TopN AnalyticsTechnology
Airflow
The open-source standard for orchestrating data pipelines as code, with clear visibility into what ran, when, and what failed.
Our Experience
How we typically use it
We use Airflow to orchestrate multi-step pipelines where dependency ordering, retries, and failure alerting actually matter.
Implementation Patterns
Where it fits
- DAG-based orchestration for multi-step ETL/ELT pipelines
- Sensor-based triggers for event-driven pipelines
- Centralized failure alerting instead of silent pipeline breakage
FAQs
Common questions
- Is Airflow overkill for our pipelines?
- If you have more than a couple of dependent steps or need reliable failure alerting, it's usually worth it. For a single simple job, it may not be.