Gartner Research

Solution Criteria for Data Science and Machine Learning Platforms

Published: 16 September 2019

Summary

The data science and machine learning vendor space has transformed significantly catering to expert and citizen data scientists to build, train, deploy and manage analytical models. This document provides data and analytics technical professionals with 174 criteria to evaluate DSML platforms.

Included in Full Research

  • How the Evaluation Is Structured
  • Baseline Criteria
  • Data Access and Management
    • Required
    • Preferred
    • Optional
  • Data Exploration and Visualization
    • Required
    • Preferred
    • Optional
  • Data Transformation
    • Required
    • Preferred
    • Optional
  • Machine Learning
    • Required
    • Preferred
    • Optional
  • Model Export and Import
    • Required
    • Preferred
    • Optional
  • Programming Languages and OpenStack Support
    • Required
    • Preferred
    • Optional
  • Augmentation
    • Required
    • Preferred
    • Optional
  • Other Advanced Analytics Support
    • Required
    • Preferred
    • Optional
  • Model Management
    • Required
    • Preferred
    • Optional
  • User Interface
    • Required
    • Preferred
    • Optional
  • Performance and Scalability
    • Required
    • Preferred
    • Optional
  • Platform and Project Management
    • Required
    • Preferred
    • Optional
  • Prebuilt Solutions
    • Optional
  • Collaboration
    • Required
    • Preferred

Analysts:

Soyeb Barot

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