Gartner Research

Critical Capabilities for Data Science and Machine Learning Platforms

Published: 13 March 2021

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 20 of these platforms across 15 critical capabilities.

Included in Full Research

Overview

Key Findings
  • Business and data exploration are an integral part of many platforms, offering a common ground for the vital collaboration between (citizen) data scientists and domain experts.

  • Citizen data science is now supported by a majority of vendors, bringing the power of machine learning within reach of nonexperts.

  • Expert model development often requires cutting-edge (open-source) techniques, for which many vendor platforms offer first-class support.

  • Operationalization is more critical than ever as organizations seek to scale their data science and machine learning, demanding tangible business value from projects.

Recommendations

Data and analytics leaders tasked with incorporating data science and machine learning into their analytics strategies

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  • Alibaba Cloud
  • Altair
  • Alteryx
  • Amazon Web Services
  • Anaconda
  • Cloudera
  • Databricks
  • Dataiku
  • DataRobot
  • Domino
  • Google
  • H2O.ai
  • IBM
  • KNIME
  • MathWorks
  • Microsoft
  • RapidMiner
  • Samsung SDS
  • SAS
  • TIBCO Software
  • Data Access
  • Data Preparation
  • Data Exploration and Visualization
  • User Interface
  • Machine Learning
  • Other Advanced Analytics
  • Flexibility and Openness
  • Performance and Scalability
  • Delivery
  • Platform and Project Management
  • Model Management
  • Explainable AI (XAI)
  • Precanned Solutions
  • Collaboration
  • Coherence
  • Business and Data Exploration
  • Citizen Data Science
  • Expert Model Development
  • Operationalization

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Critical Capabilities: A deeper look into provider offerings

How does a Critical Capabilities report work?

As a companion to the Magic Quadrant™, a Critical Capabilities report scores competing products and services against a set of meaningful differentiators. It reveals which options are the best fit in various use cases to help you focus on the vendors best suited to your needs.

A Critical Capabilities report is more than just a diagram. You also get:

Sharper focus

Narrow down the product and service criteria most important to you.

Individualized use cases

Use interactive features to customize usage scenarios based on your organization’s unique needs.

Faster decision making

Use data to speed up provider selection and accelerate the procurement process.

A Gartner Critical Capabilities report is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster technology decisions to stay ahead of disruption and accelerate growth.

Pick the right provider with confidence

We use a Critical Capabilities report, the Magic Quadrant and more to ensure you select the best-fit provider to avoid the costly repercussions of a poor decision.

Align deal structures and optimize spend

We benchmark pricing against the market so you avoid unnecessary charges.

Reduce complexity and risk

We analyze contract terms and conditions to protect you against future price increases and unanticipated costs.

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