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VAST Data

All-flash storage designed to make hard disk tiers unnecessary

As of 1 September 2026, VAST Data's pricing is not published; the vendor quotes on request. A flash storage platform whose architecture separates stateless compute nodes from shared NVMe enclosures, aiming to make all-flash cheap enough to remove the disk archive tier entirely. Softwr lists it under File Storage. VAST Data is available on Linux.

Overview

What VAST Data does

VAST Data sells a disaggregated shared-everything storage architecture in which stateless protocol servers talk over NVMe fabric to enclosures of low cost QLC flash fronted by storage class memory. Data reduction combines global deduplication with a similarity-based compression technique, and the design allows very wide erasure coding stripes that reduce parity overhead. The system presents NFS, SMB and S3 and adds a database and container layer in the newer platform releases. The distinguishing claim is economic rather than architectural: that flash at this data reduction ratio costs less per usable terabyte than a disk tier once power, cooling and rack space are counted, so the tiering problem disappears. For AI and machine learning training, where GPU clusters idle waiting on data from a slow tier, that argument decides purchases. GPU idle time is expensive enough that storage cost per terabyte stops being the deciding number. Buyers are AI and research organisations, financial services quantitative teams, life sciences and large enterprises with heavy unstructured data. The trade-off is commitment. This is a large capital or multi-year subscription purchase with no small entry point, and the data reduction ratios that make the economics work vary by dataset; a workload of already-compressed media will not reduce like a corpus of scientific data.

What people use it for

  • A GPU training cluster where storage throughput, not compute, is the bottleneck on job completion
  • A genomics group holding petabytes of sequencing output that must stay immediately readable rather than archived to tape
  • A quantitative finance team running backtests over historical market data that a disk tier cannot serve fast enough
  • An organisation consolidating a fast tier and an archive tier into one system to reduce rack space and power draw

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about VAST Data.

  • Data reduction ratios drive the economics, and datasets that are already compressed, such as media or encrypted files, reduce poorly and destroy the cost per terabyte case.
  • There is a minimum viable cluster size, so the entry cost is high and the platform is not sensible for a small footprint however attractive the architecture is.
  • Pricing is quoted against effective capacity after reduction, which means the price you signed depends on an assumption about your own data that only becomes measurable after deployment.
  • The platform has expanded into database and data catalogue functions, which broadens the roadmap but means buyers evaluating it as a file system must be careful not to be sold an adjacent product they will not use.
  • As a relatively young vendor in a market of long-lived incumbents, buyers with ten year retention requirements should press on long term support commitments and hardware availability rather than assume them.

Cross-shopped

What people choose instead of VAST Data

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • VAST Data logo
    VAST Data
    vs
    Weka logo
    Weka

    Weka: Weka for a software-only high performance file system that runs on hardware you choose

  • VAST Data logo
    VAST Data
    vs
    Ceph logo
    Ceph

    Ceph: Ceph where cost and hardware freedom outweigh the need for extreme throughput

  • VAST Data logo
    VAST Data
    vs
    MinIO logo
    MinIO

    MinIO: MinIO if the requirement is S3 object storage rather than a high performance file system

Pricing

What VAST Data costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

VAST Data Platform

On request

  • Priced per usable capacity after data reduction
  • Hardware and software sold together or via certified partners
  • Subscription and capital purchase options
  • Minimum viable cluster size applies
  • No published rate card

Capabilities

Features

  • Disaggregated architecture

    Stateless compute nodes separated from shared NVMe storage enclosures

  • Similarity-based reduction

    Global data reduction beyond conventional deduplication and compression

  • All-flash single tier

    QLC flash intended to remove the need for a separate archive tier

  • Multi-protocol access

    NFS, SMB and S3 against the same data

  • Wide erasure coding

    Very wide stripes lowering parity overhead at scale

  • GPU-oriented throughput

    Designed to keep large GPU training clusters fed

  • Snapshots and replication

    Point-in-time copies and asynchronous replication between systems

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Do we still need an archive tier?

That is the central claim, and it holds when your data reduces well. Run a reduction assessment on your actual dataset before accepting the economics.

How is capacity priced?

On usable capacity after data reduction, quoted rather than published. That makes the reduction ratio assumption the most important number in the contract.

Is it suitable for a small deployment?

No. There is a minimum cluster size and the entry cost reflects it. Small footprints are better served elsewhere.

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Softwr does not host reviews and shows no star rating for VAST Data, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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