Minitab Model Ops vs. MLflow
Minitab Model Ops vs. MLflow
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Minitab Model Ops | N/A | Minitab Model Ops is an MLOps platform designed to bridge the gap between model creation and model production. It is designed to help business analysts and engineers successfully implement their own Machine Learning and Predictive models. Users can deploy models with a single click for immediate insights. And import models and store them in a model repository. Every Minitab Model Ops model can publish a REST API endpoint, to integrate it into modern enterprise applications. | N/A | |
 MLflow | N/A | An open source machine learning platform for managing the complete ML lifecycle, developed at Databricks, that includes four components supporting experimentation, reproducibility, deployment, and a central model registry. | $0 per month |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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| Minitab Model Ops | MLflow | |
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| Small Businesses |  Google Cloud AI Score 8.2 out of 10 | Google Cloud AI Score 8.2 out of 10 |
| Medium-sized Companies | Google Cloud AI Score 8.2 out of 10 | Google Cloud AI Score 8.2 out of 10 |
| Enterprises |  Dataiku Score 8.2 out of 10 | Dataiku Score 8.2 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Minitab Model Ops | MLflow | |
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