Prefect
dataops orchestration
Modern workflow automation platform
Prerequisites:
python
Pros and Cons
Ventajas
- + Simple Pythonic API
- + Hybrid execution model
- + Modern cloud UI
- + Flexible retry and scheduling
- + Less boilerplate than Airflow
- + Simpler and more Pythonic API than Airflow
- + Local execution without infrastructure
- + Modern and clean UI
- + Simple decorators to define flows
- + Dynamic and flexible orchestration
- + Free cloud for small projects
Desventajas
- - Cloud pricing model
- - Fewer operators than Airflow
- - Breaking changes between versions
- - Smaller ecosystem than Airflow
- - Less mature than alternatives
- - Documentation can be confusing between v1 and v2
- - Fewer enterprise integrations
- - Prefect Cloud has costs for scaling
Casos de Uso
- Data pipeline automation
- ML workflow orchestration
- Event-driven pipelines
- Hybrid cloud workflows
- Modern data pipelines
- ML/MLOps workflows
- Task automation
- Small to medium scale ETL
- Microservices orchestration
- CI/CD for data