Airflow

Apache Airflow is the industry standard for programmatic data pipeline orchestration, featuring dynamic DAG generation, event-driven triggers, and robust task scheduling.

When to Use

• Enterprise Data Pipeline Orchestration: Scheduling, monitoring, and authoring complex DAGs across cloud and on-premise systems.
• Modern TaskFlow API Workloads: Writing clean, Pythonic DAGs using @task and @dag decorators with automated XCom serialization.
• Dynamic Task Mapping: Fan-out and fan-in workflows processing variable numbers of files, partitions, or microservices.
• Event-Driven & Deferrable Operators: Minimizing worker slot utilization during long-running external jobs with async triggers.

Quick Start

from datetime import datetime
from airflow.decorators import dag, task