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Overall experience with Dataiku
“Dataiku Enables Fast ML Development But Lacks Flexible Layouts And Cloud Integration”
“Intuitive Data Workflow Enhances Analytics, Virtual Training Complexity Raises Concerns”
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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.
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Dataiku Reviews and Ratings
- Director of Data and Analytics50M-1B USDRetailReview Source
Dataiku Enables Fast ML Development But Lacks Flexible Layouts And Cloud Integration
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. - DATA SCIENTIST10B+ USDHealthcare and BiotechReview Source
Dataiku AI v14.2 Enhances Agentic AI Features for Healthcare Solutions
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. - Data Analyst10B+ USDEnergy and UtilitiesReview Source
Examining User Impressions of Dataiku’s Agentic Features and Limitations
The Dataiku product is amazing especially the Agentic capabilities it offers to build Agents easily in lesser time with an intuitive UI compared to directly using cloud services. We can also easily build machine learning models with multiple tool options within Dataiku to do data cleaning, feature engineering, model selection and evaluation. However, there is some room for improvement, since it offers limited GenAI capabilities as explained under the dislike question which further restricts the capability of the Agents we build on top of it. - Manager of IT Services1B-10B USDManufacturingReview Source
Collaborative Data Science Workflow Enhanced With Automated Retraining And AutoML Tools
Our organization adopted Dataiku as a Data Science & Machine Learning Platform to manage the entire workflow -- from data engineneering to model development, deployment, and ongoing operations-- within a single environment. One of the most impactful benefits has been enabling different roles(data engineers, analysts, and business teams) to collaborate in the same workspace. This has allowed ML projects to move seamlessly from idea generation to full production to full production deployment, providing a consistent an unified wolkflow across the entire lifecycle. - Staff Specialist1B-10B USDManufacturingReview Source
Dataiku: A Game Changer for Data Engineering and Data Science
Dataiku has been great to work with so far. It has been 3 years of collaborating with fast support, direct communication, a lot of flexibility for support hours and a huge range of topics we addressed. Therefore I really enjoyed this "chill" base to "get stuff done"



