Here’s the difference between Kubeflow and Astronomer. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Astronomer is an open-source data integration platform that helps data engineers to collaboratively contribute to the code which can be used by data scientists/engineers for integrating web applications. It is a hosted data pipeline service that can be used to connect various data source like oracle, mysql, salesforce etc to destinations like cloud platform amazon redshift, bi tools, google analytics and website analytics tools like kissmetrics. The company also provides implementation services to the companies with no data engineer.
Overview | ||
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Categories | Workflow Orchestration | Workflow Orchestration |
Stage | Mid Stage | Mid Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | On Prem | SaaSOn Prem |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | US | US |
Companies using it | ||
Contact info |