Compare - Airflow VS Kubeflow

Here’s the difference between Airflow and Kubeflow. The comparison is based on pricing, deployment, business model, and other important factors.

About Airflow

Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.

About Kubeflow

Kubeflow provides an open-source machine learning toolkit for Kubernetes. Enables users to train, deploy and manage a machine learning stack on Kubernetes. Is compatible with PyTorch, Apache MXNet, MPI, XGBoost, Chainer & more and can be integrated with Istio and Ambassador.

Comparison Table

Overview
CategoriesWorkflow OrchestrationWorkflow Orchestration
StageEarly StageMid Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentSaaSOn Prem
Business ModelOpen SourceOpen Source
PricingNot AvailableFreemium
LocationUSUS
Companies using it
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