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NetApp vs. VAST

Don’t believe in VAST promises



Why enterprises choose a true hybrid cloud AI

The world is filled with AI promises from upstart vendors – but only if you live by their rules and limited choices. We say walk away. Walk away from constraints. Embrace the only true enterprise hybrid cloud solution. AI on your terms. No false promises. Just proven enterprise excellence.

When experience matters

Build a scalable data infrastructure for your AI

NetApp vs. VAST is no contest. Unlike other vendors with one-size-fits-all proposals, we can help you tackle complex challenges including AI, scalable architecture, automatic data tiering, hybrid cloud, enterprise-grade security, and a myriad of other challenges.

Don't believe the hype

Upstart vendors make promises, but we keep ours. Here are just three examples.

Enterprise-grade security

There’s nothing better than having the most secure storage on the planet. Unlike VAST, we offer NSA-validated safeguards. We offer native real-time ransomware detection and application-consistent snapshots—all production-ready and validated.

True hybrid cloud

Unlike VAST, we deliver unified hybrid cloud infrastructure through first-party cloud storage that enables seamless data mobility across AWS, Azure, Google Cloud, and on-premises—all from a single control plane. So your AI workflows stay agile and scalable as you grow. VAST limits you to a cobbled together cloud marketplace solution dependent on piecemeal cloud services.

Cost-effective tiering

The backbone of scaling starts with cost-effective tiering. By choosing our intelligent data tiering, you can automatically move cold data to lower-cost storage, optimizing your costs. Unlike VAST, which lacks native tiering, we give you options, not lock-in.

Explore AI solutions for growth

NetApp’s unified portfolio ensures the right storage for every AI workload, no matter where it lives. Discover cutting-edge offerings like the AI Data Engine, built-in governance and lifecycle management, and other flexible AI solutions optimized for every business strategy.

NetApp vs. VAST comparisons

NetApp vs. VAST comparisons

NetApp vs. VAST comparisons

Feature NetApp VAST Data
Hybrid cloud integration Native first party cloud integrations with AWS, Azure, and Google Cloud Limited to separate cloud marketplace
Scalable architecture Flexible, supports both scale-out and controller-based solutions Scale-out only
Enterprise-grade security NSA validation, native real-time ransomware protection, and data governance 3rd party bolted on ransomware protection, limited snapshot protection
Data tiering Intelligent tiering—flash, HDD, cloud, automated cost controls No automated tiering
Flexibility TLC, HDD, and QLC options, matches workload requirements QLC-only model
Unified management Offers holistic solutions and unified data management across all business needs and environments, not just AI AI data silo, manages AI data only

What analysts and customers are saying

IDC logo

“NetApp has taken significant steps to strengthen its portfolio and become a serious contender in the rapidly evolving and increasingly competitive market for AI-ready data storage infrastructure.”

— IDC Special Study: AI-Ready Data Storage Infrastructure: Definition, Taxonomy, Ontology and Future Outlook, #US53709325, January 2026

“With NetApp’s unified, end-to-end infrastructure, we accelerated our AI projects—without compromising on security or scalability. There’s simply no comparison.”

— Director of IT Operations, Fortune 500 Retailer

Your questions, our expertise (FAQ)

How do you design scalable cloud architecture for AI?

A true hybrid cloud approach provides modular, scalable infrastructure—easily integrating across public clouds and on-premises so your AI workloads can scale without limits.

What is enterprise grade security?

Enterprise-grade security means end-to-end safeguards including native ransomware protection, continuous monitoring, regulatory compliance support, and NSA validation—all built in as standard.

What is scalable architecture?

Scalable architecture is about aligning storage capabilities with your needs—whether you need to scale out rapidly for AI data growth or leverage controller-based solutions for general workloads.

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