Last Updated
Overview
Dataiku helps enterprises unite data, analytics, and generative AI in a governed environment. While connecting new data sources can be challenging, its seamless onboarding and accessible analytics drive innovation and collaboration at scale. Overall, it delivers transformative business value across the enterprise.
Dataiku Specifications
- Smart Data Discovery
- Self-Service Dashboards
- Automation
- Predictive Capabilities
Dataiku Features
GenAI And Agents
Dataiku enables enterprises to operationalize generative artificial intelligence (GenAI) and agents at scale. It delivers a secure large language model (LLM) gateway, code-free and full-code tools, plus assistants, empowering organizations to develop impactful agentic and generative applications efficiently.
Machine Learning
The software accelerates the creation of machine learning (ML) models through guided AutoML or advanced full-code methods. With robust evaluation and explainability, it ensures faster development cycles, enabling organizations to innovate while maintaining transparency, accountability, and trust in model performance.
Analytics And Insights
The platform enhances business intelligence (BI) and analytics with visualization, dashboards, and generative storytelling. It equips teams to uncover insights and support decision-making, ensuring accessible, trusted data informs strategies across departments in one unified, collaborative environment.
Data Prep For AI
Dataiku streamlines the connection, cleansing, and preparation of datasets with speed and efficiency. From preparation, teams transition seamlessly into analysis, modeling, or deployment. This integrated workflow ensures accurate, high-quality inputs for artificial intelligence initiatives within a single, governed environment.
AI Engineering Operations
Dataiku centralizes operational management of artificial intelligence projects in one environment. From automating pipelines for clean data to deploying and monitoring models or generative applications, the platform ensures reliability, efficiency, and scalability throughout the AI development and production lifecycle.
Pros And Cons of Dataiku
Pros
Easy to use with strong ergonomics in the studio
High value proposition, makes data analytics highly accessible
Seamless onboarding process with helpful built-in training modules
Cons
Machine learning functionality is limited to prebuilt visual algorithms
Difficulties in editing or connecting to new data sources
Dataiku Reviews
Total 39 reviews
4.2
All reviews are from verified customers
Rating Distribution
5
Stars31%
4
Stars54%
3
Stars15%
2
Stars0%
1
Stars0%
Share your experience
Rodrigo
Mid Market, 51-100 employees
“all-in-one workflow boost”
Pros
Having this tool in my stack keeps everything in one place which makes my workflow feel much more organized and a lot less scattered. It helps me stay focused and on track throughout the day. There are definitely moments when the interface feels a little overwhelming because it packs so much into one space but overall it still makes getting my work done easier.
Cons
The toughest part is that it doesn't always feel as accessible as I want it to especially when I move into the more advanced features. Sometimes I spend more time figuring out how to do something than actually doing the task itself and that gets frustrating pretty quickly.
Rating Distribution
Ease of use
9
Value for money
9
Customer Support
9
Functionality
9
Anonymous
Enterprise, 500+ employees
“Helpful templates for faster rollouts”
Pros
The ready made templates help speed up applications and make it quicker to get projects moving.
Cons
One downside is that the templates don't show the underlying code so it can be difficult at times to understand how certain features actually work especially since the documentation doesn't go into enough detail.
Rating Distribution
Ease of use
8
Value for money
9
Customer Support
9
Functionality
9
Anonymous
Small Business, 11-50 employees
“powerful integration options”
Pros
Really stands out for how powerful all the integrations you can add are.
Cons
I'm not actually a user of this tool but I do have an interest in it.
Rating Distribution
Ease of use
7
Value for money
7
Customer Support
7
Functionality
8
Frequently Asked Questions
Who are the typical users of Dataiku software?
Dataiku is typically used by organizations across diverse industries and sectors, spanning banking, life sciences, telecommunications, manufacturing, consumer goods, insurance, retail, and healthcare.
What language does Dataiku support?
Dataiku supports English, Japanese, and German languages.
What other apps does Dataiku integrate with?
Dataiku integrates effortlessly with leading platforms such as Microsoft Azure, Google Cloud, Snowflake, CData, Tableau, and Power BI.
Does Dataiku offer an API?
Yes, Dataiku offers an API.
Does Dataiku have a mobile app?
No, Dataiku does not offer a dedicated mobile application.
What level of support does Dataiku offer?
Dataiku offers support through an online contact form, live chat, blog, and a help center.
What types of pricing plans does Dataiku offer?
The Dataiku price includes flexible options, including a Free Edition, a fully managed 14-day Free Trial, and Paid Editions with custom pricing for enterprise-scale deployment. Request a detailed Dataiku cost breakdown for your organization today.