What is Object Storage?
A complete guide to understanding object storage, how it works, and why it has become the standard for storing unstructured data in the cloud.
Object Storage Explained
Object storage is a data storage architecture that manages data as discrete units called objects. Each object bundles the data itself, a rich set of custom metadata, and a globally unique identifier. Unlike traditional file systems that organize data into folders and hierarchies, or block storage that splits data into fixed-size chunks on a disk, object storage keeps everything in a single flat address space. This flat structure makes it possible to scale to petabytes and beyond without the performance bottlenecks that plague hierarchical file systems.
When you save a file to an object storage system, the platform assigns it a unique identifier and stores it alongside its metadata in a storage pool called a bucket. The metadata can include anything from content type and access permissions to custom tags that describe the data for search and governance purposes. You retrieve objects using simple HTTP-based APIs, most commonly the S3 API, which has become the de facto standard for cloud object storage.
The key difference between object storage, file storage, and block storage comes down to how data is organized and accessed. File storage uses a directory tree and is best suited for shared drives and document collaboration. Block storage carves data into fixed blocks and is optimized for high-performance applications like databases. Object storage treats every piece of data as a self-contained object. This makes it the ideal choice for large volumes of unstructured data such as backups, media files, log archives, and application assets.
How Does Object Storage Work?
Object storage follows a straightforward process for storing and retrieving data at any scale.
Upload your data
You send a file to an object storage service via an HTTP API call, typically using the S3 protocol. The system places the object in a bucket, which acts as a top-level container for organizing your data.
Metadata is attached
The system assigns a unique identifier to each object and attaches metadata. This includes system metadata like creation date and size, plus custom metadata you define, such as project tags, content categories, or retention policies.
Retrieve on demand
To access your data, you request it by its unique key or use metadata queries to find the objects you need. The flat namespace means retrieval performance stays consistent whether you have 100 objects or 100 billion.
Scale without limits
Object storage is designed to scale horizontally. As your data grows, the system distributes objects across multiple nodes and data centers. There is no need to provision volumes or manage disk arrays. You simply store more data and the platform handles the rest.
Object Storage vs File Storage vs Block Storage
Each storage type is designed for different workloads. Here is how they compare across the factors that matter most.
| Feature | Object Storage | File Storage | Block Storage |
|---|---|---|---|
| Data structure | Flat namespace with unique keys | Hierarchical directory tree | Fixed-size blocks on a volume |
| Scalability | Virtually unlimited, scales to exabytes | Limited by filesystem constraints | Requires volume expansion or provisioning |
| Performance | High throughput for large files, higher latency for small random reads | Good for shared access, moderate throughput | Lowest latency, highest IOPS for random access |
| Best use cases | Backups, media, archives, data lakes, web assets | Shared drives, home directories, CMS | Databases, virtual machines, transactional workloads |
| Cost efficiency | Lowest cost per TB at scale | Moderate, higher at large scale | Highest cost per TB |
| Metadata | Rich, customizable metadata per object | Basic file attributes only | No inherent metadata support |
Lazentis vs. Big Tech Cloud
See how Lazentis Object Storage compares to AWS S3, Google Cloud Storage and Azure Blob Storage.
| Feature | Lazentis | AWS S3 | Google Cloud | Azure Blob |
|---|---|---|---|---|
| Storage price per TB/month | From €5/TB | ~$23/TB | ~$20/TB | ~$21/TB |
| Egress fees | Free | $0.09/GB | $0.12/GB | $0.08/GB |
| Data residency | 100% EU-owned, EU data stays in the EU | US-based, EU regions available | US-based, EU regions available | US-based, EU regions available |
| Privacy & compliance | GDPR-native, no US CLOUD Act | Subject to US CLOUD Act | Subject to US CLOUD Act | Subject to US CLOUD Act |
| S3 compatible | Fully compatible | Native standard | Interoperability API | Not compatible |
| Support | Personal, no extra cost | Paid support plans | Paid support plans | Paid support plans |
| Minimum cost | No minimum | No minimum, complex pricing | No minimum, complex pricing | No minimum, complex pricing |
| Vendor lock-in | None, standard S3 API | High, proprietary ecosystem | High, proprietary ecosystem | High, proprietary ecosystem |
Cloud Object Storage Use Cases
Object storage is the backbone of modern cloud infrastructure. Here are the most common ways organizations use it.
Backup and disaster recovery
Object storage provides a durable and cost-effective destination for backups. Built-in redundancy across multiple nodes ensures your data survives hardware failures. Versioning support lets you restore previous versions of any file, making it an ideal target for automated backup strategies.
Media storage and streaming
Store images, video, audio, and other media assets at any scale. Object storage handles large files efficiently and integrates with CDNs to deliver content to users worldwide with low latency. It is the standard choice for video platforms, image galleries, and podcast hosting.
Long-term archiving
Regulatory compliance, legal holds, and historical data retention all demand storage that lasts. Object storage delivers extremely low cost per terabyte for data that must be kept for years or decades. Custom metadata makes it easy to classify and retrieve archived records when needed.
Web and mobile application assets
Serve static assets like images, JavaScript bundles, CSS files, and user-uploaded content directly from object storage. The S3 API integrates with virtually every web framework and mobile SDK, so your applications can read and write objects with just a few lines of code.
Data lakes and analytics
Object storage is the foundation of modern data lakes. Store raw data in any format, from CSV and JSON to Parquet and Avro, and query it directly with analytics tools. The flat namespace and metadata tagging make it straightforward to organize and govern massive datasets.
Content distribution
Use object storage as the origin for a content delivery network. Store your assets in a central bucket and let edge servers cache and distribute them globally. This architecture reduces load on your application servers while delivering fast page loads to every user.
S3
S3 API Compatibility: The Open Standard for Object Storage
Lazentis Object Storage supports the S3 API, so tools like the AWS CLI, s3cmd, rclone, Cyberduck, and any S3 SDK work out of the box. Just update your endpoint URL and credentials.
Moving from AWS S3, Google Cloud Storage, or any other provider takes minutes, not months. Use rclone or the AWS CLI to sync your buckets to Lazentis. No data transformation, no code changes, no downtime required.
From Terraform and Kubernetes to WordPress and Next.js, the tools your team already uses support S3-compatible storage. Lazentis fits into your existing infrastructure without forcing you to adopt new SDKs or workflows.
Why Choose Lazentis for Object Storage?
100% European infrastructure
Your data is stored in EU data centers, managed by a European company, and subject exclusively to European law. Lazentis is not owned by or dependent on any US entity, which means your data is never subject to foreign government access requests under laws like the US CLOUD Act. Full GDPR compliance is built in from the ground up.
Zero egress fees
Downloading your own data should never cost extra. At Lazentis, egress is included under our fair use policy. There are no per-GB download charges, no surprise bandwidth bills, and no financial penalties for accessing your own files. This is a fundamental difference from AWS, Azure, and Google Cloud.
Transparent, predictable pricing
Object storage at Lazentis costs EUR 15 per TB per month. No per-request fees, no minimum storage duration, no data retrieval charges. What you see on the pricing page is what you pay on your invoice. Compare that to the multi-layered, calculator-required pricing of the major hyperscalers.
Simple by design
Get started in minutes with an intuitive dashboard and standard S3 API access. No account managers, no sales calls, no complex onboarding. Create a bucket, generate your API keys, and start storing data. Lazentis is built for developers and teams who value clarity over complexity.