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Logo of Dataiku

Dataiku

byDataiku
in
4.7
2025
Market Presence: Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning), Data Preparation Tools

Overview

Review Summary
AI Generated Using Real User Reviews

Users appreciate Dataiku for its user-friendly interface, strong machine learning capabilities, and versatile featur ...

Product Information on Dataiku

Updated 14th January 2026

What is Dataiku?

Dataiku is a single, end-to-end platform for building and managing analytics, models, and agents across your organization. It provides no-, low-, and full-code interfaces so data scientists, analysts, and business users can all build AI using their existing skills. Dataiku works with any cloud provider, data platform, and GenAI service, ensuring infrastructure freedom and avoiding vendor lock-in. Built-in governance and monitoring give you the visibility and control to confidently deploy AI at scale.

Dataiku Pricing

Dataiku Product Images

Visual Data Pipelines
Visual Data Pipelines
Generative AI: Prompt Studios
Generative AI: Prompt Studios
Webapps & Dashboards
Webapps & Dashboards

Overall experience with Dataiku

Director of Data and Analytics
500M - 1B USD, Retail
FAVORABLE

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

5.0
Jan 28, 2026
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.
Manager, Project Management
10B - 30B USD, Manufacturing
CRITICAL

“Intuitive Data Workflow Enhances Analytics, Virtual Training Complexity Raises Concerns”

3.0
Dec 22, 2025
This is a good product that can provide advanced analytics capabilities to individuals within an organization.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

About Company

Company Description

Updated 23rd January 2026

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.

Company Details

Updated 23rd January 2026
Company type
Private
Year Founded
2013
Head office location
New York, United States
Number of employees
1001 - 5000
Website
http://dataiku.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Dataiku Reviews and Ratings

4.7

(929 Ratings)

Rating Distribution

5 Star
75%
4 Star
23%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.6

Planning & Transition

5.0

Delivery & Execution

4.5

Integration & Deployment

4.6

Service & Support

4.8

Product Capabilities

4.7

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  • Director of Data and Analytics
    50M-1B USD
    Retail
    Review Source

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

    5.0
    Jan 28, 2026
    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 SCIENTIST
    10B+ USD
    Healthcare and Biotech
    Review Source

    Dataiku AI v14.2 Enhances Agentic AI Features for Healthcare Solutions

    5.0
    Jan 29, 2026
    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 Analyst
    10B+ USD
    Energy and Utilities
    Review Source

    Examining User Impressions of Dataiku’s Agentic Features and Limitations

    4.0
    Jan 15, 2026
    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.
  • Data Analyst
    10B+ USD
    Services (non-Government)
    Review Source

    Dataiku is a powerful, reliable, and low-code tool for data analysts and scientists.

    5.0
    Dec 5, 2025
    Getting to grips with the product is made easy by a detailed knowledge base where it's simple to find answers to problems. Adding examples would be a plus. The community is also a valuable resource, but the English language barrier limits my research. The academy is a learning environment with certification that allows for rapid progress. The availability of some modules in French is a welcome feature, though this needs to be expanded. This tool has allowed me to respond more quickly to client requests regarding data analysis, forecasting, and decision-making. The visualization features have improved but could benefit from even greater flexibility.
    Automated Translation from French
  • Data and Analytics Manager
    10B+ USD
    Consumer Goods
    Review Source

    Dataiku: Comprehensive Functionality for Diverse Skill Levels, with an Intuitive Interface

    5.0
    Dec 3, 2025
    Dataiku has provided our team with so much functionality, all in one easy-to-use platform.
...
Showing Result 1-5 of 964

Recommended Gartner Insights

  • Critical Capabilities for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
  • Magic Quadrant for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
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User Sentiment About Dataiku
Reviewer Insights for: Dataiku
Deciding Factors: Dataiku Vs. Market Average
Performance of Dataiku Across Market Features

Dataiku Likes & Dislikes

Like

Dataiku support is exceptional. Their prompt response and thorough understanding of the underlying issue are un matched with other products. Dataiku offers a drag-and-drop development environment for faster development, but it also allows users to code in Python. This enables users to control every detailed aspect of components. In other words, Dataiku caters to both beginner users and advanced users who want to use scripts to automate tasks within the tool. Another important feature is the plugin ecosystem, which allows third-party plugins (mostly open-source) to extend the tools capabilities. Additionally, the LLM mesh and easy integration with most leading LLM libraries make the tool ideal for extending data science and ML projects with LLM capabilities. Dataiku offers a free community edition that allows teams to begin using the tool without any cost. This edition enables teams to assess the tools capabilities and determine if they require an enterprise-ready version. If so, they can choose from other available licenses.

Like

A flow and set of actions that help users easily understand the data pipeline.

Like

Dataiku's full suite of capabilities ranges from low-to-no-code visual recipes, multiple programming languages and coding environments (R, Python, SQL), visual application development choices (VS Code, Streamlit, Shiny, Dash, Webapp, Visual-as-Recipe etc.) to GenAI/LLMs/RAG, prompt engineering capabilities, etc. Such diverse tech offerings help meet the needs of various user personas, from technical to non-technical, from data scientists and advanced AI specialists to regular business users and AI consumers. All in a single environment. Dataiku also offers clients superior coaching, training and use case support network. All of this combined accelerates user adoption and greatly smooths the learning curve.

Dislike

There are a few minor areas for improvement in the tools visual aspect. For instance, in the visual development environment (flow diagrams), users have limited control over manually arranging the visual recipe. Its all automatically arranged, which sometimes wed prefer to do differently. However, this lack of features doesnt affect the tools technical performance or capabilities. Another missing feature is the lack of integration with cloud platforms for deploying models as APIs. While the tool has Kubernetes infrastructure to serve API models, we prefer a GCP cloud-run environment. It offers better security, load-balancing capabilities, and a more cost-effective environment. The licensing is a bit expensive, particularly if an organization decides to onboard citizen data scientists from businesses using the tool. The developer license and potential return on investment may not be justifiable for some organizations.

Dislike

The virtual training provided by the vendor to the company was difficult to understand and might discourage people from starting to use this product.

Dislike

(1) Depending on each client's internal enterprise informatics and security infrastructure settings and domain specific compliance and constraints, the out-of-box Dataiku AI Platform often needs to be configured or set up to meet a client's specific needs. Therefore, it is important to ensure that the Dataiku AI Platform continues to provide a modularized and flexible architecture to meet client company's specific needs. (2) AI, especially the Agentic AI field is changing and evolving rapidly. There are many competing solutions out in the marketplace, we are still facing the challenge of which AI or Agentic AI platform to select that offers ease of integration into our enterprise ecosystem in terms of people, process and technology.