Here’s the difference between Orchest and Kubeflow. The comparison is based on pricing, deployment, business model, and other important factors.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
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.
Overview | ||
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Categories | Workflow Orchestration | Workflow Orchestration |
Stage | Early Stage | Mid Stage |
Target Segment | Mid Size, Enterprise | Mid size |
Deployment | Open Source | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium / , Contact Sales | Freemium |
Location | Rotterdam, Netherlands | US |
Companies using it | ||
Contact info |