Object Storage vs Block Storage vs File Storage: Pros/Cons & Uses


Key Takeaways: Object Storage vs Block Storage vs File Storage
  • Object storage stores unstructured data — such as images, videos and PDFs — as objects, which are individual units with attached metadata (identification and attributes). Objects are organized into containers called buckets.
  • Block storage splits data into smaller units called “blocks” and stores them with limited metadata for fast and efficient access.
  • File storage stores data in file systems, which are hierarchical structures that allow shared data access.

Facts & Expert Analysis: Data Storage Architecture Types

  • Common file storage: Many popular cloud storage services, like Dropbox, Google Drive and iCloud, are file storage delivered as Software as a Service (SaaS). They use a filesystem, storing data in folders within a hierarchical structure.
  • Network-attached storage: Network-attached storage (NAS) is one of the most used types of file storage for industries adopting hybrid cloud. It is expected to have a market growth of over 500%, expanding from around $22 billion in 2023 to more than $138 billion in 2033.1
  • Choosing data storage architecture: When selecting data storage for your workloads, pay attention to data volume, access frequency, costs, performance requirements and shared accessibility.

In this comparative analysis, we look at object storage vs file storage vs block storage, the three main organizational patterns for storing cloud data. Each one offers a unique type of storage structure and accessibility, which affects their use cases, especially as it relates to cloud computing.

The biggest difference between these storage systems is that object storage is unstructured (has no data organization model) and relies on metadata for identification and management, while file storage and block storage have more structure to their storage patterns. Keep reading to learn more about object, block and file storage.

Differences Between Object Storage vs Block Storage vs File Storage

object storage vs block storage vs file storage

Block storage is more efficient than object and file storage,
but object storage is the most scalable.

Below is a summary of the key differences between object storage, block storage and file storage:

Feature: Object-Based Storage Block-Based Storage File-Based Storage
Storage Architecture Stores data as objects with metadata in a flat namespace Divides data into equal-sized blocks and stores them with minimal metadata Stores data as files in a hierarchical structure for intuitive access
Storage Capacity Typically unlimited Capacity determined by provider, but usually up to terabytes Maximum capacity varies by provider but usually up to terabytes
Performance Ideal for storing large data and media files High throughput, high efficiency and low latency Optimized for organized, shared data access
Metadata Management Unlimited and customizable metadata Limited metadata for efficient transfer Various file-related metadata, such as file type, modification dates and size
Scalability Highly scalable Limited scalability Limited scalability
Cost Cost-effective for large volumes of data Typically more expensive than object storage Can get expensive with increasing storage size

What Is Object Storage in Cloud Computing?

object storage in cloud computing

Object storage hashes object IDs to ensure objects with
the same content have the same ID.

Object storage in cloud computing stores unstructured data in its original format as an object, which consists of the data and its metadata. It stores these objects in containers called buckets, which can scale in size. 


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Object storage uses a flat namespace, so all the objects in a bucket exist at the same level. However, for easy access, handling and identification, data are stored with their metadata, ID and attributes.

Cloud object storage systems are ideal when trying to store large volumes of data — such as for media or big data analytics — at relatively low prices. You can use them for large files, unstructured data, backups, archives and more.

Blob Storage vs Object Storage

Blob storage is a type of object storage. “Blob” stands for “binary large object” and refers to large chunks of binary data — data that is not text – such as audio files, images and video files.

Whereas object storage stores data, including blobs, in its original upload format along with metadata, blob storage is a type of object storage that stores binary large objects. In other words, blob storage is object storage, but not all object storage is blob storage.

What Is Block Storage in Cloud Computing?

block storage in cloud computing

Blocks in block storage can be accessed individually, enhancing efficiency.

Block storage in cloud computing splits and stores data into equal-sized blocks. Each block gets limited metadata, which typically includes only the block’s unique identifier — the piece of data needed to access the block.

The upside of block storage having limited metadata is enhanced data transfer efficiency and speed. That aside, block storage allows direct access to each data block, so you don’t necessarily have to access all of the data when performing read-and-write operations. In other words, you can access only part of the data, which ensures fast operations.

Block storage systems are raw storage forms that are ideal for low-latency input/output (I/O) operations. They are used for real-time analytics, operating system installations and general high-performance computing.

What Is File Storage in Cloud Computing?

file storage in cloud computing

File storage design has a flow that is easy for people to navigate.

File storage in cloud computing stores data as files in a hierarchical namespace called a filesystem. It follows pretty much the same pattern as a physical filing system where files are placed in folders, the folders are stored on shelves and the shelves are housed in a room.

File storage systems store files with metadata such as file type, size and modification date, but compared to object storage, the metadata is limited. File storage is designed for shared file access, as its structure follows a pattern that allows for instinctive human access. You can readily go down the hierarchical path of a filesystem to locate files.

Use Cases for Block Storage vs Object Storage vs File Storage

Understanding the use cases for block storage, object storage and file storage is crucial for optimal data management. Let’s explore these use cases below:

Object Storage Use Cases

  • Media storage: Media files such as videos and images can be massive in size, requiring large amounts of storage space. With the relatively low rates of an object storage system, storing media via object storage is typically cost-effective.
  • Backup: Cloud object storage is typically redundant — it’s stored across many devices in different zones and regions. As such, it is resistant to system failures and the risk of permanent data loss, making it ideal for critical data backup.
  • Big data analytics: Object storage can store large volumes of unstructured data in its natural format, making it great for building data lakes, which can serve as data sources for big-data analytics. 

Block Storage Use Cases

  • Virtual machines: After being formatted into a virtual machine filesystem, the computing resources needed to power virtual machines — like operating systems and swap space — are installed on block storage.
  • Databases: Since block storage is optimized for efficient and rapid data transfer, it is ideal for various types of databases, particularly those that require high I/O performance such as relational databases.
  • High-performance computing: High-performance computing involves using computer clusters or supercomputers to achieve enhanced data-processing speeds for advanced computation. Block storage is great for this purpose due to its low latency and high throughput, especially when random data access is required.

File Storage Use Cases

  • Hybrid access management: When setting up a hybrid cloud environment, you can readily integrate on-premises filesystems with cloud file storage that has the same filesystem.
  • Container storage: File storage is used in containers, where shared data access is enabled across containers within a cluster.
  • Database backups: A file storage solution’s filesystem can readily attach to databases and create copies for backups.

Pros & Cons of Block vs File vs Object Storage

Block-based storage

Pros:

  • Efficient
  • Bootable
  • High-performance
  • Low-latency operations
  • Incremental modification

Cons:

  • Limited metadata
  • Relatively more expensive than object & file storage

Object-based storage

Pros:

  • Highly scalable
  • Great for large files
  • Great for Media files
  • Has custom metadata
  • No metadata limitations
  • Long-term data storage & archiving

Cons:

  • Not ideal for structured data
  • Requires extra resources for data organization

File-based storage

Pros:

  • Easy to use
  • Promotes collaboration
  • File-level access control
  • Ideal for shared file access

Cons:

  • Data access is less user-friendly with large data volumes
  • Additional costs for storage scaling

Final Thoughts

Object storage is your best bet when you want to store data in large volumes without burning through your wallet. However, you should choose file storage when you need shared data access and block storage when you need efficient and fast I/O operations.

In your opinion, which of these three storage types suits the most use cases? Which of them do you have the most experience with? Share your opinion about cloud storage with us below, and once again, thanks for reading.

FAQ: Objects, Blocks and Files

  • The difference between block, file and object storage is that block storage splits data and stores it in equal-sized blocks, file storage organizes and stores data in a hierarchical filesystem, and object storage stores data in its original form in an expandable storage unit.

  • Block storage stores data divided into blocks of equal size, while blob storage (another type of object storage) stores data — like image, video or audio files — in its original format along with its metadata in a flat namespace.

  • Amazon S3 is an object storage service; it stores data as objects in containers called buckets.

Sources

  1. Yahoo Finance – Network Attached Storage Market Size


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