KUBEFLOW
Kubeflow is an open-source project that provides a Kubernetes-native platform for building, deploying, and managing end-to-end machine learning workflows at scale. It offers components for model training, serving, pipelines, and experiment tracking that run on Kubernetes clusters in cloud or on-prem environments. The project is maintained by a community of contributors and is used by organizations to operationalize ML workloads rather than operating as a commercial company selling software or services.
- MLOps & ML Platforms
- Cloud Infrastructure & Hosting
- Employees
- 15
- Founded
- 2017
- Headquarters
- Sunnyvale, United States of America
What 7 Arbolus experts think of KUBEFLOW
NPS scores are consistently high, with 71% of experts giving scores of 9 and a low of 7. Most respondents in long-term deployments show high satisfaction. While Influencers are more cautious on renewal, all long-term Users report strong sentiment. Implementation stickiness is high, with the majority in more than 1 year active use.Overall Customer Sentiment: Positive
Who reviewed KUBEFLOW
- C-Suite 86% (6)
- Manager 14% (1)
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Sentiment
71 Net Promoter Score, from 7 scored reviews- Promoters 5
- Passives 2
- Detractors 0
Cumulative NPS by month
+0 over 3 months- May 9
- Jun 8
- Aug 9
Net Promoter Score across 1 reviews, accumulated up to each month. Category median 71 across 1 companies.
Written answers and themes publish with the full report.
Renewal intent
Plan to renew 0%Plan to renew, by seniority
- 0% 3 answers
- 7.5/10 Average score from undecided customers
- 9/10 Average score from customers not renewing
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