HopsworksThe AI Lakehouse for Real-Time ML
vs
NannyMLEstimate your model performance in production without ground truth.
Comparison · MLOps Platforms · weekly run Nov 2
Hopsworks vs NannyML
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 NannyML.
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 SOC 2 Type II or GDPR or HIPAA coverage
- Usage-based pricing suits your budget better than flat tiers
Choose NannyML if…
- Flat tiers pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Hopsworks | NannyML |
|---|---|---|
| Visibility score | 0.3% | 0% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #52 | #60 |
| 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 · NannyML 0pp over 0 weekly runs.
Engine by engine
Hopsworks leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
HopsworksNannyML
Head to head in AI answers
0 engine answers name both brands
0Hopsworks ranked higher
0NannyML ranked higher
Features, pricing & fit
| Dimension | Hopsworks | NannyML |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Contact sales | Free; paid from $399 / mo |
| Free plan | Yes | Yes |
| Deployment | Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid | SaaS, or deployed in the customer's own cloud via NannyML Cloud; self-managed via the open-source library |
| Compliance | ISO 27001, SOC 2 Type II, GDPR, HIPAA | — |
| Support | Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan | Email, Private Slack, 24/7 support, Dedicated data scientist |
| Founded | 2017 | — |
| Headquarters | Stockholm, Sweden | Leuven, Belgium |
| Employees | 11–50 | 11–50 |
| Funding | Series B | Pre-seed · $2M raised |
| Best for | Teams building production ML systems that need real-time feature serving and reuse of features across models | Data science teams that need to monitor machine learning models after deployment |
Plans side by side
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Hopsworks vs NannyML”, https://slateindex.ai/compare/hopsworks-vs-nannyml, data of Nov 2, 2026. Licence: CC BY 4.0.