your infrastructure. |
| Open source | Yes — Apache 2.0 licence. | No — proprietary SaaS. |
When to choose each
Choose n8n when:
- You need GDPR or data residency compliance.
- You have complex multi-step workflows with branching logic.
- You want to embed AI (OpenAI, Claude) in automation workflows.
- Automation volume is high and per-task pricing would be expensive.
- Your team has developer resources to manage a self-hosted instance.
Choose Zapier when:
- You need the fastest possible setup with no infrastructure.
- Your workflows are simple triggers-and-actions across popular SaaS tools.
- You need one of Zapier's 6,000 app integrations not yet in n8n.
- Your team has no developer resources and needs a no-code solution.
Cost comparison
n8n
Self-hosted n8n is free (infrastructure costs only). n8n Cloud starts at approximately $20/month for small teams with a flat fee regardless of task volume.
Zapier
Zapier Free supports 100 tasks/month. Paid plans start at approximately $20/month for 750 tasks and scale up — high-volume automations can cost hundreds per month.
Self-hosted n8n performance depends on your infrastructure. n8n Cloud and Zapier have comparable latency for most integrations. n8n handles high-frequency, high-volume workflows more cost-effectively at scale.
n8n self-hosted keeps all data, credentials and workflow logic on your own infrastructure — meeting strict GDPR and data residency requirements. Zapier processes data through its cloud, which requires trust in Zapier's DPA and security certifications.
Common use cases
Common questions
Frequently asked questions about n8n vs Zapier.
Related services
Related comparisons
Every business has different requirements
Integration, security and scalability constraints vary by organisation. The right choice depends on your existing stack, team size, compliance requirements and the specific workflow you are trying to automate or build.
Talk to our engineering team. We will assess your situation and recommend the approach that fits — not the one that sounds most impressive.
Reviewed by the Ascii-Core Engineering Team — specialists in AI engineering, workflow automation, product development and enterprise software architecture. Content reviewed regularly to reflect current technologies and implementation practices. · Updated June 2026