Hopsworks vs MLflow
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
MLflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 50.9 versus 0.3 for Hopsworks, and ranks ahead in 100% 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 or HIPAA coverage
Choose MLflow if…
- You want the brand AI engines rank higher (50.9 vs 0.3)
- AI answers describe it more positively (44% vs 0% positive)
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Hopsworks | MLflow |
|---|---|---|
| Visibility score | 0.3% | 50.9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #52 | #1 |
| Share of voice | 0.1% | 9.7% |
| Mentions this run | 1 | 65 |
| Positive in AI answers | 0% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Hopsworks 0pp · MLflow 0pp over 0 weekly runs.
Engine by engine
MLflow leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Hopsworks | MLflow |
|---|---|---|---|
| What should an MLOps platform integrate with? | ChatGPT | #10 | #5 |
Features, pricing & fit
| Dimension | Hopsworks | MLflow |
|---|---|---|
| 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-hosted from the open source package, started with one command or Docker. |
| Integrations | — | 100+ |
| 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 | Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub |
| Founded | 2017 | 2018 |
| Headquarters | Stockholm, Sweden | San Francisco, CA, United States |
| Employees | 11–50 | — |
| Funding | Series B | — |
| Best for | Teams building production ML systems that need real-time feature serving and reuse of features across models | Teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in. |
Plans side by side
MLflow
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Hopsworks
Profile in progress.
MLflow
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
- portability and avoiding cloud or vendor lock-in
- strong free starting point for small teams
- requires DevOps capability and significant infrastructure and integration work
- lower rating of about 4.3/5
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Hopsworks vs MLflow”, https://slateindex.ai/compare/hopsworks-vs-mlflow, data of Nov 2, 2026. Licence: CC BY 4.0.