From Hadoop to AI: A Modernization and Migration Guide

Proven Modernization Pathways for Successful AI initiatives

Hadoop's architectural limits are blocking your AI initiatives. Tightly coupled storage and compute prevent independent scaling, slow performance on millions of small files, and drive up costs—leaving GPUs idle and inflating infrastructure spend while you can't scale.

This guide delivers a roadmap to help you move from Hadoop to a modern data lakehouse that unlocks 10x performance gains, 60+% lower TCO, and exabyte scale.

Trusted by the World's Most Demanding Data-Driven Organizations

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Real Customers. Real Results.

Real outcomes from real deployments. Each use case is backed by a customer result.

Customer Result

Scaled Analytics Drives Cloud Adoption

“MinIO has helped modernize our data analytics workloads, making them highly scalable, and has increased the adoption of cloud-native technologies within our organization.”

— Canadian Bank

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Customer Result

Doubled Analytics Data at 3x Speed

“Our migration from Hadoop to AIStor and Trino completely changed how we handle analytics. We process double the data in one-third the time, with full control over infrastructure and costs.”

— Financial Services Organization

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Customer Result

From Operational Pain to AI Foundation

“MinIO has helped modernize our data analytics workloads, making them highly scalable, and has increased the adoption of cloud-native technologies within our organization.”

— Digital Payments Provider

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Unlock Performance at Scale

Learn proven strategies for adopting object-native storage and open table formats, compare on-prem vs. cloud deployment options, and achieve immediate returns: reduced infrastructure overhead, faster analytics, and the foundation to power enterprise AI at scale.

Discover how MinIO AIStor helps customers achieve:

86% faster time-to-production — AIStor deploys rapidly with no fragile Hadoop multi-stack dependencies

66% operational savings — AIStor reduces operations effort to <1 FTE vs 3 FTEs

50+% lower infrastructure TCO — AIStor requires fewer servers lowering footprint, power, and operation cost

AI-ready from day one — AIStor is built for analytics + ML workloads with no metadata bottlenecks

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