Dataiku
Claim this toolThe Universal AI Platform™ for unifying human expertise and AI reasoning at scale.
Visit WebsiteReviews onG2Capterra
201 reviews trackedThe 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.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
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
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
4.5(201 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Secure LLM gateway for Generative AI developmentNo-code to full-code development tools for AI agents and ML modelsAutomated Machine Learning (AutoML) for faster model buildingVisual data preparation and cleansing toolsInteractive dashboards and data visualizationGenAI-powered storytelling for analytics and insightsAI governance and risk management across all AI projectsAutomated data pipelines and MLOps for deployment and monitoring
Pricing Plans
Free TrialPricing checked Jul 4, 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
Reviews
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4.5/5
Across 201 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