Audience

Data scientists, machine learning engineers, business analysts, and organizations looking to scale and operationalize AI and data science projects across departments and industries

About Dataiku

Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries.

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Pricing

Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

API:
Yes, Dataiku offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5
More Reviews Write a Review

Company Information

Dataiku
Founded: 2013
France
www.dataiku.com

Videos and Screen Captures

Play Video Dataiku Screenshot 1 Dataiku Screenshot 2
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation
Live Online
Webinars
In Person
Support
Phone Support
Online

Dataiku Frequently Asked Questions

Q: What kinds of users and organization types does Dataiku work with?
Q: What languages does Dataiku support in their product?
Q: What kind of support options does Dataiku offer?
Q: What other applications or services does Dataiku integrate with?
Q: Does Dataiku have an API?
Q: What type of training does Dataiku provide?
Q: Does Dataiku offer a free trial?

Dataiku Product Features

Artificial Intelligence

For Healthcare
For Sales
For eCommerce
Predictive Analytics
Process/Workflow Automation
Chatbot
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
High Volume Processing
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Preparation

Data Access
Data Blending
Data Mashup
Data Transformation
Data Modeling
Visual User Interface
Collaboration Tools
Data Governance
Machine Learning
Data Cleansing

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Machine Learning

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

Dataiku Additional Categories

Dataiku Verified User Reviews

Write a Review
  • A Data Science Studio (DSS) User
    Business Analyst
    Used the software for: Less than 6 months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 500 - 999
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Dataiku - Review"

    Posted 2020-06-17

    Pros: (+) 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.

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

    Overall: 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.

    Read More...
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