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The 2022 Market Guide for Multipersona Data Science & ML Platforms

Dataiku Recognized as a Representative Vendor

In this just-released report, Gartner says, “Multipersona DSML platforms offer a shorter time to value by empowering more people across the organization through ease of use and the augmentation or automation of activities as much as possible.” Get the insights you need to more effectively scale AI by bringing more business profiles and non-technical experts into the fold.

[JUST RELEASED] Get the 2022 Gartner Market Guide

Access, Automation, and Acceleration

Empower the Organization With a Multidisciplinary Approach

According to Gartner, “Multipersona DSML platforms have dual-mode characteristics: First, they offer a low-code/no-code user experience to personas that have little or no background in digital technology or expert data science, but typically have significant subject matter expertise or business domain knowledge. Second, these platforms provide support to more technical personas (typically expert data scientists or data engineers)."
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Dataiku: For Technical & Non-Technical Experts Alike

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

The pool of people building and benefiting from AI is ever-expanding and, at Dataiku, it’s always been our mission to connect data with doers (whether they prefer to leverage Dataiku’s visual point-and-click interface or work entirely in code).

By the way, we were also cited as a Representative Vendor in the Gartner Market Guide for DSML Engineering Platforms which focuses on complex, business-critical ML systems. 

You can check out that complementary report focused on model development and operationalization (for technical experts such as data scientists, ML engineers, and cloud architects) below.
Read the Report

Gartner, Inc., Market Guide for Multipersona Engineering Platforms, Pieter den Hamer, Carlie Idoine, 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.

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