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Modern Alternatives: Dagster and Prefect - Data Pipeline Orchestration | Data Engineer Interview Prep | Repovive

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Data Engineer Interview Prep16 sections · 140 units8h total

Open in Course

Modern Alternatives: Dagster and Prefect

Beyond Airflow

Dagster: Software-defined assets approach. You define what data should exist, not how to run jobs. Built-in data quality checks. Better local development experience.

@asset
def daily_orders(raw_orders):
    return raw_orders.groupby('date').sum()

Prefect: Python-native, dynamic workflows. Easier than Airflow for complex branching logic. Cloud-hosted option simplifies operations.

When to choose:

Airflow: Industry standard, most jobs require it
Dagster: New projects, asset-centric thinking
Prefect: Dynamic workflows, simpler setup