Used For

• +**Your data scientists use Jupyter, analysts use Tableau, and engineers use Airflow - nobody can find anything** → Everyone works in one platform with shared projects and governance
• +**Business users wait 2 weeks for data scientists to build basic dashboards** → Non-technical people can build their own visualizations and run AutoML models
• +**Your ML models sit in notebooks forever because deployment is a nightmare** → Models become REST APIs in a few clicks, with monitoring built-in
• +Connects to 40+ data sources without writing custom connectors
• +GenAI integration with enterprise security - no shadow IT ChatGPT usage

Best For

• >Your data team is juggling 6 different tools and your CTO wants one source of truth
• >You have both technical data scientists and non-technical business users who need to collaborate on the same projects
• >Enterprise compliance requirements mean you can't have AI and data projects scattered across random tools

Not For

• -Teams under 20 people - you're paying enterprise prices for collaboration features you don't need
• -Anyone wanting simple business intelligence - Tableau or Power BI alone will cost 1/3 the price
• -Startups with limited budgets - the custom pricing model starts high and goes higher

Pairs With

• *Snowflake (where your actual data warehouse lives - Dataiku connects but doesn't replace it)
• *Tableau (for executives who want prettier dashboards than what Dataiku's 30 chart types provide)
• *Airflow (for complex data orchestration that goes beyond Dataiku's automation scenarios)
• *Slack (where your team gets alerts about data quality issues and model performance)
• *AWS (for deployment infrastructure when you go the self-hosted route)
• *dbt (for data transformation workflows that data engineers prefer over visual transformers)

The Catch

• !Pricing is completely opaque - expect $20k-50k+ monthly minimums based on typical enterprise data platform patterns
• !The learning curve for business users is steeper than marketing suggests - someone needs to become the platform admin
• !You'll still need other tools for specialized tasks - it's comprehensive but not actually everything

Bottom Line

The everything-and-the-kitchen-sink data platform that costs enterprise prices even for mid-sized teams.