Prefect powers Data Scientists to iterate on prod code development faster and gives engineers flexibilty and scalability to host it in multiple places including on prem and on cloud. Especially easy to use for data scientists using the decorators compared to cumbersome syntax which need practice like Airflow.

I recently had the opportunity to adopt a Prefect centric ETL orchestration pattern and I have to say, it has been a game-changer. It was perfect for our situation where we had multiple locations with different setups, but wanted a common logging and deployment pattern. What impressed me the most was how user-friendly Prefect is. It's much more straightforward compared to complex solutions like Argo Events, and or relatively mature products like Airflow. If youre in the python space working on ETL, you should be using this product. But what really got me excited was Prefect's recent introduction of their AI tool called Marvin. It's fantastic for small "AI functions" and it allows us to leverage chatGPT results as a structured object type. This has added a whole new level of efficiency to our ETL processes cleaning up free text fields into structured categories. Overall, I can confidently say that Prefect has exceeded our expectations. It's been a breeze to use and has greatly improved our ETL workflow. I highly recommend it to anyone in need of a reliable ETL orchestrator.

The tool requires 1/10th the setup time as Airflow, and provides near parity in functionally. After briefly reading the (very good) documentation to get the terminology, the concepts are clear and well defined. The Perfect team is very responsive to feedback, and the gaps in functionally are shrinking constantly. Frequent updates, while making sure not to break backwards compatibility.