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SAS Model Manager VS Datatron

Compare SAS Model Manager VS Datatron and see what are their differences

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SAS Model Manager logo SAS Model Manager

SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • SAS Model Manager Landing page
    Landing page //
    2023-10-05
  • Datatron Landing page
    Landing page //
    2023-02-11

SAS Model Manager videos

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Datatron videos

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Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to SAS Model Manager and Datatron)

SAS Model Manager

Datatron

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
69 69%
Data Dashboard
31% 31
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100

User comments

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What are some alternatives?

When comparing SAS Model Manager and Datatron, you can also consider the following products

MLOps - MLOps is a software platform that enables companies to manage AI production.

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.

Xyonix - Xyonix is an AI Consulting and Data Science Solution that brings AI, Machine Learning, and Deep Learning to businesses by providing Software Engineering and Advisory services.

MCenter - Machine Learning Operationalization

Digital.ai - Digital.ai is an intelligent value stream management software platform for digital enterprises and application delivery teams.

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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