
Dataiku
Claim this toolThe Universal AI Platform™ for unifying human expertise and AI reasoning at scale.
Visit WebsiteThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Unifies diverse users and data work on a single platform, fostering collaboration.
Biggest con
Requires significant organizational commitment to fully leverage its comprehensive capabilities.
TL;DR - Dataiku
- Unifies the entire AI lifecycle from data prep to GenAI and MLOps.
- Empowers diverse teams (business to tech) to collaborate on AI projects.
- Provides robust governance and explainability for enterprise-grade AI at scale.
What is Dataiku?
Available on: Web
Pros & Cons
Pros
- 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.
Ratings Across the Web
Dataiku holds an aggregate rating of 4.5 out of 5 from 201 reviews across G2 and Capterra, last checked March 19, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Pricing Plans
Free TrialPricing checked Aug 23, 2026
Free Edition
Free
Everything in all plans, plus:
- 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 users
- Limited Data Connectivity
- Limited Data Protection & Security Features
Free Trial
Free
Everything in all plans, plus:
- Ready in under 2 minutes
- Fully managed by Dataiku on our secure servers
- Collaborate with up to 2 users
- 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
Everything in all plans, plus:
- 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
- Enterprise-wide Collaboration Features
- Data Connectivity
- Data Protection & Security Features
- Pipeline Automation Features
- Advanced LLM Mesh
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
Is Dataiku worth the price?
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.
Hidden Costs & Gotchas
Enterprise pricing not transparently listed
Limited connectivity/security in free tiers
Potential for high implementation/consulting fees
How Dataiku Compares to Competitors
Compared to platforms like Databricks or H2O.ai, Dataiku's free offerings are more accessible for initial exploration. While specific paid pricing isn't disclosed, enterprise AI platforms generally range from tens of thousands to millions annually, making Dataiku's 'Contact us' approach standard for its market segment.
Reviews

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Across 201 verified user reviews on G2, Capterra
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Dataiku FAQ
How does Dataiku support Generative AI projects?
Which teams benefit most from using Dataiku?
How is Dataiku priced?
Can Dataiku be used for traditional machine learning alongside Generative AI?
What kind of trade-offs should organizations consider when adopting Dataiku?
How does Dataiku compare to Alteryx for data preparation and analytics?
Source: dataiku.com