


What is Dataiku?
Dataiku is a data science platform that unifies data preparation, machine learning, and AI deployment in a collaborative environment. It connects to multiple data sources, provides visual and code-based tools for building models, and includes governance features that help data scientists, analysts, and business teams create production-ready AI applications.
What sets Dataiku apart?
Dataiku distinguishes itself with its multi-persona approach that unites data scientists, analysts, and business users on a single platform for building AI applications together. This collaborative space includes over 200 pre-built AI solutions across industries like banking, healthcare, and manufacturing to jumpstart projects without coding from scratch. Dataiku's built-in governance framework allows organizations to scale AI adoption while maintaining control through consistent standards, model monitoring, and ethical AI practices.
Dataiku Use Cases
- Enterprise data preparation
- Machine learning development
- MLOps automation
- Visual analytics dashboards
- AI governance
Who uses Dataiku?
Features and Benefits
- Access a single platform that connects all your data sources, tools, and teams for streamlined AI project development from preparation to deployment.
Unified Data Platform
- Transform raw data into analysis-ready datasets through visual interfaces without requiring coding expertise.
Visual Data Preparation
- Build and deploy machine learning models with automated workflows that guide users through the model development process.
Machine Learning Automation
- Connect to various LLMs through the LLM Mesh while maintaining governance controls for enterprise-safe generative AI applications.
Generative AI Integration
- Manage AI projects across teams with built-in documentation, version control, and approval workflows that maintain compliance and quality standards.
Collaborative Governance
Dataiku Pros and Cons
Intuitive interface with drag-and-drop functionality makes complex data workflows accessible to non-technical users
Strong collaboration features enable easy sharing and teamwork across data projects
Visual flow diagrams help track and understand complex data pipelines
Built-in automation capabilities streamline repetitive tasks and model deployment
Seamless integration with multiple data sources and programming languages
Performance can be sluggish when handling large datasets
High pricing makes it less accessible for small organizations and individual users
Resource-intensive platform requiring robust hardware
Limited documentation available for advanced features
Steep learning curve for accessing advanced functionality
Pricing
Free TrialInstall on your infrastructure
Collaborate with up to 3 users
Build basic data projects and apps (no deployment, automation, governance)
Dataiku Cloud free trial for 14 days
Ready in under 2 minutes
Fully managed by Dataiku on secure servers
Collaborate with up to 2 users
Explore end-to-end Dataiku features for building and automating AI projects
Enterprise-wide collaboration
Governance, operations, and model deployment features
Tailored offerings for any size team or business
Hosted by Dataiku or self-hosted