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Block, Object, and File Storage in System Design (Azure)

April 21, 2025

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Ethan

Dev

Storage is a critical component of any system design, especially when building applications in the cloud. Microsoft Azure offers multiple types of storage services, but the three primary ones are Block Storage, Object Storage, and File Storage. Each of these storage types is designed for specific use cases and plays a unique role in system performance, scalability, and data organization.

In this post, we’ll dive into what each storage type offers in the context of Azure cloud architecture, their key features, and when to use which based on your system’s needs.

1. Block Storage in System Design (Azure)

Block storage stores data in fixed-size chunks called blocks. Each block acts as an individual piece of data with a unique identifier and can be written or read independently. This makes block storage ideal for high-performance workloads like databases and virtual machines.

Azure Implementation:

In Azure, block storage is delivered through Azure Managed Disks, which are persistent, high-availability block-level storage volumes used with Azure Virtual Machines.

Key Features:

  • High Performance: Optimized for IOPS and low-latency access, ideal for transactional systems.

  • Deterministic Access: Works well with structured, fixed-size data models like relational databases.

  • Independent Blocks: Blocks can be updated separately, making them suitable for parallel processing.

  • Durability & Backup: Supports snapshots and backups for disaster recovery.

Use Case Example:

Running a production-grade SQL Server or MongoDB database in Azure requires high-speed storage for efficient query handling. Azure Premium SSDs are ideal for such scenarios, offering up to thousands of IOPS per disk.

2. Object Storage in System Design (Azure)

Object storage is designed for managing unstructured data—videos, images, logs, backups, etc. Instead of breaking data into blocks, it stores each file as an “object” with metadata and a unique ID, enabling rich data management and global access.

Azure Implementation:

Azure provides Blob Storage (Binary Large Objects) for object storage. It supports various access tiers—Hot, Cool, and Archive—to manage costs depending on how frequently data is accessed.

Key Features:

  • Massive Scalability: Handles petabytes of data with ease.

  • Metadata Richness: Store custom metadata for better indexing and management.

  • HTTP/HTTPS Access: Perfect for web apps and REST API-based integrations.

  • Built-In Redundancy: Data is replicated across multiple regions for durability.

  • Lifecycle Policies: Automatically move data between tiers based on usage.

Use Case Example:

A video streaming app like YouTube that stores thousands of user-uploaded videos daily would benefit from Azure Blob Storage. Each video object is stored with metadata such as title, creator ID, and timestamp, enabling fast retrieval and content management.

3. File Storage in System Design (Azure)

File storage mimics the structure of traditional file systems with directories, subfolders, and named files. It is perfect for shared access, making it suitable for legacy applications or multi-user environments.

Azure Implementation:

Azure provides Azure Files, a fully managed file share that supports SMB (Server Message Block) and NFS (Network File System) protocols. These file shares can be mounted simultaneously by cloud and on-prem machines.

Key Features:

  • Hierarchical Structure: Organize data via folders and paths, like on a local drive.

  • Shared Access: Enable multiple VMs to read and write simultaneously.

  • Easy Migration: Lift and shift existing apps to the cloud without rearchitecting.

  • Access Controls: Supports Azure AD and NTFS permissions for granular security.

  • Snapshots & Backups: Take point-in-time backups for versioning and recovery.

Use Case Example:

An enterprise team working on shared design documents can use Azure Files to mount a common file share accessible from both Windows and Linux VMs, ensuring collaboration and central data access.

4. Block vs. Object vs. File Storage in System Design (Azure)

Feature Block Storage (Azure Disks) Object Storage (Azure Blob Storage) File Storage (Azure Files)
Structure Data split into fixed-size blocks Data stored as discrete objects Data organized in folders/files
Performance High-speed, low-latency Good for high-volume, not real-time Moderate; dependent on file system
Use Case Databases, VM disks, transaction-heavy apps Media storage, backups, logs, analytics Shared files, lift-and-shift, collaboration
Scalability Scales with disks/VMs Extremely scalable Limited compared to blob
Access Method VM-level access HTTP/HTTPS SMB/NFS mount
Metadata Support Minimal Extensive Basic
Redundancy Zone-redundant or locally redundant Geo-redundant and zone-redundant Locally and zone-redundant
Examples Azure Managed Disks, Premium SSD Azure Blob Storage (Hot/Cool/Archive) Azure Files with SMB/NFS

Conclusion

Choosing the right storage type in Azure depends on your system’s design requirements:

  • Use Block Storage for high-performance, I/O-intensive applications like VMs and databases.

  • Use Object Storage when you need to store and manage massive amounts of unstructured data with metadata—ideal for backups, media files, and data lakes.

  • Use File Storage for applications needing a shared file system and compatibility with legacy tools.

A thoughtful choice between block, object, and file storage ensures better system performance, cost efficiency, and scalability in Azure cloud environments.

Written by Ethan

Cloud Solutions Architect. Full Stack Web Developer. Cloud Enthusiast. Gym rat. I'm a driven, detail oriented, Cloud Solution Architect based in Pittsburgh, PA. Experienced in both networking and software development cycles where I enjoy designing scalable, flexible and cost effective solutions with a focus on end user experience and business objectives. When I'm not working or at the gym I enjoy continuous learning, experimenting with new technologies and sharing what I learned to the communities.

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