Hopsworks vs Microsoft Azure Machine Learning
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Microsoft Azure Machine Learning is the stronger AI pick in MLOps Platforms: it has a visibility score of 28.4 versus 0.3 for Hopsworks, and ranks ahead in 0% of the answers that name both.
Choose Hopsworks if…
- You need a self-hosted or on-premises option
- You need ISO 27001 or SOC 2 Type II or GDPR coverage
Choose Microsoft Azure Machine Learning if…
- You want the brand AI engines rank higher (28.4 vs 0.3)
- AI answers describe it more positively (37% vs 0% positive)
- You need FedRAMP High coverage
- You prefer a larger, established vendor (5,000+ employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Hopsworks | Microsoft Azure Machine Learning |
|---|---|---|
| Visibility score | 0.3% | 28.4% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #52 | #7 |
| Share of voice | 0.1% | 6.5% |
| Mentions this run | 1 | 44 |
| Positive in AI answers | 0% | 37% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Hopsworks 0pp · Microsoft Azure Machine Learning 0pp over 0 weekly runs.
Engine by engine
Microsoft Azure Machine Learning leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Hopsworks | Microsoft Azure Machine Learning |
|---|---|---|---|
| What should an MLOps platform integrate with? | ChatGPT | #10 | #12 |
Features, pricing & fit
| Dimension | Hopsworks | Microsoft Azure Machine Learning |
|---|---|---|
| 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 | Cloud on Azure, with models also trainable and deployable on premises for data sovereignty requirements |
| Compliance | ISO 27001, SOC 2 Type II, GDPR, HIPAA | FedRAMP High, HIPAA |
| Support | Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan | — |
| Founded | 2017 | — |
| Headquarters | Stockholm, Sweden | Redmond, Washington |
| Employees | 11–50 | 5,000+ |
| Funding | Series B | — |
| Best for | Teams building production ML systems that need real-time feature serving and reuse of features across models | — |
Plans side by side
Microsoft Azure Machine Learning
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Hopsworks
Profile in progress.
Microsoft Azure Machine Learning
- Strong enterprise integration with Microsoft Azure and the broader Microsoft ecosystem
- End-to-end managed ML lifecycle management
- Strong pipeline orchestration, security, and automated model tracking
- Cost-effective managed ecosystem
- Model monitoring in production
- Less developer-centric for teams with highly customized Python, Kubernetes, or CI/CD workflows
- Usage-based costs depend on compute, storage, and API usage
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Hopsworks vs Microsoft Azure Machine Learning”, https://slateindex.ai/compare/hopsworks-vs-microsoft-azure-machine-learning, data of Nov 2, 2026. Licence: CC BY 4.0.