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Dataiku
Build, govern, and deploy machine learning projects in one collaborative platform.
Dataiku is an enterprise AI and machine learning platform that brings data preparation, analytics, model development, deployment, and governance into one collaborative environment. It supports both code-first data scientists and no-code or low-code teams that need to move machine learning projects from experimentation into production.
Updated
2026-08-30
Platforms
Web / Cloud / AWS / Azure / Google Cloud
dataiku.com
Key Features
Data Preparation
Clean, transform, explore, and document data in shared project workflows.
Model Development
Combine visual tools with notebooks and code to build and evaluate machine learning models.
MLOps Workflows
Operationalize models with repeatable deployment, monitoring, and lifecycle processes.
AI Governance
Manage access, documentation, standards, and collaboration across governed AI projects.
Pros
- Covers the full data-to-production machine learning lifecycle
- Supports both code-first and visual workflows
- Built for collaboration across technical and business teams
- Includes enterprise governance and operationalization capabilities
Considerations
- Enterprise platform pricing can be significant
- Full adoption may require training and workflow changes
- Advanced deployment and governance need careful implementation
Best For
Data scientists
Prepare data, develop models, and move experiments toward production with code and visual workflows.
Data analysts and business teams
Use low-code and no-code tools to explore data and contribute to machine learning projects without deep programming expertise.
Enterprise AI and MLOps teams
Standardize deployment, monitoring, governance, and collaboration across business-critical AI initiatives.
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