GalileoDon't just monitor AI failures. Stop them.
vs
KubeflowThe Open Source AI Platform
Comparison · MLOps Platforms · weekly run Nov 2
Galileo vs Kubeflow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Kubeflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.1 versus 0.4 for Galileo, and ranks ahead in 100% of the answers that name both.
Choose Galileo if…
- You need SOC 2 Type II coverage
Choose Kubeflow if…
- You want the brand AI engines rank higher (20.1 vs 0.4)
- AI answers describe it more positively (17% vs 0% positive)
- You need a self-hosted or on-premises option
- free and open source
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Galileo | Kubeflow |
|---|---|---|
| Visibility score | 0.4% | 20.1% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #48 | #9 |
| Share of voice | 0.2% | 5.8% |
| Mentions this run | 1 | 39 |
| Positive in AI answers | 0% | 17% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Galileo 0pp · Kubeflow 0pp over 0 weekly runs.
Engine by engine
Kubeflow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
GalileoKubeflow
Head to head in AI answers
1 engine answers name both brands
0Galileo ranked higher
1Kubeflow ranked higher
| Prompt | Engine | Galileo | Kubeflow |
|---|---|---|---|
| How much does an MLOps platform cost per month? | AI Mode | #6 | #2 |
Features, pricing & fit
| Dimension | Galileo | Kubeflow |
|---|---|---|
| Deployment | SaaS, Virtual Private Cloud, On-Premises | Runs as a collection of microservices on any Kubernetes cluster, including on-premises, hybrid, and AWS, Azure, or GCP. |
| Compliance | SOC 2 Type II | — |
| Support | — | Weekly community calls, Mailing list, Slack workspace |
| Founded | — | 2017 |
| Headquarters | — | Sunnyvale, CA, United States |
| Employees | — | 51–200 |
| Funding | Series B · $68M raised | — |
| Best for | AI teams running GenAI applications and agents at enterprise scale | — |
Pros and cons
Themes from the AI answers that mention each brand
Galileo
Profile in progress.
Kubeflow
- free and open source
- strong choice for Kubernetes-native, cloud-native ML platforms
- portability and deep infrastructure control
- modular, open-source infrastructure
- operationally complex, especially for small teams
- requires Kubernetes expertise and significant infrastructure ownership
- Kubernetes operations add infrastructure costs
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Galileo vs Kubeflow”, https://slateindex.ai/compare/galileo-vs-kubeflow, data of Nov 2, 2026. Licence: CC BY 4.0.