Comparing block storage vs object storage: what’s the difference?

Effective cloud storage solutions enable businesses to store and retrieve massive amounts of data quickly and reliably. This is particularly important in industries such as finance, healthcare, and e-commerce, where large volumes of data need to be processed and analyzed in real-time. Data storage also supports data backup and disaster recovery strategies, ensuring business continuity and minimizing potential disruptions.

With the right cloud storage infrastructure in place, organizations can gain valuable insights, make informed decisions, and improve operational efficiency. Two widely used options are block storage and object storage. While they may serve the same overarching purpose—the retention and accessibility of data——they have distinct characteristics that set them apart.

In this article, we’ll explore the intricacies of block and object storage, highlight key differences between the two, and explain how DigitalOcean’s Volumes Block Storage and Spaces Object Storage can serve your cloud storage needs.

What is block storage?

Block storage is a data storage architecture that stores data in fixed-size blocks or ‘chunks.’ Each block has a unique identifier, allowing it to be stored and accessed independently. This type of storage is commonly used in traditional storage-area network (SAN) environments and is well-suited for applications like databases and virtual machines that require fast, random access to data.

In block storage systems, the storage volume acts like a hard drive and is configured by a storage administrator. These blocks can be controlled as individual hard drives, and they are accessed by servers over a high-speed network. This allows for high performance and low latency, as the server can directly read or write to a specific block, avoiding the need for a file system to manage the data.

Pros and cons of block storage

Block storage has distinct advantages and disadvantages. Understanding these will help your organization make informed decisions when choosing a storage solution.

Pros of block storage

  • High performance. Offers fast read and write operations, well-suited for high-speed transactions.
  • Low latency. Enables quick access to data, beneficial for real-time applications.
  • File system compatibility. Integrates easily with existing file systems, simplifying deployment.
  • Versatility. Ideal for use cases requiring random and fast access like databases and virtual machines.

Cons of block storage

  • Management overhead. Requires additional layers for data organization due to its dependence on a file system.
  • Cost. Tends to be more expensive than object storage, especially for large data sets.
  • Lacks metadata and intelligence. Does not have the built-in metadata and search capabilities that object storage offers.

When to use block storage

Block storage is a versatile tool in your data storage arsenal, but its specific benefits shine in certain scenarios. Recognizing these can help you deploy block storage effectively for optimal performance.

Here are some instances where block storage makes sense:

  • High-performance computing. Where fast data read/write operations are critical.
  • Database systems. Ideal for SQL and NoSQL databases requiring random access to data blocks.
  • Virtual machines. Provides the fast, random access needed for efficient VM operation.
  • Real-time applications. Where low latency is required for real-time data processing.
  • Transactional workloads. In financial or e-commerce settings where latency can impact transactions.

What is object storage?

Object storage is a data storage architecture that manages data as objects, as opposed to the block or file storage methods. Each object includes the data itself, metadata, and a unique identifier. Object storage is particularly useful for storing large amounts of unstructured data, such as videos, photos, and documents, and is commonly used in cloud storage environments.

In object storage systems, data is broken down into discrete units called objects. These objects are stored in a flat structure, known as a storage pool, rather than in a hierarchical file system. This flat architecture allows for great scalability as you can add more objects indefinitely without the limitations of a hierarchical structure. The unique identifier enables quick retrieval of data, although not as quickly as block storage for certain use-cases requiring low latency.

Pros and cons of object storage

Object storage presents unique features that set it apart from other storage architectures like block storage. Appreciating its advantages and recognizing its limitations can help you make a more informed decision about which storage solution to adopt.

Pros of object storage

  • Excellent scalability. Allows for seamless addition of new storage nodes, making it highly scalable.
  • Handles large data volumes. Especially well-suited for storing massive amounts of unstructured data.
  • Cloud-friendly. Optimal for big data and cloud-based applications due to its scalable design.

Cons of object storage

  • Lower performance for specific use-cases. Not ideal for applications requiring low-latency, random access to data.
  • Complexity in traditional environments. May not be easily integrated into existing infrastructures that are not cloud-based.
  • Metadata management. While metadata is a strength, it can become a management challenge as data scales.

When to use object storage

Object storage is a strong contender for certain types of data storage needs, offering particular advantages for specific scenarios. Knowing when to use object storage can maximize its benefits and better align with your organizational goals.

Here are some instances where object storage makes sense:

  • Big data analytics. Ideal for storing and analyzing large volumes of unstructured data.
  • Cloud-native applications. Object storage is designed to scale easily, making it a good fit for cloud-based services.
  • Media storage. Well-suited for storing large files like videos, images, and audio clips.
  • Archival storage. Its scalable nature makes it a good fit for long-term storage solutions.
  • Content distribution. The metadata and unique identifiers allow for efficient distribution and retrieval of data.

Key differences: Block storage vs object storage

Understanding the fundamental differences between block storage and object storage is crucial for choosing the right storage solution. These two storage architectures excel in different aspects, including performance, scalability, data organization, and cost. This section breaks down the key distinctions between them.


Block storage offers high performance with low latency, making it well-suited for applications requiring rapid access to data blocks, such as databases and high-performance computing tasks.

While object storage is generally slower than block storage for certain tasks, it is highly optimized for data retrieval in specific use-cases like content delivery networks and big data analytics.


Scalability can be more challenging with block storage, as increasing capacity often involves manual configuration. The architecture may also present limitations in terms of the maximum volume size and number of blocks that can be managed.

Object storage is designed for seamless scalability. Adding more storage nodes is straightforward, and the flat data structure allows for virtually limitless expansion.

Data organization

In block storage, data is segmented into fixed-size blocks, each with a unique identifier. While this enables fast, random access, it also means that metadata and data organization is typically handled externally by a file system.

Each object in object storage includes the data, metadata, and a unique identifier, allowing for richer data management capabilities. This inherent intelligence makes object storage better suited for unstructured data.


While block storage offers performance benefits, it typically comes at a higher cost, especially for large data sets. Additional costs may also be incurred due to management overhead and the need for specialized hardware or software.

Object storage is generally more cost-effective, particularly for large-scale, unstructured data. Its design minimizes the need for manual management, reducing operational costs.

DigitalOcean’s block storage and object storage solutions

DigitalOcean offers easy to use block and object storage services to complement your cloud servers.

Volumes Block Storage

DigitalOcean offers a high-performance, business-ready block storage solution known as Volumes Block Storage.

Designed with NVMe technology, this product surpasses traditional HDD and SSD storage in terms of speed and offers low-latency read and write capabilities. It is encrypted at rest and during replication, ensuring high data security. Your data is also transmitted to Droplets over isolated networks, adding an extra layer of security and reliability.

Use cases

  • Augmenting Droplet storage. Increase storage without opting for a more expensive Droplet.
  • Machine learning and big data. Store data for training AI/ML models and saving the output.
  • Distributed web applications. Ideal for blockchain and NFT-related applications requiring high-performance storage.
  • File storage. Save website files, log files, and backups for quick access.
  • Database hosting. Suitable for hosting databases in high-traffic applications.
  • Backup and duplication. Create disk backups of your Volumes and share across multiple Droplets.


DigitalOcean’s Volumes Block Storage follows a predictable pricing model. The rates are as follows:

  • 100 GiB: $0.015 per hour or $10.00 per month
  • 500 GiB: $0.075 per hour or $50.00 per month
  • 1,000 GiB: $0.150 per hour or $100.00 per month

With transparent monthly caps and flat pricing across all data centers, users can manage their storage needs without any unexpected costs.

Spaces Object Storage

DigitalOcean’s Spaces Object Storage is a highly scalable and cost-effective S3-compatible object storage solution, equipped with a built-in Content Delivery Network (CDN). Designed for high performance and reliability, Spaces Object Storage provides data transfer encryption through HTTPS. It also allows customization of file access, offering both public and private access options.

Use Cases

  • Static assets and unstructured data. Ideal for hosting and delivering static web assets like images, JavaScript files, CSS files, videos, and large datasets.
  • Video streaming. The built-in CDN minimizes buffering and stream crashes, providing a smooth video streaming experience.
  • Software delivery and file sharing. Enables fast and reliable downloads of software libraries and containers, irrespective of their size.
  • Backup and log storage. Offers scalable storage solutions for backup files and logs.


  • Starting Package: $5 per month for 250 GiB of storage and 1 TiB of outbound transfer.
  • Additional Storage: $0.02/GiB
  • Additional Transfer: $0.01/GiB

Spaces Object Storage also integrates with various third-party tools, such as Cyberduck, Rclone, and FileZilla, allowing users to easily manage and sync their storage needs. With a transparent pricing model and scalability options, it offers a reliable and budget-friendly storage solution for diverse business needs.

Build your business on the DigitalOcean cloud

Both DigitalOcean’s Volumes Block Storage and Spaces Object Storage can be used in tandem to address a variety of storage needs. Their complementary features and capabilities offer a holistic approach, providing the foundation for building a robust and scalable storage infrastructure

Whether you need mountable file systems for your applications or highly durable object storage repositories, DigitalOcean provides user-friendly cloud services to meet your requirements.

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