Dataiku Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines AI platforms for data science and machine learning (DSML) as platforms that support end-to-end AI model and agent development and life cycle management using diverse data science and AI techniques. These platforms enable data preparation, model building, deployment and governance, and are delivered as fully managed cloud services or on-premises infrastructure for AI experts and business users.

AI platforms for DSML primarily target AI experts, including data scientists and AI engineers, providing a comprehensive suite of data science and AI techniques for augmented and automated decision making. These platforms support building models using data-intensive methods such as machine learning, as well as techniques such as simulation and optimization. They handle all types of data — tabular, image, video and text — for multimodal applications, such as computer vision, natural language processing (NLP) or composite AI, that combines optimization with machine learning.

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AI Platforms for Data Science and Machine Learning

Dataiku

DATA SCIENTIST

Our overall experience with the Dataiku AI Platform has been extremely satisfactory. With Agentic AI becoming promising to solve real business problems in the healthcare industry and drug development, we are also growing our Enterprise Dataiku users across various functions. We are on Dataiku AI v14.2, which is a major release with a great number of Agentic AI and multi-agent development capabilities. Such offerings not only enrich our toolbox but also accelerate internal AI adoption and upskilling capabilities.

30B + USD

3B - 10B USD

10B - 30B USD

1B - 3B USD

500M - 1B USD

<50M USD

50M - 250M USD

250M - 500M USD

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 50,000 + Employees

IA ENGINEERING MANAGER

Dataiku is a powerfull low code product but came with complex integration for company with high cybersecurity and restriction compliance.

Director of Data and Analytics

Dataiku is an enterprise AI development tool designed to expedite data preparation and machine learning model development. It offers low-code/no-code, visual components for model creation, while simultaneously providing advanced coding environments (Python, R, SQL). This makes it the ultimate tool for data scientists, enabling them to use a single platform for all aspects of data science projects, from model development to production deployment, significantly speeding up the process.
Dataiku also supports mesh LLM, facilitating the integration of data science projects with LLM and GenAI development.
Recently, an agentic framework has been added to the tool. It also has GenAI-enabled capabilities to create workflows and ETL pipelines, which will speed up the development significantly. 
As an enterprise-ready platform, Dataiku encompasses all essential aspects of security, scalability, development to product management, and AI governance.

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Dataiku is a single enterprise platform that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimentation to coordinated, trusted execution at scale.
Built for AI Success: Dataiku brings business experts and AI specialists into the same environment, embedding business context into analytics, models, and AI agents. Business teams can self-serve and innovate, while AI experts build, deploy, and optimize quickly, closing the gap between pilots and production.
Orchestration That Scales: Dataiku connects data, AI services, and enterprise apps across analytics, machine learning, and AI agents. Integrated workflows deliver value across any cloud or infrastructure without vendor lock-in or fragmentation.
Governance You Can Trust: Dataiku embeds governance across the AI lifecycle, enabling teams to track performance, cost, and risk to keep systems explainable, compliant, and auditable.



Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.

More than 500 companies worldwide use Dataiku to systemize their use of data, analytics, and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between. 

Reviews

Ratings Overview

Overall experience with

Favorable Review

Dataiku Enables Fast ML Development But Lacks Flexible Layouts And Cloud Integration

Critical Review

Dataiku’s Strength in Low Code AI Offset by Private Cloud Integration Issues

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