Conductor (Netflix) vs n8n
| Tagline | Microservice workflow orchestration engine open-sourced by Netflix | Fair-code workflow automation with 400+ integrations and native AI nodes |
| Category | Automation & iPaaS | Automation & iPaaS |
| Replaces | Zapier, Workato | Zapier, Make, Workato |
| GitHub stars | 32k | 206k |
| Language | Java | TypeScript |
| License | Apache-2.0 | Sustainable Use License |
| Self-host difficulty | 4/5 Involved | 2/5 Simple |
| Deploy options | Docker Docker Compose Kubernetes Manual | One-Click Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | yesterday | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Conductor (Netflix)
- Workflow logic defined in JSON/YAML; no drag-and-drop canvas for non-technical users
- Requires Elasticsearch and a relational DB for production — non-trivial infrastructure
- Community edition lacks built-in RBAC available in the commercial Orkes Cloud offering
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.
Bottom line
Choose n8n if you want the lower-effort setup; choose n8n for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.
Conductor (Netflix)
Microservice workflow orchestration engine open-sourced by Netflix