Industry Analyst and Customer Recognition for Dataiku

Dataiku Recognition From Gartner®️

2024 Magic Quadrant™ for Data Science & ML Platforms

Dataiku has been named a Leader for the third time in the 2024 Magic Quadrant for Data Science and Machine Learning (DSML) Platforms. In addition to being named a Leader, of all vendors, Dataiku is placed the furthest on the “Completeness of Vision” axis.

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2022 Data Science & Machine Learning Market Guides 

In place of the Gartner Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms, in 2022, Gartner released two separate Market Guide reports on the ever-evolving DSML platform market:

• The 2022 Gartner Market Guide for Multipersona DSML Platforms
• The 2022 Gartner Market Guide for DSML Engineering Platforms

Data Science & Machine Learning Bake-Offs

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Dataiku Recognition From IDC

Dataiku Named a LEADER in the IDC Marketscape — AI Governance Platforms 2023

Choose Dataiku if you need an AI governance platform that prioritizes democratization, trust, and scalability. Dataiku distinguishes itself through powerful integration capabilities, robust governance features, and proactive customer service. It is suitable for businesses of all sizes and has a user-friendly interface that enables users with varying levels of technical expertise to efficiently harness the potential of AI.

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IDC Vendor Profile: Dataiku

In terms of its other aim — to be the primary tool for orchestrating, managing, and governing data science activity throughout the organization — Dataiku has amassed significant capabilities. Current customers reported to IDC that Dataiku had become their primary tool for coordinating data science work.

Dataiku Recognition From Forrester

The Total Economic Impact™️ of Dataiku

Customer interviews and financial analysis found that a composite organization experienced benefits of $23.5 million over three years and an ROI of 413% with Dataiku. Plus, 80% time savings on manual processes, reduced costs, and improved decision making on key business activities.

In addition to these quantified benefits, Dataiku is also helping customers develop Generative AI use cases. The latest Forrester research suggests Generative AI-powered applications are not built on a single large language model (LLM), but rather require different models to fulfill different tasks. Interviewees in the TEI study noted their organizations look forward to leveraging more and more of the Dataiku platform and its LLM Mesh functionality to drive efficiencies and help innovate.

The LLM Mesh will allow us to innovate in an agnostic way, which is of the essence when it comes to data security and compliance.

— Analytics & Data Science Product Owner, Pharmaceutical Company

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Other Industry Recognition

Dataiku Is a Leader and an Outperformer

2022 GigaOm Radar Report for Machine Learning Operations (MLOps)

2023 GigaOm Radar Report for Data Science

2023 Constellation Reports

Constellation ShortList™ Self-Service Data Science & Machine Learning

Constellation ShortList™ MLOps

Dataiku was recognised as a one of the 6 top data science and machine learning companies for early adopters and one of the top 13 MLOps solutions to know.

Constellation evaluated over a dozen self-service data science and machine learning solutions in the market and found that Dataiku is one of the strongest products in terms of helping analysts, data-savvy business users, and data scientists perform advanced analytics analyses, including predictive analysis and machine learning. Constellation also found Dataiku to be a market leader in MLOps when looking at over 20 solutions in that market category.

Software Reviews

Dataiku was named as a Leader in the Machine Learning Software Data Quadrant.

Dataiku was also top rated in 4 capabilities (availability and quality of training, quality of features, usability and intuitiveness, and vendor support) and 3 features (data ingestion, data pre-processing, and feature engineering).

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.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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 Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.

Source:  “IDC MarketScape: Worldwide AI Governance Platforms 2023 Vendor Assessment”, By: Ritu Jyoti and Raghunandhan Kuppuswamy, November 2023, IDC # US50056923

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendorproduct, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the icons. Copyright IDC, 2023

IDC, Vendor Profile: Dataiku, Jack Vernon (April 2023, EUR150522623)

Constellation Research, Constellation ShortList™ Self-Service Data Science and Machine Learning, Doug Henschen (23 August 2023)

Constellation Research, Constellation ShortList™ MLOps, Andy Thurai (15 February 2023)

Arion Research LLC, Dataiku Everyday AI, Michael Fauscette (29 September 2023)

Nucleus Research, The user impact of Dataiku’s LLM Mesh, Samuel Hamway (6 October 2023, Research X176)

Nucleus Research, Hot Companies to Watch in 2024, Campbell et al. (5 December 2023)

Deep Analysis, Navigating Data Chaos with Dataiku, Alan Pelz-Sharpe (27 September 2023)

Omdia, Dataiku meshes up traditional and generative AI, Bradley Shimmin (20 October 2023)