Why S3 is called a Object storage

Question

We upload files in s3. But we don't call s3 as File storage?

Does File storage and Object storage are different?

Comments

what is even the difference between Object storage and File storage?

Answer 1

Amazon S3 stores data as objects within resources called "buckets".  Object storage, also called object-based storage, is an approach to addressing and manipulating data storage as discrete units, called objects. Objects are kept inside a single repository, and are not nested as files inside a folder inside other folders.
Object storage keeps the blocks of data that make up a file together and adds all of its associated metadata to that file. But object storage also adds extended metadata to the file and eliminates the hierarchical structure used in file storage, placing everything into a flat address space, called a storage pool In AWS it is called S3 bucket.

Coming to the second part of your question:-

Object storage is a perfect solution for huge amounts of data
object storage overcomes many of the limitations that file storage faces. Think of file storage as a warehouse. When you first put a box of files in there, it seems like you have plenty of space. But as your data needs grow, you’ll fill up the warehouse to capacity before you know it. Object storage, on the other hand, is like the warehouse, except with no roof.

Answer 2

Traditional file storage and object storage are different.

While in file storage you use a directory hierarchy to store and organize your files, whereas in object storage files are stored in a flat organization of containers(which we call ‘Buckets’ in S3). We use unique ID’s to retrieve them. The upshot is that object storage systems require less metadata than file systems to store and access files, and they reduce the overhead of managing file metadata by storing the metadata with the object.

Compared to a traditional file system, the disadvantage of object storage is that data consistency is achieved only eventually. Whenever you update a file, you may have to wait until the change is propagated to all of the replicas before requests will return the latest version. This makes object storage unsuitable for data that changes frequently. But it's a great fit for all the data that doesn't change much, like backups, archives, video and audio files, and virtual machine images.