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Verteego VS Managed MLflow

Compare Verteego VS Managed MLflow and see what are their differences

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Verteego logo Verteego

Verteego delivers customised apps to help businesses solve operational problems with reliable predictions.

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
  • Verteego Landing page
    Landing page //
    2023-07-20
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Category Popularity

0-100% (relative to Verteego and Managed MLflow)

Verteego

Managed MLflow

Governance, Risk And Compliance
100 100%
Governance, Risk And Compliance
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Workplace Safety
100 100%
Workplace Safety
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

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What are some alternatives?

When comparing Verteego and Managed MLflow, you can also consider the following products

EtQ Reliance - QMS integrates data to reduce risk and ensure compliance.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Gensuite - Gensuite provides cloud solutions for Environment, Health & Safety (EH&S) and Sustainability.

Weights & Biases - Developer tools for deep learning research

Donesafe - Modular Compliance Management Software

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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