n8n vs Prefect
| Tagline | Fair-code workflow automation with 400+ integrations and native AI nodes | Modern Python workflow orchestration for data pipelines and automation |
| Category | Automation & iPaaS | Automation & iPaaS |
| Replaces | Zapier, Make, Workato | Zapier, Make |
| GitHub stars | 194k | 18k |
| Language | TypeScript | Python |
| License | Sustainable Use License | Apache-2.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | One-Click Docker Docker Compose Kubernetes Manual | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 5 days ago | 1 month ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
n8n
- Source-available (Sustainable Use License), not true OSI open source; some enterprise features (SSO, log streaming, external secrets) are gated behind paid tiers.
- Self-hosted instances require you to manage your own queue/Redis and Postgres for scaling and reliability.
- Far fewer pre-built app connectors than Zapier's 6,000+ catalog.
- Concurrency and execution throughput on the free self-hosted tier require manual queue-mode tuning.
Prefect
- Workflows are defined entirely in Python code; no drag-and-drop canvas for non-developers
- Self-hosted server lacks some cloud-tier features like SLA alerts and log streaming
- Trigger-based SaaS integrations require custom code rather than ready-made connectors
Bottom line
Choose n8n if you want the lower-effort setup; choose n8n for the larger community and ecosystem. n8n has seen more recent development. Open each guide below for deploy steps and the full feature gap.