Kestra (27,560 Stars) vs Airflow vs Temporal: Event-Driven Orchestration Guide 2026

Kestra (27,560 stars) is the fastest-growing event-driven orchestration platform. This guide compares it with Airflow and Temporal, then walks through a real scheduled pipeline.

💡 What You Will Learn

Kestra (27,560 stars) is the fastest-growing event-driven orchestration platform. This guide compares it with Airflow and Temporal, then walks through a real scheduled pipeline.

## The short answer **kestra-io/kestra** (27,560 stars, Java) is an event-driven orchestration and scheduling platform designed for mission-critical applications. Instead of writing Python DAGs, you declare workflows in YAML, and Kestra handles scheduling, retries, and state. It is declarative, has a built-in UI, and runs anywhere - Docker, Kubernetes, or cloud. ## Kestra vs Airflow vs Temporal | Capability | Kestra | Airflow | Temporal | |---|---|---|---| | Language | YAML-first | Python DAGs | Code (SDKs) | | Built-in UI | Yes | Yes | Web UI | | Event triggers | Native | Limited | Via code | | Stars | 27,560 | 46,389 | 22,126 | | Best for | Declarative pipelines | Python-heavy teams | Durable execution | Airflow (46,389 stars) is the veteran choice for Python data pipelines. Temporal (22,126 stars) shines for durable application workflows. Kestra wins when you want infrastructure-as-code style pipelines that non-engineers can read. ## Build your first workflow Create `hello.yaml`: ```yaml id: hello namespace: demo inputs: - id: name type: STRING tasks: - id: greet type: io.kestra.plugin.core.log.Log message: Hello {{ inputs.name }} triggers: - id: daily type: io.kestra.plugin.core.trigger.Schedule cron: "0 9 * * *" ``` Then run: ```bash docker run -p 8080:8080 kestra/kestra:latest server local # Open http://localhost:8080, create the flow, and execute it ``` The workflow runs every day at 09:00, and every execution is visible in the UI with logs and metrics. ## FAQ **Do I need to learn a new language?** No - flows are YAML. Task types cover shell, Python, SQL, HTTP, and 700+ plugins. **Can it replace Airflow?** For many teams yes, especially where DAGs are mostly standard patterns. Heavy Airflow ecosystems with hundreds of custom operators may prefer staying. **Is it free?** The core is Apache-2.0 licensed open source.