Executive Summary
Most storage evaluations compare arrays. The expensive mistakes are made one step earlier, by buying the right product for the wrong kind of data, or the right hardware under the wrong operating model.
Enterprise storage used to be one purchase with three protocols attached. It has become several purchases that happen to share a word. Block storage still carries databases and virtual machines, and the buying question there is availability and how upgrades are done. File storage carries the shared, unstructured estate, and the question is where people and applications read it from. Object storage carries the largest and fastest-growing data, from backup copies to AI training sets, and the question is cost at scale and which applications can address it. A vendor strong in one of these can be thin in another, so check each vendor against the data it will actually hold.
Underneath the data question sits an operating-model question that most evaluations reach too late: whether you want to own hardware, subscribe to capacity that a vendor installs and runs, run storage software on hardware you choose, or put the data in somebody else's cloud. The same organization often needs more than one answer. The point of this guide is to make those two choices explicit before anyone compares a performance figure, because the performance figure rarely decides the outcome and the other two almost always do.
Why Storage Is Back on the Agenda
For most of the last decade storage was a refresh cycle: the array aged out, a newer one replaced it, and the data migration was the painful week everybody remembered. Three things broke that rhythm at once. AI workloads arrived needing very large volumes of unstructured data read at high speed, which is not what most file and block estates were built for. Ransomware turned storage from a capacity question into a recovery question, so the snapshot architecture now matters as much as the throughput. And the vendors themselves started selling storage as a subscription rather than a box, which changes who carries the refresh risk and how the spend lands in the budget.
The vendors have noticed the same shift and are describing it in their own terms. VAST Data describes its platform as unifying storage, database and compute into a single software platform for AI and deep learning. MinIO calls AIStor an enterprise AI data store. Nasuni states that it consolidates storage, backup and disaster recovery into one platform, with capacity growing in object storage rather than on an array. Each of these is a claim that the storage purchase should absorb something that used to be a separate purchase, and each deserves a specific question in the evaluation: which separate product does this replace, and does the team that owns that product agree?
The awkward part for buyers is that the operating-model decision is now partly a finance decision. A subscription that scales in small increments spreads cost across the term and moves refresh risk to the vendor; owning the hardware keeps the asset and the risk. Neither is cheaper in general. Which one is cheaper for you depends on how predictable your growth is, and that is a forecast your storage team and your finance team should make together rather than one either makes alone.
Operating Model Decision
Building storage from scratch is not a realistic option for an enterprise, but running storage software on hardware you select is, and it is the option most buyers under-weight. Software-defined object storage runs on commodity servers you choose and replace on your own schedule; MinIO describes its product as software-defined storage that scales from edge deployments to exabyte-scale clusters. The trade is that your team owns the hardware lifecycle, the failure handling and the upgrade testing that an appliance vendor would otherwise carry.
At the other end, a subscription moves that work to the vendor. Everpure says it handles rack, stack, monitoring, maintenance and upgrades, and says Evergreen//One takes on day-to-day management with guaranteed SLAs. The same vendor also sells a conventional ownership model: Everpure describes Evergreen//Forever as a traditional ownership model with a guaranteed controller refresh every three years. That one vendor offers both is the useful signal. The operating model is a commercial choice layered on the same hardware, and it should be negotiated as one rather than accepted as a feature of the product.
| Operating model | What you buy | What you take on |
|---|---|---|
| Own the array | Hardware, software and a support contract | Capacity forecasting, refresh timing and migration risk |
| Storage as a service | Capacity and service levels, metered as you use them | Contract terms, minimum commitments and dependence on one vendor's roadmap |
| Software on your hardware | A storage software license or subscription | Hardware selection, failure handling and upgrade testing |
| Third-party cloud object storage | Capacity in a provider's data centers | Network paths, data residency and the provider's fee schedule |
| Cloud-backed file | A file system that keeps its copy in object storage | Dependence on the object store underneath, and on the network to it |
How do you evaluate Enterprise Storage (Block, File & Object)?
Score these products on what they let you stop doing, not on their peak numbers. A benchmark is chosen by the vendor that publishes it. The differences that survive into year three are about protocols, upgrades and recovery: whether the system speaks the access methods your applications need, whether it can be upgraded and expanded without moving data, and how quickly it recovers after an attack.
Protocol coverage is the first filter, and it removes more vendors than any performance test. VAST Data states that all data from edge to cloud can be read or written using NFS, SMB, S3 and K8S CSI; Everpure states that FlashArray unifies block, file and object storage. A product that covers only one access method is not a weaker product, but it is a narrower purchase, and narrower purchases multiply the number of systems your team runs. The second filter is upgrade and data movement. IBM states that data movements have zero downtime and are non-disruptive, guaranteed for customers in its IBM Storage Assurance Perpetual program. The third is recovery: IBM describes FlashSystem protection as built on immutable snapshots, data replication, real-time threat detection and autonomous response for recovery after cyberattacks. Ask each vendor to show the recovery, not describe it, on a volume you choose.
| Capability | What it does | Buyer translation |
|---|---|---|
| Protocol coverage | Which access methods the system serves | Decides how many systems you run. VAST Data states that data can be read or written using NFS, SMB, S3 and K8S CSI. |
| Unified block, file and object | One system for more than one kind of data | Fewer platforms, at the cost of depth in any one. Everpure states that FlashArray unifies block, file and object storage. |
| Non-disruptive upgrades and data movement | Expansion and refresh without migration downtime | The feature that removes the painful week. IBM states its data movements are non-disruptive under its Storage Assurance Perpetual program. |
| Immutable snapshots and recovery | Copies that cannot be altered, and a way back from them | The ransomware question. Test the recovery time on your data, not the vendor's. |
| Data reduction | Deduplication and compression before data is written | Changes the price per usable terabyte, and varies with your data. Measure it on a sample. |
| Global namespace | One file system visible from many sites | Replaces per-site file servers. Nasuni describes a single, global namespace for unstructured data, kept in object storage. |
| Open table formats | Analytics engines read tables directly from storage | Matters if the storage feeds a lakehouse. Ask which formats and catalogs are supported natively. |
Vendors in Enterprise Storage (Block, File & Object)
Representative vendors include Everpure, IBM, MinIO, Nasuni, VAST Data and Wasabi. The list is alphabetical, is not a ranking, and is not for sale. How we choose vendors
The approaches below follow the two decisions this guide is built around: what kind of data the product was built for, and how it is operated. Vendors cross the lines, and several now describe themselves as covering everything, but the approach still tells you where the product is deepest, which is usually where the company started.
One caution about how this market presents itself. AI has given every storage vendor a new headline, and most now describe their product as a foundation for AI. Some of that is architectural and some of it is positioning. The test is concrete: ask what the product does for an AI workload that it would not do for any other large, read-heavy workload, and ask to see the configuration a reference customer actually runs. A second shift is visible in the vendors' own addresses: a request for purestorage.com is now answered by everpuredata.com, and the company presents itself as Everpure. Check that the entity on the contract matches the one on the proposal.
| Vendor | Approach | Where it fits |
|---|---|---|
| VAST Data | AI data platforms | Large unstructured estates needing several access methods from one platform |
| Wasabi | Cloud object storage | Object storage priced on capacity, without egress or API request fees |
| Nasuni | Cloud-backed file | Multi-site organizations consolidating file servers into one global namespace |
| IBM | Enterprise arrays | Block workloads needing non-disruptive data movement and snapshot-based recovery |
| MinIO | Software-defined object | S3-compatible object storage on hardware the buyer selects and owns |
| Everpure | Storage as a service | Buyers who want capacity metered in small increments and operations handled by the vendor |
One representative of each approach is named here; the category runs to roughly two dozen vendors, and several occupy more than one camp. The camps were written before the vendors were chosen, and no placement here is for sale. Storage vendors, named here or not, can make their own case in the Spotlight below.
How much should you budget for Enterprise Storage (Block, File & Object)?
Storage pricing is quoted more often than published, and the quotes are hard to compare because vendors meter different things: raw capacity, effective capacity after data reduction, consumed capacity under a subscription, or capacity stored in a cloud provider's region. The first job in any evaluation is to convert every quote into the same unit, which for most buyers is the cost of a usable terabyte over the term, at the data reduction ratio you measured rather than the one in the proposal.
Where pricing is published, read the conditions as carefully as the figure. Wasabi lists its Hot Cloud Storage at a flat rate starting at $7.99 per TB per month, states that there are no fees for egress or API calls, and states that actual fees depend on variables including usage, API requests and geographic location. Everpure says it scales in 1TB increments with consumption-based pricing, charging for what is needed rather than provisioned capacity. Both are clear statements of how the meter runs, and both still leave the commitment terms, minimums and term discounts to the contract. Ask for those in writing before comparing anything.
| Basis | You are charged for | Grows with | Where it goes wrong |
|---|---|---|---|
| Capacity purchase | Raw or effective terabytes, bought up front | Forecast growth | Data reduction lower than the ratio the contract was sized on |
| Consumption subscription | Capacity actually used, often with a reserved minimum | Actual growth | Minimum commitments set above real use |
| Capacity plus service levels | A subscription that bundles guarantees | The tier and the guarantees chosen | Paying for guarantees the workload does not need |
| Software license | Storage software, on your hardware | Capacity under management | Hardware and operations costs left out of the comparison |
| Cloud object storage | Capacity stored, and with some providers egress and requests | Data volume and access pattern | Fees for reading data back, where they apply |
| File platform subscription | Managed capacity, plus the object storage underneath | Data under management | Two bills for one data set if the object storage is billed separately |
Most vendors here quote rather than publish, so this section describes how the meter runs rather than rates. Where a vendor publishes a figure, the guide quotes it with the vendor's own conditions.
How long does implementation take for Enterprise Storage (Block, File & Object)?
Storage migrations fail at the edges: the application nobody knew was writing to the old share, the backup job pointed at a path that moved, the permission model that did not translate. The phases below are ordered to find those edges before the cutover rather than during it.
Inventory by kind and access pattern: transactional block, shared file, bulk unstructured. Record who reads each data set and from where. This is the work that decides the shortlist, and it is the easiest step to skip because it produces a spreadsheet rather than a purchase.
Give each shortlisted vendor a representative sample and measure data reduction, throughput under mixed load and recovery from a snapshot. Size every quote on the measured ratio, and convert every quote to cost per usable terabyte over the term.
Migrate one bounded workload, including its backup jobs, monitoring and permissions. Run the old and new systems in parallel long enough to catch the writer nobody listed, and test a restore from the new system before the old one is retired.
Move workloads in order of risk, retire the old systems as each is drained, and record which separate products the new platform replaced. Re-check the measured reduction ratio after the first quarter of production data, because it is the number the next renewal will be argued over.
What should you ask vendors about Enterprise Storage (Block, File & Object)?
Most of these have an answer the vendor knows. The ones that produce a pause are the ones worth the meeting.
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Is the main workload transactional databases and virtual machines?Yes Start with block-first arrays, owned or as a service. Availability and upgrade behavior matter more than protocol breadth.No Move to the next question. File and object estates are bought on different criteria.
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Is the data read from many sites or offices?Yes Put a cloud-backed global file system on the list before you price another file server per site.No A single-site file or scale-out platform is the simpler purchase.
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Is the data large, unstructured and mostly written once?Yes Object storage, run yourself or in a third-party cloud, depending on who you want operating the hardware.No A unified platform serving file and object together may cover it without a separate system.