Alternatives to Kubeflow
6 alternatives found
Kubeflow is an open-source MLOps platform built on Kubernetes, created by Google in 2017 to make deploying machine learning workflows on Kubernetes straightforward and scalable. Kubeflow's core mission is portability — ML teams should be able to run the same pipelines locally, on-prem, or on any cloud (GCP, AWS, Azure, IBM) without code changes.
MLflow
Lighter-weight experiment tracking and model registry — easier to adopt than full Kubeflow stack
SageMaker
AWS managed ML platform — fully managed alternative to self-hosted Kubeflow on AWS
Vertex AI
GCP managed ML platform — Google's managed Kubeflow alternative on Google Cloud
Prefect
Python-native workflow orchestration — simpler orchestration for teams not on Kubernetes
Airflow
General pipeline orchestration — Airflow+MLflow is a lighter alternative to full Kubeflow
Ray
Python-native distributed ML framework — use Ray Train+Serve as Kubeflow alternative for Python teams
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