Prefect

About Prefect

Workflow management system designed for modern infrastructure, with a focus on simplicity, ease of use, and flexibility in defining and executing workflows.

Key Features

• 1Python-native workflow definition using `@flow` and `@task` decorators
• 2Automatic retries, caching, and concurrency control per task
• 3Prefect Cloud or self-hosted server for scheduling and observability
• 4Dynamic workflows — tasks can be created at runtime from Python logic
• 5Native integrations with dbt, Snowflake, Databricks, and Docker

How Python Data Engineers Use Prefect

Prefect lets engineers write pipelines as ordinary Python functions decorated with `@flow` and `@task`. You can run them locally during development, then deploy to Prefect Cloud or a self-hosted server for scheduling and monitoring. Prefect handles retries, state persistence, and notifications without requiring any changes to your Python logic.