What is Object Storage? A Complete Beginner’s Guide

What is Object Storage?

Object storage is a data storage architecture designed to handle massive volumes of unstructured data. Compared with SSV (Shared Storage Volumes), object storage supports multi-read and multi-write operations, allowing multiple clients to access or update the same object concurrently.

However, object storage can be slower for certain real-time workloads. This is because object storage is often eventually consistent and prioritises scalability and availability by replicating data across nodes. This means a read may temporarily return an older version before updates propagate. It’s ideal for static data like photos or videos but not for systems needing immediate consistency.

How Does Object Storage Work?

Object storage works by storing data as self-contained units called objects inside a flat storage pool. Object storage treats each file as a complete object bundled with everything needed to identify, manage and retrieve it.

Each object consists of three key elements:

• Data: The actual file you’re saving, such as a video, image, document or CSV dataset.
• Metadata: Information about the file, including size, format, creation date or even custom tags you define (e.g., “Project: Marketing Campaign” or “Region: Europe”).

• Unique Identifier: A digital ID that ensures the object can be retrieved instantly, without going through complex folder hierarchies.

All objects are stored in Buckets, which act as containers that can hold an unlimited number of objects. To control access and integrate with applications, you use Access Keys, which are credentials made up of an Access Key ID and a Secret Access Key. These keys authenticate your requests when uploading, retrieving or managing data through APIs or SDKs.

Why Choose Object Storage?

When you’re handling data, it is not just about where you put it. It is more about how easily you can get it back, how safe it is and how much it costs. Here’s how object storage can benefit you:

• Scalability: You can easily scale out the flat architecture of object storage without hitting the same limits as file or block storage. 
• Multi-read/Multi-write Capability: Object storage supports concurrent access from multiple clients, unlike single-volume storage, which can be a bottleneck
• Reduced complexity: You can skip dealing with folders or directories, since object storage removes the complexity of hierarchical systems. You don’t need to know the exact file path; retrieving data becomes much simpler.
• Searchability: You can quickly search and navigate your data because metadata is built into every object. You can also tag objects with attributes like cost, usage or retention rules to keep everything organised and easy to manage.
• Resiliency: You can protect your data by automatically replicating it across multiple devices and even geographic regions. This way, you’re safeguarded against outages, data loss and can strengthen your disaster recovery plan.

When to Choose Object Storage?

Check out the ideal use cases of Object Storage:

• Media Delivery: You can deliver videos, images and other rich media content globally with high availability and durability, making it ideal for content-heavy platforms.
• Long-Term Archives: You can store large volumes of data for months or years without incurring high costs, making them ideal for compliance requirements or historical records.
• Backups and Disaster Recovery: You can use object storage to keep reliable backups that are automatically replicated, ensuring your data is safe and accessible during outages or system failures.
• AI/ML Datasets: You can manage massive datasets used for training and fine-tuning AI or machine learning models, with fast access and scalability to handle growth. Machine learning workloads greatly benefit from object storage due to its ability to handle vast amounts of data at lower costs. A production model often trains on millions or even billions of data points, while generating inferences in just milliseconds.

Object Storage vs. File Storage vs. Block Storage

Traditional file and block storage are still widely used but can struggle with unstructured data at scale. Object storage was built to fill that gap. Here’s how they compare:

File Storage

File storage organises data into folders and directories, similar to a filing cabinet. It’s simple, easy to use and good for small-scale data or collaborative access but it becomes slow and complex as datasets grow.

Block Storage

Block storage splits files into chunks (blocks) that can be stored and retrieved quickly. It’s ideal for workloads requiring fast data access and retention across reboots, including AI training and data science.

Object Storage

Object storage stores data as self-contained objects with metadata and unique IDs in a flat environment. It’s highly scalable, resilient and cost-efficient, making it perfect for backups, archives and unstructured datasets at scale. 

Hyperstack Object Storage 

Hyperstack Object Storage is fully S3-compatible,  giving you a smarter way to store and scale unstructured data. Built for AI/ML datasets, logs, backups and media, our Object Storage is secure, cost-efficient and designed to scale effortlessly. 

Why Use Hyperstack Object Storage 

Here's why you should use Hyperstack Object Storage:

• Smarter Cost Control: Designed for high-volume usage, Hyperstack Object Storage uses a pay-as-you-go model, letting you use high-volume storage while keeping costs predictable.
• Fully S3 Compatible: Connect instantly with existing tools and SDKs such as S3cmd, Boto3 Python SDK, MinIO. Client (mc) and more.
• Optimised for Unstructured Data: Store and manage unstructured data like logs, datasets and media at scale with Hyperstack Object Storage designed to handle massive workloads.
• Efficient Metadata Handling: Add custom metadata to every object, making it easier to search, categorise and retrieve exactly what you need, when you need it.
• Multipart Upload Support: Hyperstack Object Storage supports multipart uploads, enabling faster and more reliable transfers for large files through parallel uploads and automatic retry handling.

 Hyperstack Object Storage is available exclusively in the CANADA-1 region.

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FAQs

What is Object Storage?

Object storage is a data storage architecture that stores files as self-contained objects, each with metadata and a unique identifier, designed to handle large volumes of unstructured data.

Why is Object Storage Important?

Object storage provides organisations with a scalable, cost-efficient and reliable way to store and access massive amounts of data, supporting analytics, AI/ML workloads, backups and media delivery.

What are the benefits of Object Storage?

Object storage offers massive scalability, reduced complexity, fast searchability, data resiliency and cost efficiency, making it ideal for managing large and growing datasets.

What are the ideal use cases of Object Storage?

Object storage is best suited for media delivery, long-term archives, backups and disaster recovery and AI/ML datasets.

How Does Object Storage work?

Data is stored as objects within buckets, with each object containing the file, metadata and a unique identifier. Access keys authenticate and manage programmatic access.

What is a bucket in object storage?

A bucket is a top-level container in object storage that can store unlimited objects and allows configuration of access, region, and lifecycle rules.

What is an access key in object storage?

An access key is a set of credentials (Access Key ID and Secret Access Key) used to authenticate programmatic access to objects and buckets securely.