Gartner Research

How to Choose the Right Data Science and Machine Learning Platform

Summary

The data science and machine learning platform market is crowded and complicated. To choose correctly, data and analytics leaders must assess their organization’s analytics maturity, define business-driven requirements and segment vendors’ platforms into clusters for evaluation.

Published: 12 March 2019

ID: G00382503

Analyst(s): Carlie Idoine Jim Hare

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Assess Your Current Data Science and Machine Learning Maturity
  • Assess the End-to-End Analytic Pipeline and Life Cycle
  • Segment Platforms Into Appropriate Clusters to Assess Similarities and Differences
  • Evaluate Vendor and Platform Capabilities and Market Trends
  • Invest in Hiring and Skills Building for the Data Science Team

Gartner Recommended Reading

Already a Gartner client?

Become a Client

This research is reserved for paying clients. Speak with a Gartner specialist to learn how you can access this research as a client, plus insights, advice and tools to help you achieve your goals.

Contact Information

All fields are required.

By clicking the "Submit" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

©2021 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.