Dataiku is named by Gartner in both the Market Guide for Multipersona Data Science and Machine Learning Platforms and the Market Guide for DSML Engineering Platforms.
Per Gartner, “The AI & data science platform market is due to grow to over $10 billion by 2025 at a 21.6% compounded annual growth rate. This growth mirrors the investments made by organizations in DSML initiatives, which are largely turning from strategy to execution.” Analytics leaders and practitioners alike can use this research for insights on the two types of platforms, functionalities that each prioritize, key trends in each market, and more.
We take pride in creating Dataiku as the only data science, machine learning, and AI platform on the market that provides an optimized experience for everyone — from business to analyst to data scientists. That means full coding environments and flexibility for coders as well as visual tools and guidance for data novices. And it’s also the only platform that covers every step of the data pipeline (from connecting to data all the way through operationalization and monitoring) all in one place with one, single UI for a unified Enterprise AI strategy.
Dataiku was named a Customers’ Choice in the 2021 Gartner Peer Insights ‘Voice of the Customer’: Data Science and Machine Learning Platforms. It doesn’t stop there — of all vendors included, Dataiku received the highest Overall Rating (4.8/5, 247 reviews as of Feb. 9, 2022), which we believe measures how satisfied customers are with our product (all while having the most overall reviews).
Dataiku was also the only Customers’ Choice vendor for the following segments: Global Enterprise ($10B+) company size, North America region, and Europe, Middle East, and Africa region.
The Customers’ Choice distinction recognizes vendors that meet or exceed both the market average Overall Rating and the market average User Interest and Adoption per reviews by customers on Gartner Peer Insights.
“Dataiku is probably the only true end-to-end platform in the market and an incredible bridge between multiple choices of computation and storage for data science. Path to production becomes support straightforward with the API deployer, and the bundling from Dataiku towards automate is a very straightforward way to deploy data science use-cases across an enterprise.”
– VP of Data Science, Services Industry
Data engineers and data scientists save 75% of the time they previously spent on projects by using Dataiku. Dataiku also reduces 90% of the manual, repeated tasks involved in regular reporting.
“By having these reusable data pipelines and data products, [we have] streamlined our operational side of development. We’re talking about savings in the range of $4 million plus.”
—Team Lead, Analytics Innovation, pharmaceutical company
Develop, deploy, monitor, and maintain machine learning models, all in a single platform. For both batch and real time scoring, the deployer is the central place where operators can manage versions of Dataiku projects and API deployments across dev, test, and prod environments.
Automatic drift detection and retraining, experiment tracking and model comparisons, and a model evaluation store help teams make informed decisions about the best models to deploy in production.
Gartner, Inc., Market Guide for DSML Engineering Platforms, Afraz Jaffri, Erick Brethenoux, et al. May 2022. Market Guide for Multipersona Data Science and Machine Learning Platforms, Pieter den Hamer, Carlie Idoine, et al. May 2022. Gartner 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 Peer Insights ‘Voice of the Customer’: Data Science and Machine Learning Platforms, Peer Contributors, 20 August 2021. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product, or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Gartner, GARTNER PEER INSIGHTS ™, and GARTNER PEER INSIGHTS CUSTOMERS’ CHOICE badge are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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“By having these reusable data pipelines and data products, [we have] streamlined our operational side of development. We’re talking about savings in the range of $4 million plus.”