Iterative vs MLflow
IterativeMLOps Platforms
MLflowMachine Learning Platforms
Free / Open SourcePublished price
Iterative MLOps Platforms AI Data at Scale - Curate, Enrich, and Version Datasets | MLflow Machine Learning Platforms Deliver High-Quality AI, Fast | |
|---|---|---|
| Overview | ||
| Category | MLOps Platforms | Machine Learning Platforms |
| What it is | Open-source MLOps tools including DVC and CML for Git-based ML experiment tracking and CI/CD. | Open-source platform for managing the ML lifecycle including experimentation, reproducibility, and model deployment. |
| Pricing | ||
| Published price | Iterative does not publish a reliable current numeric rate card. Pricing depends on deployment, usage, contract scope, or negotiated services; contact the vendor for a quote. | Free / Open Source Free and open source (Apache-2.0). The MLflow project itself has no paid tier; users self-host at no license cost. Managed MLflow is available as a paid add-on inside platforms li… |
| Pricing model | Tiered plans | Free |
| Free options | Free plan · Free trial | Free plan · No free trial |
| Deal on Cubbie | None right now | None right now |
| Company | ||
| Founded | 2018 | 2018 |
| Team size | 51-200 employees | 51-200 employees |
| Headquarters | San Francisco, CA | San Francisco, CA |