Gartner Research

Critical Capabilities for Data Science and Machine Learning Platforms

Published: 10 April 2019

ID: G00357130

Analyst(s): Peter Krensky , Erick Brethenoux , Carlie Idoine , Alexander Linden

Summary

The functions and features of data science and machine learning platforms are evolving quickly to keep pace with a highly innovative space. This research helps data and analytics leaders to evaluate 19 of these platforms across 15 critical capabilities.

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Alteryx
    • Anaconda
    • Databricks
    • Dataiku
    • DataRobot
    • Datawatch (Angoss)
    • Domino
    • Google
    • H2O.ai
    • IBM (SPSS)
    • IBM (Watson Studio)
    • KNIME
    • MathWorks
    • Microsoft
    • RapidMiner
    • SAP
    • SAS (Enterprise Miner)
    • SAS (VDMML)
    • TIBCO Software
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Data Access
    • Data Preparation
    • Data Exploration and Visualization
    • Automation and Augmentation
    • User Interface
    • Machine Learning
    • Other Advanced Analytics
    • Flexibility and Openness
    • Performance and Scalability
    • Delivery
    • Platform and Project Management
    • Model Management
    • Precanned Solutions
    • Collaboration
    • Coherence
  • Use Cases
    • Business Exploration
    • Advanced Prototyping
    • Production Refinement
    • Nontraditional Data Science
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion Criteria

  • Gate 1: Revenue and Number of Paying Customers
  • Gate 2: Reference Customer Counts
  • Gate 3: Product Capability Scoring
  • Critical Capabilities Rating

Appendix

  • Honorable Mentions

Gartner Recommended Reading

©2019 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.