# Kubeflow alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 246 of the 252 answers in the 1 category where Kubeflow holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/kubeflow/alternatives/

## Named instead, most often (every category and segment added)

- Databricks Mosaic AI: 32
- Google Vertex AI: 26
- Azure Machine Learning: 24
- Amazon SageMaker: 21
- KNIME Analytics Platform: 12
- Google Colab: 11

## ML platforms

**Small business**: 84 of 84 answers did not name Kubeflow (Kubeflow is #14 of 14 at 0%).

- Google Vertex AI: first choice in 17 of those 84
- KNIME Analytics Platform: first choice in 10 of those 84
- MLflow: first choice in 7 of those 84
- Amazon SageMaker: first choice in 6 of those 84
- Google Colab: first choice in 6 of those 84
- Akkio: first choice in 5 of those 84
- Azure Machine Learning: first choice in 5 of those 84
- H2O.ai: first choice in 3 of those 84

**Mid-market**: 83 of 84 answers did not name Kubeflow (Kubeflow is #13 of 13 at 0%).

- Azure Machine Learning: first choice in 12 of those 83
- Databricks Mosaic AI: first choice in 9 of those 83
- Amazon SageMaker: first choice in 8 of those 83
- Google Colab: first choice in 5 of those 83
- Google Vertex AI: first choice in 5 of those 83
- MLflow: first choice in 4 of those 83
- DataRobot: first choice in 2 of those 83
- KNIME Analytics Platform: first choice in 2 of those 83

**Enterprise**: 79 of 84 answers did not name Kubeflow (Kubeflow is #10 of 10 at 0%).

- Databricks Mosaic AI: first choice in 23 of those 79
- Amazon SageMaker: first choice in 7 of those 79
- Azure Machine Learning: first choice in 7 of those 79
- Domino Data Lab: first choice in 5 of those 79
- Google Vertex AI: first choice in 4 of those 79
- Dataiku: first choice in 3 of those 79
- DataRobot: first choice in 2 of those 79
- Amazon Q: first choice in 1 of those 79

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.