# Object, file or block storage: choose the interface your application needs

> Distinguish storage interfaces, access semantics and operational responsibilities before turning a capacity requirement into an application architecture.

Canonical human page: https://swissoctet.com/insights/object-file-block-storage/

SwissOctet Editorial. Topic: storage. Level: Foundation. Reading time: 4 minutes.

## Direct answer
Block storage presents a volume, file storage presents a filesystem interface, and object storage presents objects addressed through an API. Choose the interface your software expects, then compare consistency, access, performance and recovery. None of these labels by itself establishes a backup or an unlimited capacity promise.

## Start with the application's interface
Before comparing terabytes, identify how the application reads and changes data. Does it expect a locally mounted volume, a shared path with file permissions or an API that retrieves an object by key? Those interfaces are different. A product with plenty of capacity can still require significant application changes if it exposes the wrong access model.

Write down concrete operations: append to a file, update part of a database, list a directory, serve a large image or let several machines edit the same document. The storage choice should support those operations deliberately. Treat convenient client tools as adaptations to investigate, rather than assuming they make every backend interchangeable.

## Understand block storage responsibilities
Block storage provides a volume-like interface on which a system can build a filesystem or another data layout. The operating system and application usually manage the meaning of the data written into those blocks. It is a common foundation for system disks and applications that expect a mounted volume, but its exact attachment and sharing rules depend on the implementation.

Plan partitions, formatting, filesystem capacity and recovery before using the volume. A block allocation does not automatically create a database-consistent backup or safely allow several unrelated machines to write at once. Verify the product's attachment model and any software coordination it requires. The right access pattern is as important as the capacity number.

## Understand file storage semantics
File storage gives applications names and paths through a filesystem interface. A shared service may expose a protocol such as NFS, with implementation-specific permissions, locking and consistency behaviour. Amazon EFS is one documented example of an NFS-based service; its capabilities describe EFS, not every shared filesystem or a SwissOctet storage option.

For a team workspace, ask how identities map to permissions and what happens when two clients update the same file. For an application, verify the operations it depends on rather than testing only a directory listing. Network reachability and client configuration are part of the operating system design when the files are accessed remotely.

## Understand object storage as an API
Object storage addresses stored content through keys and associated metadata. Amazon S3 documents this model with buckets, object keys and version identifiers. An object interface suits software designed to upload and retrieve content through that API. It is a different abstraction from a disk mounted by the operating system or a shared directory with ordinary file operations.

Do not assume a folder-like browser establishes filesystem semantics. Prefixes can help organise names while the API still controls how objects are created and changed. Verify the chosen service's consistency, versioning and access-control behaviour. These details determine whether an upload workflow, media catalogue or export repository can use the interface safely and efficiently.

## Map a practical project to the interfaces
Consider an illustrative application with a relational database, user-uploaded images and a directory shared by batch workers. The database may expect a suitable volume, images may fit an object-aware application design, and the workers may require a shared filesystem. Combining interfaces can be sensible when each serves a clear role rather than forcing every dataset into one storage product.

The table below is a starting point for questions, not a product recommendation or a claim about currently available SwissOctet object services. The catalogue lists storage resources for its actual configurations. If you want to expose a file or object service yourself, verify the software, resource needs and administrative work required to build it.

| Application requirement | Interface to evaluate | Question before deployment |
| --- | --- | --- |
| Mounted system or database volume | Block | Does the application support the volume and recovery method? |
| Shared paths between clients | File | Are permissions, locking and consistency suitable? |
| API-based media uploads | Object | Does the application support the API and access rules? |
| Independent backup repository | Any supported target | Does the recovery tool verify and restore this format? |

## Compare performance without mixing metrics
Capacity, operation latency and sustained transfer are different characteristics. A workload reading large media objects differs from one updating many small files or database pages. Build a representative test with realistic data size and concurrency. Include client processing and network transfer where they belong instead of attributing the whole result to the storage backend.

Also examine how the system behaves near its practical limits. Growing files, object-list operations, metadata activity and simultaneous clients can change the resource picture. Measure normal and busy periods, leave capacity for maintenance and define alerts before the environment fills. A label such as NVMe identifies a storage technology, not every application outcome.

## Keep security and recovery across every interface
Use an access model appropriate to each dataset. Keep administrative credentials separate from application access and protect any keys required to decrypt retained data. Review public exposure explicitly: a privately intended file share or object collection should not become accessible merely because its application was deployed with convenient defaults.

Finally, plan a restore that covers all related stores. A database recovery point and the uploaded files it references must work together. Document ownership, backup format and the recovery order. When comparing SwissOctet Vault or server storage, read the exact allocation and options; do not infer a managed object API, replication policy or backup guarantee from a broad storage label.

## Checklist
- List the operations the application needs.
- Identify its expected storage interface.
- Check sharing, locking and access semantics.
- Test realistic data and concurrency.
- Keep application and administrative access separate.
- Restore all related datasets together.

## Frequently asked questions
### Can object storage be used like an ordinary disk?
Adaptation tools exist, but the underlying API and semantics differ. Validate the application's required operations rather than assuming a mounted interface makes them equivalent.

### Is SAN automatically object storage?
No. A SAN label does not establish an object API. Read the actual volume and access specification and confirm what the configuration exposes.

### Which interface is best for backups?
Choose a target supported by your backup tool and verify access separation, retention and restoration. The interface alone does not determine backup quality.

## Primary sources
- [AWS: Block, file and object storage compared](https://aws.amazon.com/compare/the-difference-between-block-file-object-storage/)
- [Amazon S3: Objects overview](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingObjects.html)
- [Amazon EFS: File-system interface and access semantics](https://docs.aws.amazon.com/efs/latest/ug/whatisefs.html)

## Related infrastructure
- [Vault Storage](https://swissoctet.com/services/vault/index.txt): Room for media, archives and growing datasets. A storage-focused Linux configuration.
- [Pulse NVMe](https://swissoctet.com/services/pulse/index.txt): Fast NVMe storage for applications where I/O is part of the performance equation.
- [Metal EPYC](https://swissoctet.com/services/metal-epyc/index.txt): AMD-powered dedicated hardware for parallel workloads and serious compute.

## Related guides
- [When NVMe makes a difference to your application](https://swissoctet.com/insights/nvme-storage-when-it-matters/index.txt): Distinguish capacity, latency and throughput so that a faster storage label answers a real application problem.
- [Measure NVMe performance without misleading yourself](https://swissoctet.com/insights/nvme-benchmark-methodology/index.txt): Define the I/O pattern, control cache effects and inspect latency distributions before drawing an application conclusion from a disk test.
- [Snapshots and backups: choose the failure you need to survive](https://swissoctet.com/insights/snapshots-backups-consistency/index.txt): Compare recovery points, failure boundaries and application consistency instead of assuming a snapshot and an independent backup provide the same protection.