NETAPP vs. VAST Data

Why enterprises choose a true hybrid cloud AI

Enterprises choose NetApp over VAST Data for hybrid cloud AI storage because NetApp delivers native first-party cloud integrations with AWS, Azure, and Google Cloud, NSA-validated security with real-time ransomware protection, and automated data tiering. VAST Data relies on a separate cloud marketplace, third-party ransomware protection, and lacks native automated tiering. For organizations that need flexible, scalable infrastructure spanning on-premises and public cloud, NetApp offers a unified data management platform rather than an AI-only data silo.

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Why architecture and experience matter for AI storage at scale

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.

Key technical differentiators: NetApp vs. VAST Data

Upstart vendors make promises, but NetApp keeps them. Here are three key technical differences between NetApp and VAST Data.

FEATURENETAPPVAST DATA
Hybrid cloud integrationNative first party cloud integrations with AWS, Azure, and Google CloudLimited to separate
cloud marketplace
Scalable architectureFlexible, supports both scale-out and controller-based solutionsScale-out only
Enterprise-grade securityNSA validation, native real-time ransomware protection, and data governance3rd party bolted on ransomware protection, limited snapshot protection
Data tiering Intelligent tiering —flash, HDD, cloud, automated cost controlsNo automated tiering
FlexibilityTLC, HDD, and QLC options, matches
workload requirements		QLC-only model
Unified managementOffers holistic solutions and unified data management across all business needs and environments, not just AIAI data silo, manages AI data only

What analysts and customers are saying

Frequently asked questions

  1. Step: 01

    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.

  2. Step: 02

    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.

  3. Step: 03

    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.

  4. Step: 04

    How does NetApp's hybrid cloud integration differ from VAST Data?

    NetApp provides native first-party cloud integrations with AWS, Azure, and Google Cloud, managed from a single control plane for seamless data mobility. VAST Data, by contrast, relies on a separate cloud marketplace and piecemeal cloud services, which can limit agility for hybrid AI workloads.

  5. Step: 05

    Does VAST Data support automated storage tiering?

    No. According to NetApp's comparison, VAST Data lacks native automated tiering and uses a QLC-only model. NetApp offers intelligent tiering across flash, HDD, and cloud with automated cost controls, allowing organizations to move cold data to lower-cost storage automatically.

  6. Step: 06

    How does NetApp secure training data in hybrid cloud environments?

    NetApp protects AI training data across hybrid environments using a layered approach: FIPS 140–3 validated storage encryption, real-time ransomware detection with automated response, immutable Snapshot copies for rapid recovery, and role-based access controls enforced consistently across on-premises and cloud deployments. NetApp also supports compliance with frameworks including SOC 2, ISO 27001, FedRAMP, and HIPAA, so enterprises can meet regulatory requirements without slowing down AI operations.

  7. Step: 07

    How does NetApp help unify AI data across hybrid and multicloud environments?

    NetApp ONTAP, the operating system underlying NetApp's data platform, provides native first-party integrations with AWS, Microsoft Azure, and Google Cloud. This means data can move seamlessly between on-premises storage and any of the three major public clouds without requiring third-party connectors or manual migration. NetApp's unified data management layer ensures consistent data access, governance, and performance regardless of where workloads run.

  8. Step: 08

    How does modernizing legacy IT infrastructure help organizations scale AI?

    Legacy infrastructure, including storage systems not designed for AI data pipelines, creates bottlenecks that prevent AI workloads from scaling beyond pilots. Modernizing with NetApp provides the high-throughput, low-latency storage AI requires, integrates with cloud environments to give teams access to the latest AI tools, and enables a storage-as-a-service consumption model through NetApp Keystone, so organizations can scale capacity on demand without over provisioning.

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NetApp vs. VAST Data | NetApp