Unifies diverse users and data work on a single platform, fostering collaboration.
Accelerates the development and deployment of AI and analytics solutions.
Provides strong governance and explainability features for trusted AI.
Supports both traditional machine learning and cutting-edge Generative AI applications.
Offers tailored offerings for different team roles like AI/ML and Data Analytics.

Cons

Requires significant organizational commitment to fully leverage its comprehensive capabilities.
The breadth of features might have a learning curve for new users.
Specific pricing details are not publicly available, requiring direct contact for enterprise solutions.

What is Dataiku?

Dataiku is a comprehensive platform designed to empower organizations to build, deploy, and manage AI and analytics projects across the enterprise. It unifies various data work, from data preparation and traditional analytics to machine learning and Generative AI, within a single, governed environment. The platform caters to a wide range of users, from business analysts to data scientists and ML engineers, enabling them to collaborate and accelerate the development of AI-powered solutions. Dataiku facilitates the entire AI lifecycle, offering tools for secure LLM gateway, development, evaluation, and governance for Generative AI and agents. It provides robust capabilities for machine learning, including AutoML and advanced techniques, with a focus on explainability. For analytics, it enhances BI and self-service efforts through visualizations, dashboards, and GenAI-powered storytelling. The platform also significantly speeds up data preparation, allowing users to connect, cleanse, and prepare data efficiently for various AI and analytical tasks. It emphasizes AI governance and MLOps to ensure responsible and scalable AI deployment.

Available on: Web

Louis Corneloup Updated May 26, 2026 · how we evaluate Source dataiku.com ↗

Ratings Across the Web

4.5 (243 reviews)

Dataiku holds an aggregate rating of 4.5 out of 5 from 243 reviews across G2 and Capterra, last checked September 17, 2026.

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Secure LLM gateway for Generative AI development
No-code to full-code development tools for AI agents and ML models
Automated Machine Learning (AutoML) for faster model building
Visual data preparation and cleansing tools
Interactive dashboards and data visualization
GenAI-powered storytelling for analytics and insights
AI governance and risk management across all AI projects
Automated data pipelines and MLOps for deployment and monitoring

Pricing Plans

Free Trial

Pricing checked Oct 4, 2026

Dataiku plans and prices, checked October 2026
Plan	Price	Details
Free Edition	Free	Install Dataiku on Your Infrastructure Collaborate with up to 3 users Prepare data and build basic data projects and apps (no deployment, automation, governance) +3 more Show less 3 users Limited Data Connectivity Limited Data Protection & Security Features
Free Trial	Free	Ready in under 2 minutes Fully managed by Dataiku on our secure servers Collaborate with up to 2 users +4 more Show less Start exploring end-to-end Dataiku features for building and automating AI projects 2 users Limited Data Connectivity Limited Data Protection & Security Features
Paid Editions	Contact us	Scale AI with enterprise-wide collaboration, governance, ops, and model deployment features Tailored offerings for any size team or business Hosted by Dataiku or self-hosted +8 more Show less Enterprise-wide Collaboration Features Data Connectivity Data Protection & Security Features Pipeline Automation Features Advanced LLM Mesh Enterprise-Wide Deployment AI Governance Features Ops & Model Deployment Features

Included in all plans

Visual Data Prep & AutoML
Full Code (Python, R) Data Prep & ML
The LLM Mesh
End User Analytics & AI Applications
Generative AI-Powered Assistants

View full pricing

Is Dataiku worth the price?

Good value

Dataiku's pricing model is generous for individuals and small teams with its robust Free Edition and Free Trial, offering significant functionality without cost.

However, the 'Contact us' for Paid Editions suggests enterprise-level pricing, which can be expensive but is typical for comprehensive AI platforms. It's best for organizations looking for a scalable, end-to-end AI platform, from small teams exploring AI to large enterprises deploying it.

Full Dataiku pricing: every plan, hidden costs and alternatives

Reviews

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4.5/5

Across 243 verified user reviews on G2, Capterra

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Dataiku FAQ

How does Dataiku support Generative AI projects?

Dataiku facilitates the entire AI lifecycle for Generative AI, offering tools for secure LLM gateway, development, evaluation, and governance. It allows organizations to build, deploy, and manage Generative AI and agent projects within a single, governed environment.

Which teams benefit most from using Dataiku?

Dataiku is designed to benefit a wide range of teams, including business analysts, data scientists, and ML engineers. It unifies diverse users and data work on a single platform, fostering collaboration across roles like AI/ML and Data Analytics.

How is Dataiku priced?

Dataiku is available on a free tier, with paid plans offered for more extensive usage and additional features. Specific pricing details for enterprise solutions require direct contact.

Can Dataiku be used for traditional machine learning alongside Generative AI?

Yes, Dataiku supports both traditional machine learning and cutting-edge Generative AI applications. It provides robust capabilities for machine learning, including AutoML and advanced techniques, with a focus on explainability.

What kind of trade-offs should organizations consider when adopting Dataiku?

Organizations should consider that fully leveraging Dataiku's comprehensive capabilities requires significant organizational commitment. Additionally, the broad range of features might present a learning curve for new users.

How does Dataiku compare to Alteryx for data preparation and analytics?

Dataiku unifies various data work, from data preparation and traditional analytics to machine learning and Generative AI, within a single, governed environment. It significantly speeds up data preparation, allowing users to connect, cleanse, and prepare data efficiently for various AI and analytical tasks.

Source: dataiku.com

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