Dagster is a good choice when you need robust type safety and want detailed insights into your data pipeline. It's particularly beneficial in environments where data integrity is critical and teams want to manage their data assets alongside workflows. For example, if you're building a data pipeline that processes sensitive financial data, using Dagster can help ensure the accuracy and validation of each step, thereby reducing errors.
Prefect may be chosen over Dagster when ease of use and quick deployment are priorities, especially for teams new to workflow orchestration. For example, if a small team needs to implement a data pipeline quickly without the complexity of a more feature-rich tool, Prefect's streamlined onboarding and clear UI can help them get up and running faster.