Dataiku Description

Dataiku is a comprehensive enterprise AI platform built to transform how organizations develop, deploy, and manage artificial intelligence at scale. It unifies data, analytics, and machine learning into a centralized environment where both technical and non-technical users can collaborate effectively. The platform enables teams to design and operationalize AI workflows, from data preparation to model deployment and monitoring. With its orchestration capabilities, Dataiku connects various data systems, applications, and processes to streamline operations across the enterprise. It also offers robust governance features that ensure transparency, compliance, and cost control throughout the AI lifecycle. Organizations can build intelligent agents, automate decision-making, and enhance analytics without disrupting existing workflows. Dataiku supports the transition from siloed models to production-ready machine learning systems that can be reused and scaled. Its flexibility allows businesses to modernize legacy analytics while preserving institutional knowledge. Companies across industries leverage the platform to accelerate innovation, improve efficiency, and unlock new revenue opportunities. By combining scalability, governance, and usability, Dataiku empowers enterprises to turn AI into a strategic advantage.

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Pricing

Free Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, Dataiku has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
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Company Details

Company:
Dataiku
Year Founded:
2013
Headquarters:
France
Website:
www.dataiku.com

Media

Play Video Dataiku Screenshot 1 Dataiku Screenshot 2
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Product Details

Platforms
Web-Based
Windows
Mac
Linux
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Customer Support
Business Hours
Online Support

Dataiku Features and Options

Machine Learning Software

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

Artificial Intelligence Software

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

Data Analysis Software

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

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Preparation Software

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

Data Science Software

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

Dataiku Lists

Dataiku User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Business Analyst
    Length of product use: Less than 6 months
    Used How Often?: Weekly
    Role: User
    Organization Size: 500 - 999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Dataiku - Review

    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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