The 2022 Market Guide for Data Science & ML Engineering Platforms

Dataiku Recognized as a Representative Vendor

In this just-released Gartner report, gain insights on key functionalities to prioritize when looking for a data science and ML platform that focuses on code-first development, operationalization, and performance and scalability — all so you can more effectively build and deploy complex ML and AI systems.

[JUST RELEASED] Get the 2022 Gartner Market Guide

Data Scientists, Engineers, Architects, and Other, Code-First Profiles:

Build, Engineer, and Orchestrate Advanced ML and AI Projects

According to Gartner, "Engineering platforms are more focused on serving the needs of expert data scientists and delivery teams responsible for building and maintaining ML and AI solutions. They provide an end-to-end platform with developer tools for managing code, data, experiments, models, model outputs and associated pipelines, often integrating with DevOps tools and open source frameworks.”



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Dataiku for Code-Based, Technical Experts

A 2x Leader (2020 and 2021) in the Magic Quadrant for Data Science and ML Platforms

Just because Dataiku has a simple-to-use graphical user interface doesn’t mean we’ve skimped out on robust features for more technical profiles, such as storage and compute agnostic, any IDE (Git-enabled), powerful extensions via Dataiku plugins, automation and monitoring capabilities with APIs, and much more.

By the way, we were also cited as a Representative Vendor in the Gartner Market Guide for Multipersona Data Science & ML Platforms which focuses on collaboration between technical experts and citizen data scientists, lines of business, and other non-technical domain experts.

You can check out that complementary report (which highlights the importance of supporting a diversity of user types) below.

Read the Report

Gartner, Inc., Market Guide for DSML Engineering Platforms, Afraz Jaffri, Erick Brethenoux, et al. May 2022. does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. © [2022] Gartner, Inc. and/or its affiliates. All rights reserved. This graphic was published by Gartner, inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.