kitio.aiMLflow vs Polyaxon
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. MLflow is completely free, while Polyaxon is freemium.
Open-source control plane for ML training, serving and agents on Kubernetes
Freemium · $555/moAt a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Experiment tracking
- Model registry
- GenAI tracing
- LLM evaluation
- Framework autologging
- Training and fine-tuning jobs
- Hyperparameter sweeps and DAGs
- Model serving and notebooks
- Experiment tracking and registry
- Agent sandboxes
- Access policies and audit logs
| Feature | MLflow | Polyaxon |
|---|---|---|
| Best for | Open-source platform for ML experiments, models and GenAI tracing | Open-source control plane for ML training, serving and agents on Kubernetes |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Freemium |
| Starting price | Free | $555/mo |
| Free plan | Yes, fully free | Yes |
| Made by | Databricks | Polyaxon |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
MLflow is completely free, while Polyaxon is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
4 plans
Open Source
Free
- Self-hosted
- Core tracking and scheduling
Platform
$555/mo
- 3 developer seats
- 1 compute cluster
- 50 concurrent runs
- Collaboration features
Teams
$1500/mo
- 6 developer seats
- 2 compute clusters
- Teams management
- Priority support
Enterprise
Custom
- Custom seats
- Custom policies and deployment
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
MLflow
- Free and widely adopted
- Covers classic ML and GenAI
- Managed options on many clouds
- Self-hosting needs setup
- UI less polished than SaaS tools
- GenAI features still maturing
Polyaxon
- Self-hosted, data stays on your infra
- Covers training, serving and tracking
- Free for academics
- Paid plans start at a high price
- Requires Kubernetes expertise
- Extra seats and clusters cost more
Which one should you choose?
Choose MLflow if you want:
- Free and widely adopted
- Covers classic ML and GenAI
- Managed options on many clouds
Watch out: self-hosting needs setup.
Choose Polyaxon if you want:
- Self-hosted, data stays on your infra
- Covers training, serving and tracking
- Free for academics
Watch out: paid plans start at a high price.
MLflow vs Polyaxon FAQ
What is the difference between MLflow and Polyaxon?
MLflow: Open-source platform for ML experiments, models and GenAI tracing. Polyaxon: Open-source control plane for ML training, serving and agents on Kubernetes. Both are models & apis tools.
Is MLflow or Polyaxon cheaper?
MLflow is completely free, while Polyaxon is freemium.
Do MLflow and Polyaxon have free plans?
MLflow: Yes, fully free. Polyaxon: Yes.
Who makes MLflow?
MLflow is made by Databricks, based in United States.
Who makes Polyaxon?
Polyaxon is made by Polyaxon.
Which should I choose, MLflow or Polyaxon?
Choose MLflow if you value free and widely adopted and covers classic ml and genai. Choose Polyaxon if you value self-hosted, data stays on your infra and covers training, serving and tracking.