Conductor (Netflix) vs Kestra
| Tagline | Microservice workflow orchestration engine open-sourced by Netflix | Event-driven orchestration platform for scheduled and API-triggered workflows |
| Category | Automation & iPaaS | Automation & iPaaS |
| Replaces | Zapier, Workato | Zapier, Workato |
| GitHub stars | 9.5k | 27k |
| Language | Java | Java |
| License | Apache-2.0 | Apache-2.0 |
| Self-host difficulty | 4/5 Involved | 3/5 Moderate |
| Deploy options | Docker Docker Compose Kubernetes Manual | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 1 month ago | 5 days 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.
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
Kestra
- YAML-declarative workflows are more engineering-oriented than no-code Zapier flows.
- Enterprise edition gates SSO, RBAC, multi-tenancy, audit logs, and worker isolation.
- Connectors are plugins focused on data/infra systems rather than consumer SaaS apps.
- Production self-hosting benefits from Postgres plus a queue, raising operational overhead.
Bottom line
Choose Kestra if you want the lower-effort setup; choose Kestra for the larger community and ecosystem. Kestra has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Conductor (Netflix)
Microservice workflow orchestration engine open-sourced by Netflix
Kestra
Event-driven orchestration platform for scheduled and API-triggered workflows