Kestra vs Temporal
| Tagline | Event-driven orchestration platform for scheduled and API-triggered workflows | Durable execution engine for resilient long-running business workflows |
| Category | Automation & iPaaS | Automation & iPaaS |
| Replaces | Zapier, Workato | Zapier, Workato |
| GitHub stars | 27k | 12k |
| Language | Java | Go |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 4/5 Involved |
| Deploy options | Docker Docker Compose Kubernetes Manual | 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.
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.
Temporal
- No visual no-code editor; all workflows must be written by developers in a supported SDK language
- Production deployment requires Cassandra or PostgreSQL plus Elasticsearch — significant infrastructure
- Self-hosted Web UI has limited analytics compared to Temporal Cloud
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.
Kestra
Event-driven orchestration platform for scheduled and API-triggered workflows