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Dataiku

Mammoth vs Dataiku

Dataiku is a heavyweight enterprise platform designed for complex, IT-led deployments. It offers breadth, but at the cost of steep learning curves, long implementations, and high total cost of ownership.

Mammoth is built for modern data teams who need speed and agility. Real-time collaboration, versioned workflows, and cloud-native execution in one intuitive, audit-ready platform.

Why teams choose Mammoth over Dataiku

Dataiku is powerful but heavy. Deployments often require large engineering teams, expensive infrastructure, and months to get value. Mammoth is lightweight and cloud-native. Teams get governed workflows, full version history, and task-level control, without the enterprise baggage.

"Mammoth gave our local teams the ability to generate the reports they needed, when they needed them. It has dramatically improved agility at the store level."

— Data Insights Team, Starbucks
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Feature comparison

Mammoth vs Dataiku

Drag-and-drop interface

Cloud-native execution
Real-time collaboration
Pipeline version control
End-to-end data governance
Modern integrations (dbt, GitHub, etc)
Flexible, usage-based pricing

Built for teams, not IT departments

Dataiku requires dedicated engineering resources and enterprise rollouts. Mammoth is plug-and-play for analytics teams. Clean, transform, and publish data in one shared workspace, with seamless integrations into Power BI, Looker, dbt, and more.

“Mammoth gave us instant visibility across trade channels—without adding workload to our teams.”

— Regional Sales Ops Lead, Bacardi
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