KNIMEAnalytics made intuitive, AI made reliable
vs
Ray ServeScalable model serving library for building online inference APIs
Comparison · MLOps Platforms · weekly run Nov 2
KNIME vs Ray Serve
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
KNIME is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.4 versus 0 for Ray Serve.
Choose KNIME if…
- You want the brand AI engines rank higher (0.4 vs 0)
- You need ISO 27001 coverage
Choose Ray Serve if…
- You need SOC 2 Type II or ISO/IEC 27001 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | KNIME | Ray Serve |
|---|---|---|
| Visibility score | 0.4% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #49 | #61 |
| Share of voice | 0.1% | 0% |
| Mentions this run | 1 | 0 |
| Positive in AI answers | 0% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
KNIME 0pp · Ray Serve 0pp over 0 weekly runs.
Engine by engine
KNIME leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
KNIMERay Serve
Head to head in AI answers
0 engine answers name both brands
0KNIME ranked higher
0Ray Serve ranked higher
Features, pricing & fit
| Dimension | KNIME | Ray Serve |
|---|---|---|
| Deployment | Installed on the customer's own infrastructure, local, cloud or hybrid, with a SaaS option for small teams | Self-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay |
| Integrations | 300+ | — |
| Compliance | ISO 27001 | SOC 2 Type II, ISO/IEC 27001 |
| Support | Customer care team, reached through the contact form | Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray |
| Founded | 2008 | — |
| Headquarters | Zurich, Switzerland | San Francisco, California |
| Employees | 201–500 | — |
| Funding | Growth round, led by Invus · $50M raised | Series C |
| Best for | Business experts, data scientists, and MLOps and IT teams in enterprises that need explainable, governed analytics and AI | Python teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling |
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “KNIME vs Ray Serve”, https://slateindex.ai/compare/knime-vs-ray-serve, data of Nov 2, 2026. Licence: CC BY 4.0.