I recently came across a new orchestration tool, Prefect, that’s gaining traction for simplifying data workflows. Its ability to monitor data pipeline performance in real-time could significantly enhance efficiency and integrity, especially when handling large datasets. Has anyone else tried it, and what are your thoughts on its utility compared to Airflow?
But , I haven’t used Prefect yet, but the real-time monitoring sounds promising. I’m curious if it really holds up against Airflow’s ecosystem; I’ve found Airflow’s scalability easier to manage for larger teams. Has anyone compared specific features or performance metrics between the two?
I’ve recently integrated Prefect into my workflow and the real-time monitoring has definitely helped catch issues before they escalate. I still think Airflow has a stronger community and plugins, so that’s worth considering if you need extensive customization. Have you looked into how Prefect handles larger datasets yet?
I’ve heard great things about Prefect’s flexibility, especially in handling complex workflows. My team once struggled with scaling issues in Airflow, and it would’ve been nice to have that agility. Have you tried any specific features yet, like its retry logic?