kitio.aiMLflow vs Kubeflow
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. MLflow starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
At 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
- Kubeflow Pipelines
- Distributed training
- Hyperparameter tuning
- Hosted notebooks
- Model registry
- Spark Operator
| Feature | MLflow | Kubeflow |
|---|---|---|
| Best for | Open-source platform for ML experiments, models and GenAI tracing | Open-source Kubernetes stack for training and serving AI models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | Databricks | Kubeflow community (CNCF) |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Both offer: Model registry.
Pricing compared
MLflow starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
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
Kubeflow
- Free and open source
- Runs on any Kubernetes cluster
- Modular, use only the parts you need
- Requires Kubernetes knowledge to operate
- Setup and upgrades take real effort
- No official managed version from the project
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 Kubeflow if you want:
- Free and open source
- Runs on any Kubernetes cluster
- Modular, use only the parts you need
Watch out: requires kubernetes knowledge to operate.
MLflow vs Kubeflow FAQ
What is the difference between MLflow and Kubeflow?
MLflow: Open-source platform for ML experiments, models and GenAI tracing. Kubeflow: Open-source Kubernetes stack for training and serving AI models. Both are models & apis tools.
Is MLflow or Kubeflow cheaper?
MLflow starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
Do MLflow and Kubeflow have free plans?
MLflow: Yes, fully free. Kubeflow: Yes, fully free.
Who makes MLflow?
MLflow is made by Databricks, based in United States.
Who makes Kubeflow?
Kubeflow is made by Kubeflow community (CNCF).
Which should I choose, MLflow or Kubeflow?
Choose MLflow if you value free and widely adopted and covers classic ml and genai. Choose Kubeflow if you value free and open source and runs on any kubernetes cluster.