HopsworksThe AI Lakehouse for Real-Time ML
vs
Ray ServeScalable model serving library for building online inference APIs
Comparison · MLOps Platforms · weekly run Nov 2
Hopsworks vs Ray Serve
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Hopsworks is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.3 versus 0 for Ray Serve.
Choose Hopsworks if…
- You want the brand AI engines rank higher (0.3 vs 0)
- You need a self-hosted or on-premises option
- You need ISO 27001 or GDPR or HIPAA coverage
Choose Ray Serve if…
- You need ISO/IEC 27001 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Hopsworks | Ray Serve |
|---|---|---|
| Visibility score | 0.3% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #52 | #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
Hopsworks 0pp · Ray Serve 0pp over 0 weekly runs.
Engine by engine
Hopsworks leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
HopsworksRay Serve
Head to head in AI answers
0 engine answers name both brands
0Hopsworks ranked higher
0Ray Serve ranked higher
Features, pricing & fit
| Dimension | Hopsworks | Ray Serve |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | Yes | — |
| Deployment | Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid | Self-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay |
| Compliance | ISO 27001, SOC 2 Type II, GDPR, HIPAA | SOC 2 Type II, ISO/IEC 27001 |
| Support | Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan | Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray |
| Founded | 2017 | — |
| Headquarters | Stockholm, Sweden | San Francisco, California |
| Employees | 11–50 | — |
| Funding | Series B | Series C |
| Best for | Teams building production ML systems that need real-time feature serving and reuse of features across models | Python teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling |
Plans side by side
Ray Serve
Pricing not available.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Hopsworks vs Ray Serve”, https://slateindex.ai/compare/hopsworks-vs-ray-serve, data of Nov 2, 2026. Licence: CC BY 4.0.