VMware datastore types define the storage model that holds your virtual machine disks and related files inside a vSphere environment. The short answer is this: in the November 3, 2025 context, the datastore classes most commonly visible in vSphere are VMFS, NFS, NFS41, VSAN, and VVOL; each one behaves differently in terms of performance model, management style, host sharing, and operational risk. This guide is written for infrastructure teams that want to choose the right datastore model deliberately.
Quick Summary
- Broadcom vSphere API references explicitly list datastore types such as VMFS, NFS, NFS41, VSAN, and VVOL.
- VMFS is the classic block-storage-oriented datastore model used across many traditional ESXi environments.
- NFS and NFS 4.1 provide file-based shared storage options that many teams prefer for operational simplicity.
- vSAN turns cluster disk resources into a shared datastore layer without requiring a separate external NAS or SAN in the traditional sense.
- vVol moves storage management closer to the virtual-machine level instead of depending entirely on large traditional datastore boundaries.
- Datastore selection is not only about capacity; it also affects policy design, migration workflows, visibility across hosts, and day-two operations.
Table of Contents
- Why Do Datastore Types Matter?
- Core Datastore Types in the November 3, 2025 Context
- What Is a VMFS Datastore?
- What Are NFS and NFS-41 Datastores?
- What Is a vSAN Datastore?
- What Is a vVol Datastore?
- Local vs Shared Datastore
- When Should You Choose Each Datastore Type?
- First 15-Minute Checklist
- Frequently Asked Questions
Image: Wikimedia Commons - Citigroup-data-center-in-frankfurt-1.
Why Do Datastore Types Matter?
The datastore type does more than decide “where files live.” It affects how storage is managed, how workloads move, and what kind of operational tradeoffs your team will handle over time.
In practice, datastore type influences:
- host sharing model
- expansion and migration workflow
- performance troubleshooting approach
- storage policy behavior
- backup, clone, and maintenance patterns
That is why “it has enough free space” is usually not a strong storage decision on its own.
Core Datastore Types in the November 3, 2025 Context
Broadcom vSphere API references and datastore type enumerations show these main classes:
- VMFS
- NFS
- NFS41
- VSAN
- VVOL
This matters for two reasons. First, it shows that vSphere storage can be presented through block, file, hyperconverged, and policy-driven models. Second, it confirms that not every datastore behaves the same way in migration, visibility, or management workflows.
Related guides:
What Is a VMFS Datastore?
VMFS is VMware’s file-system model for block-based storage in vSphere environments. It is commonly used on SAN-backed storage, local disks, or other block presentation methods.
VMFS remains attractive because it offers:
- a mature and familiar operating model
- strong fit for many traditional enterprise vSphere designs
- compatibility with shared block-storage cluster workflows
Even so, it should not be treated as the automatic answer for every environment. If the real need is file-based simplicity, hyperconverged storage, or a more VM-centric policy model, another datastore type may be a better fit.
What Are NFS and NFS-41 Datastores?
An NFS datastore works by letting ESXi hosts mount a file share and consume it as datastore storage. NFS 4.1 appears as a distinct datastore type in vSphere references and should be treated as a separate protocol variant within the same family.
The strengths of the NFS family often include:
- readable export and path management
- the ability to provide shared storage without presenting block devices
- operational simplicity for some infrastructure teams
The important point is that success is not defined only by a mount completing. Teams still need a consistent approach to export naming, host visibility, and operational standards across the environment.
What Is a vSAN Datastore?
vSAN is VMware’s hyperconverged storage model that turns cluster disk resources into a shared datastore layer. Broadcom vSAN documentation describes vSAN datastore behavior in direct relation to the cluster storage pool.
vSAN becomes compelling when teams want to:
- scale compute and storage together
- avoid managing a separate traditional storage platform
- operate storage through cluster-level software-defined policies
Choosing vSAN is not only a datastore choice. It is also an architectural choice.
What Is a vVol Datastore?
vVol moves storage management closer to the virtual-machine level instead of relying only on large traditional datastore containers. Broadcom knowledge-base material and VMware documentation position vVol as a more VM-aware storage model.
Its practical value can include:
- storage policy behavior that is closer to the VM
- more granular lifecycle control on supported platforms
- a less rigid model than depending entirely on traditional large datastore boundaries
At the same time, vVol should be chosen only after checking storage-platform support and operational readiness. “More modern” does not automatically mean “better for this environment.”
Local vs Shared Datastore
Many teams focus on datastore type and forget the second critical question: will the datastore be local to a single host, or shared across multiple hosts?
The simple difference is:
- a local datastore is typically visible to one host
- a shared datastore is visible to multiple hosts
That distinction directly affects:
- recovery planning after host failure
- live migration and cluster operations
- maintenance flexibility
- capacity governance and centralization
A local datastore may be enough for a small single-host deployment. In clustered environments with HA or live-migration expectations, shared storage is often the stronger operational model.
When Should You Choose Each Datastore Type?
There is no universal best datastore type. The better question is which datastore model matches the way your environment is actually operated.
A practical decision framework:
- VMFS: a strong candidate for block storage and classic enterprise vSphere operations
- NFS / NFS 4.1: a good fit when teams prefer file-based shared storage and simpler mount-centric management
- vSAN: a strong option for hyperconverged architecture and software-defined cluster storage
- vVol: worthwhile when the storage platform and team model support more VM-centric policy behavior
Common missteps usually look like this:
- locking into local datastore use when clustering is the real requirement
- choosing vVol before validating storage-platform support and team readiness
- defaulting to VMFS even when file-based operations would be simpler
- realizing too late that the environment actually needed a vSAN-style operating model
First 15-Minute Checklist
- The environment’s local-versus-shared storage model was defined
- Datastore type was chosen based on block, file, hyperconverged, or policy-driven needs
- Host visibility and cluster expectations were documented
- Storage-platform compatibility for the selected type was verified
- Backup, clone, and migration flows were reviewed against the selected datastore model
- Naming and capacity standards were defined
- Visibility and performance were validated with a test VM before production use
Next Step with LeonX
Datastore choice becomes the base layer for nearly every future storage operation in vSphere. LeonX helps infrastructure teams map the right datastore model to cluster design, performance targets, backup workflows, and long-term growth.
Related pages:
- Hardware & Software Sales
- Managed Services
- Contact
- How to Create a VMware Datastore
- How to Add a VMware Host
Frequently Asked Questions
What are the main VMware datastore types?
In the November 3, 2025 context, the primary datastore types explicitly visible in vSphere references are VMFS, NFS, NFS41, VSAN, and VVOL.
Which datastore type is the most common?
In many traditional vSphere environments, VMFS is extremely common, but that does not make it the best choice for every new deployment.
What is the main difference between NFS and VMFS?
The short answer is that VMFS aligns more naturally with block-based storage, while NFS presents storage through a file-share model.
Why is vSAN treated separately?
Because vSAN is not only a datastore type. It is also a hyperconverged storage architecture that builds a shared datastore layer from cluster disk resources.
Is vVol right for every environment?
No. vVol becomes meaningful only when the storage platform, operational model, and policy requirements actually support it.
Conclusion
Choosing among VMware datastore types is not just a technical menu selection. It is a storage-operating-model decision. In the November 3, 2025 context, the safe approach is to define the local-versus-shared requirement first and then map VMFS, NFS, NFS 4.1, vSAN, and vVol against how your team will actually run the environment.
