Orchestration tools help automate and manage the various stages of machine learning workflows:

• Apache Airflow is a general-purpose workflow orchestrator. It excels at scheduling and managing complex DAGs (Directed Acyclic Graphs) and can be used to coordinate data preprocessing, model training, and deployment.
• Kubeflow is a Kubernetes-native ML workflow orchestration platform designed for running machine learning pipelines in containerized environments. It provides a tailored UI, model versioning, and tools like Kubeflow Pipelines for end-to-end workflow automation.

Snowplow integrates well with these orchestration platforms by providing high-quality, real-time behavioral data, which can feed into training or inference stages of the ML pipeline.