What is Dataiku?

Dataiku is an advanced enterprise AI platform that enables organizations to transition from disconnected AI initiatives to a unified, scalable, and governed AI ecosystem. It integrates people, data, and technology into a single collaborative environment where both business users and data experts can contribute to AI development. The platform supports the full lifecycle of AI projects, including data preparation, model building, deployment, and ongoing monitoring. Through powerful orchestration, Dataiku connects data pipelines, applications, and machine learning models to create seamless, automated workflows. Its governance framework ensures that all AI activities are transparent, compliant, and aligned with organizational standards, while also managing cost and risk effectively. Users can build and deploy AI agents grounded in real business data, enabling more accurate and impactful outcomes. The platform helps organizations replace manual processes and spreadsheets with intelligent, AI-driven analytics systems. It also facilitates the reuse and scaling of machine learning models across teams, breaking down silos and improving collaboration. Dataiku supports analytics modernization without disrupting existing systems, allowing companies to evolve at their own pace. With adoption across industries like healthcare, finance, and manufacturing, it has demonstrated measurable benefits such as time savings and revenue generation. Its flexible architecture allows enterprises to adapt quickly to changing business needs and emerging AI trends. Ultimately, Dataiku empowers organizations to operationalize AI at scale and drive sustained business value through intelligent decision-making.

Pricing

Free Version:
Free Version available.
Free Trial Offered?:
Yes

Integrations

Offers API?:
Yes, Dataiku provides an API

Screenshots and Video

Company Facts

Company Name:
Dataiku
Date Founded:
2013
Company Location:
France
Company Website:
www.dataiku.com

Product Details

Deployment
SaaS
Windows
Mac
Linux
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Dataiku Categories and Features

Machine Learning Software

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Data Analysis Software

Data Discovery
Data Visualization
Predictive Analytics

Artificial Intelligence Software

For Healthcare
For Sales
For eCommerce
Predictive Analytics
Process/Workflow Automation

More Dataiku Categories

Dataiku Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: Business Analyst
    Has used product for: Less than 6 months
    Uses the product: Weekly
    Org Size (# of Employees): 500 - 999
    Feature Set 5 out of 5 stars
    Layout 5 out of 5 stars
    Ease Of Use 5 out of 5 stars
    Cost 4 out of 5 stars
    Customer Service 4 out of 5 stars
    Would you Recommend to Others? 9 out of 10

    Dataiku - Review

    5 out of 5 stars Date: Jun 17 2020
    Summary

    I have recently started using Dataiku for data science projects, the tool is very good. Supports a lot of data sources, and various programming languages. I have used the inbuilt jupyter notes in Dataiku. You can set optimizations as per requirement like you can optimize F1 score or recall or AUC which is a very interesting feature and can be put to great use.

    On an overall level, it is a very good tool for data science projects.

    Positive

    (+) Integration with various data sources like snowflake, s3, and many other platforms.
    (+) You can code in various languages like python, R, SQL.
    (+) Easy to use and adapt and has a very neat interface.
    (+) You can create a flowchart of your entire project in a pictorial representation.
    (+) Multiple collaborators can work at a time on a single project.

    Negative

    (-) Limited representation (Visualization) capabilities.
    (-) Its inability to compile the entire code into one document.
    (-) Reloading of code is an issue (UI Problem).

    Read More...
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