aws-samples/mlops-pipeline-prestodb

This project is a classic 'reference implementation' from AWS Samples. It has extremely low engagement (4 stars in over 2 years) and zero velocity, indicating it is likely a stale artifact of a specific consultancy engagement or a point-in-time demo. There is no technical moat; it is composed entirely of standard AWS SDK calls and Presto queries. From a competitive standpoint, this is 'tutorial-ware.' Modern AWS services like SageMaker Canvas, Data Wrangler, and Amazon DataZone have effectively internalized these workflows, making manual pipeline templates like this one obsolete. Any frontier lab or major cloud provider (specifically AWS itself) provides first-class, managed versions of this logic. The displacement horizon is effectively immediate, as more robust, managed alternatives already exist within the AWS console.