Object storage and file storage both keep your data, but they organise and access it in fundamentally different ways — and choosing the wrong one leads to awkward workarounds later. Here's a clear comparison so you can match the storage type to the workload.

How each one works

File storage organises data in a hierarchy of folders and files, exactly like your laptop or a shared network drive. Applications reach it through a filesystem path (/data/reports/q3.pdf) and standard file operations — open, read, write, seek. It's intuitive and universally supported.

Object storage keeps data as objects — a blob plus metadata plus a unique key — in a flat namespace called a bucket, reached over an HTTP API rather than a filesystem. There are no folders (though key prefixes can imitate them), and you get or put whole objects rather than editing them in place.

The key differences

	File storage	Object storage
Structure	Hierarchical folders	Flat namespace (buckets + keys)
Access	Filesystem paths	HTTP / S3 API
Editing	In-place, partial writes	Write/replace whole objects
Scale	Limited by the filesystem	Effectively unlimited
Best for	Shared files, apps expecting a filesystem	Backups, media, data lakes, cloud-native apps

When to use file storage

Applications that expect a real filesystem (many legacy and off-the-shelf apps).
Shared drives where people open and edit documents in place.
Workloads that need low-latency, partial reads and writes to files.

When to use object storage

Backups and archives — cheap, durable, write-once.
Media and static assets served over HTTP.
Data lakes and analytics where tools read blobs in place.
Cloud-native and web apps that store uploads via an API.
Anything that needs to scale without capacity planning.

The practical rule

If your application expects to open and edit files on a mounted filesystem, use file storage. If your data is written once and read (or served) many times — and especially if it needs to scale big and cheap — use object storage. Many architectures use both: a filesystem for the working set, object storage for everything durable and large.

For the object-storage side, an S3-compatible provider gives you the API every modern tool speaks. Internetport's object storage is S3-compatible, GDPR-compliant and egress-free, with a free 10 GB tier to test your workload. If you're weighing the third option, see our note on block vs object storage, or the full object storage use cases.