Dataiku

Dataiku is a collaborative data science and AI platform that brings analysts, data scientists, and business users together on one workspace. Its visual flow editor lets teams build data pipelines and machine learning models without code, while coders can work in Python, R, and SQL in the same project. Every step is documented, versioned, and governed, so work can be audited and reused.

Key Features

• Visual flow editor for data and ML projects
• Python, R, and SQL support in the same workspace
• Full ML lifecycle: training, deployment, monitoring
• Governance, versioning, and audit trails built in
• AI assistants for building and explaining models
• Connectors for warehouses, databases, and apps

Pricing

Prices as listed in 2026 research. Always check the official site for the latest price — plans change. Free plan: Yes — it has a free plan.

How it works

The platform covers the whole AI lifecycle: data preparation, feature engineering, model training, evaluation, and deployment to production, with monitoring for drift and performance. Its AI agents and assistants help teams build and explain models faster, and it connects to cloud warehouses, databases, and business applications. Dataiku is used heavily in banking, retail, and manufacturing.

Dataiku offers a free edition for small teams and individuals, with paid plans priced by quote. It is a strong pick for organisations that want governed, collaborative AI work across technical and non-technical teams, though the enterprise pricing and the breadth of the platform can be overwhelming for a solo analyst.

Pros and Cons

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