When it comes to storing large volumes of unstructured data such as images, documents, and videos, there are three commonly used storage solutions:
File Storage
Object Storage
Block Storage
Each of these storage types has its own architecture, performance characteristics, benefits, trade-offs, and ideal use cases.
But how do you determine which one is the right fit for your needs?
In this article, we’ll break down each of these storage options. You’ll learn how they work, what types of workloads they are best suited for, the advantages and limitations of each, and how to choose the right one for different real-world scenarios.
File storage is the most traditional and widely used storage paradigm.
It mirrors the way data is organized on a personal computer: data is stored in files, files are grouped into folders, and folders are arranged in a hierarchical directory structure.
This layout is intuitive and familiar, which makes file storage easy to manage for both users and applications.
Each file comes with associated metadata, such as:
File name
Size
Permissions (read, write, execute)
Timestamps (created, modified, accessed)
Optional user-defined tags
Files are typically accessed via network protocols like:
NFS (Network File System) – commonly used in Unix/Linux environments
SMB (Server Message Block) – commonly used in Windows environments
/
├── users/
│ ├── alice/
│ │ ├── resume.docx
│ │ └── photo.jpg
│ └── bob/
│ └── project.pdf
└── shared/
├── design/
│ └── logo.png
└── docs/
└── report.xlsxEach user or team has their own folder
Files are referenced by absolute paths (e.g.,
/users/alice/photo.jpg)Permissions can be applied at the file or folder level
Behind the scenes, file storage is powered by a centralized or distributed file server.
Here's a step-by-step breakdown of how it works:
Client Mounts the File System
Clients connect to the storage system using NFS or SMB.
The remote file system appears just like a local drive.
Uniform Directory View
Every client sees the same shared directory structure.
Changes made by one client are visible to all others in real time.
File Access via Paths
Files are accessed using fully qualified paths, e.g.,
/team/design/logo.png.
Concurrency with Locking
File-level locking is used to manage concurrent access.
This prevents conflicts when multiple users try to read or write the same file.
On-premise: NAS (Network Attached Storage) systems
Cloud-based: AWS EFS (Elastic File System), Azure Files, Google Filestore
The hierarchical structure of folders and files is intuitive and easy to navigate. Most users are already familiar with this model from their personal computers, reducing the learning curve.
File storage is excellent for environments where multiple users need to access and collaborate on the same set of files. It works well over local area networks (LANs), enabling centralized access and control.
This model supports a wide range of use cases from storing personal documents to powering shared drives and internal tools within large organizations.
As the number of files and folders increases, especially in deeply nested directory trees, performance can degrade. File lookups become slower, and managing permissions or structure gets more complex.
File systems typically support only limited metadata: filename, file size, timestamps, and basic permissions. Unlike object storage, there's little support for custom or application-specific metadata.
Protocols like NFS and SMB introduce additional overhead, especially over wide area networks (WANs). This can lead to latency and reduced throughput when accessed remotely.
File storage is well-suited for scenarios where:
A familiar file/folder structure is needed
Multiple users or applications need to share access to the same files
Fine-grained file-level access control is required
Shared drives for enterprise teams to collaborate on documents, spreadsheets, and media assets
Source code repositories and build artifacts in software development environments
Content Management Systems (CMS) that organize files in structured directories
Centralized log file aggregation for analysis and monitoring
