What Is Cloud Storage?

Cloud storage functions as a persistent data layer that exists independently from compute. Servers, containers and functions can spin up and down freely as data remains available and is replicated across various servers and storage locations within the same data center or region.

This setup provides low-latency access and high reliability for your data. If one storage system fails, others continue to function to ensure data availability.

In action, cloud storage functions like this:

• Data upload: Files and data produced by compute are transmitted securely via network or internet connections to independent data/storage centers.
• Storage distribution/redundancy: Multiple copies of this data are then stored across multiple servers for built-in resiliency against hardware failures or outages.
• Accessing data: Users interact with stored data via web portals, applications, APIs or integrated networks without having to manage physical storage devices.

Whether you’re operating in a public, private or hybrid cloud environment, there are three primary types of cloud storage: object, file and block. Choosing the right one for your data and workloads depends on what you need your data or workloads to do.

Before we dive into each type of storage, it’s important to distinguish how they differ from the types of cloud storage infrastructures/deployment models (aka: public, private, hybrid, multicloud). When we talk about the cloud storage model, we're describing where the storage and infrastructure live (and who manages it), whereas the type of storage indicates the mechanism by which it actually functions.

Object Storage
Massive scalability used as the foundation for modern cloud applications and data platforms. Each piece of data is stored as a self-contained unit or “object” with unique, built-in metadata that acts as an ID. The framework for this storage system relies on that metadata to identify and retrieve data when it’s called upon.

Block Storage
This storage type works like a traditional hard drive. It splits data into fixed-size blocks that are managed by the operating system, allowing for frequent, targeted modifications. In other words, an application can say, "go to this exact location on the disk and change just these few bytes." A database, for example, constantly updates single fields in a record, reads a specified row, or modifies an index entry without rewriting the entire dataset. The tradeoff here is that it isn’t as scalable as object storage.

File Storage
In terms of flexibility and performance, file storage sits somewhere between object and block storage. Like a traditional file system, this framework relies on a hierarchical system of files and folders. Similar to the way a network drive works, it allows multiple servers to access the same shared file system simultaneously. This is useful when several servers need to read from or write to the same set of files as part of the same workload.

Again, while object, block and file storage describe how a storage type works, public, private, hybrid and multicloud describe the infrastructure or deployment model you're running on (where your storage and data live).

The storage model you choose needs to align with your operational needs, business goals, regulatory standards, budget constraints and overall IT strategy.

Public Cloud Storage
In a public cloud model, storage infrastructure is owned and operated by a third-party provider such as AWS, Microsoft Azure or Google Cloud. Organizations store data in shared environments that are securely partitioned.

Private Cloud Storage
Private cloud storage is dedicated to a single organization. It may be hosted on-premises or managed by a third-party provider in a fully isolated environment.

Hybrid Cloud Storage
Hybrid cloud combines public and private environments, allowing organizations to move data between them based on need.

Multicloud Storage
A multicloud strategy uses storage services from multiple cloud providers simultaneously.

Although often used together, cloud storage and cloud backup serve distinct purposes. Cloud storage is designed for active use, while cloud backup is designed specifically for data protection and recovery.

What Is Cloud Backup?
A cloud backup system stores copies of your data independent of the primary data infrastructure used actively day-to-day. When something renders that primary infrastructure unusable, cloud backups are tapped to restore your environment to a pre-vulnerability state, minimizing extended downtime and permanent data loss while averting operational and financial consequences.

Key Differences Between Cloud Storage and Cloud Backup

Backup as a Service (BaaS)
Backup as a service (BaaS) provides automated, cloud-based backup solutions that simplify data protection for organizations. With BaaS, your data is securely backed up offsite, managed through user-friendly dashboards and easily restored when needed, eliminating the complexity of traditional backup infrastructure.

Cloud Storage Security and Data Protection
Data is one of the most valuable assets a business holds, and it comes with great responsibility. The consequences of a security breach can result in regulatory penalties, legal liability, reputational damage and operational disruption.

Unlike on-premises environments where the organization controls the entire stack, cloud storage introduces a shared responsibility model. Encryption, access controls and backup strategy are core pillars of a responsible cloud security posture, each addressing a distinct and real category of risk.

Encryption and Data Privacy
Data should be encrypted in transit as it moves between your systems and the cloud, as well as while it sits “at rest” on the server. Encryption ensures data remains unreadable by bad actors, even if it's intercepted or physically compromised.

While major cloud providers support frameworks like GDPR, HIPAA and ISO 27001, it’s important that organizations understand the shared responsibility model to maintain true compliance.

Access Controls
The standard for access security is “least privilege”: every user, application and service should have access only to what it needs when it needs it. Least-privilege access generally requires both authentication and role-based access controls (RBAC). Authentication measures like multi-factor authentication (MFA) validate access authorization, while RBAC determines what an authenticated user or identity is actually permitted to do.

Data Protection and Ransomware Considerations
Ransomware is an ongoing and evolving threat to any organization’s data security. Cloud providers offer built-in data redundancy and versioning that allow you to roll back to a clean data copy should an attack occur. But if live data is corrupted by an attacker, that corruption can then propagate across replicated copies.

This is why organizations also need an integrated backup strategy that maintains a clean data copy completely separate from the live version, where attackers can't reach. Immutable storage policies prevent those copies from being altered or deleted for a defined period. Built-in versioning, isolated backup integration and immutable storage form the core of a ransomware-resilient data protection strategy.

Data is one of the most valuable assets a business holds, and it comes with great responsibility. The consequences of a security breach can result in regulatory penalties, legal liability, reputational damage and operational disruption.

Unlike on-premises environments where the organization controls the entire stack, cloud storage introduces a shared responsibility model. Encryption, access controls and backup strategy are core pillars of a responsible cloud security posture, each addressing a distinct and real category of risk.

Encryption and Data Privacy
Data should be encrypted in transit as it moves between your systems and the cloud, as well as while it sits “at rest” on the server. Encryption ensures data remains unreadable by bad actors, even if it's intercepted or physically compromised.

While major cloud providers support frameworks like GDPR, HIPAA and ISO 27001, it’s important that organizations understand the shared responsibility model to maintain true compliance.

Access Controls
The standard for access security is “least privilege”: every user, application and service should have access only to what it needs when it needs it. Least-privilege access generally requires both authentication and role-based access controls (RBAC). Authentication measures like multi-factor authentication (MFA) validate access authorization, while RBAC determines what an authenticated user or identity is actually permitted to do.

Data Protection and Ransomware Considerations
Ransomware is an ongoing and evolving threat to any organization’s data security. Cloud providers offer built-in data redundancy and versioning that allow you to roll back to a clean data copy should an attack occur. But if live data is corrupted by an attacker, that corruption can then propagate across replicated copies.

This is why organizations also need an integrated backup strategy that maintains a clean data copy completely separate from the live version, where attackers can't reach. Immutable storage policies prevent those copies from being altered or deleted for a defined period. Built-in versioning, isolated backup integration and immutable storage form the core of a ransomware-resilient data protection strategy.

In the era of AI and data, cloud storage is now the default. It is the infrastructure that enables access anywhere, workload distribution, analytics and AI/ML pipelines, and business continuity at scale.

Below is a recap of the benefits that underscore the advantages of cloud storage.

• Scalability and elasticity: Organizations can scale storage capacity up or down on demand, eliminating the need to overprovision physical infrastructure.
• Cost efficiency: Costs are more predictable and controllable. Cloud storage operates on a pay-as-you-go model, meaning you pay for what you use and offload the overhead of hardware refreshes.
• Accessibility and collaboration: Data can be accessed from anywhere with an internet connection, on any device and across multiple locations, supporting seamless multi-user collaboration.
• Security: Leading cloud providers invest heavily in security, often exceeding what most organizations could realistically achieve independently, including access controls that determine exactly who and what can interact with your data.
• Reliability: Cloud providers offer built-in data replication and redundancy mechanisms, meaning your data is protected against hardware failure, outages and even regional disasters (depending on the tier you choose).
• Simplified management: The operational burden of maintaining storage infrastructure, including monitoring hardware health, managing capacity and applying updates, falls on the provider rather than your team.
• Integration: Cloud storage connects natively with cloud services including analytics tools, AI and machine learning platforms, application services and more.

Cloud storage supports a wide range of business-critical workloads. The specific use case often determines the type of storage (object, file or block) and the deployment model (public, private, hybrid or multicloud) that makes the most sense.

Below is a snapshot of common cloud storage use cases.

• File sharing and collaboration: Allows distributed teams to access and collaborate on shared data in real time without being tied to a physical network.
• Application data storage: Modern applications rely on cloud storage to persist data generated by containers, virtual machines and serverless functions.
• Backup and disaster recovery: Cloud storage can be used to maintain secure, offsite copies of data that can be restored in the event of an attack or data loss.
• Data archiving and long-term retention: Cloud storage enables cost-effective retention of infrequently accessed data, such as compliance records, historical logs and backups.
• Data lakes, analytics and AI: Cloud storage, especially object storage, serves as the foundation for large-scale data platforms used in analytics, machine learning and AI workloads.

Choosing a cloud storage solution should be a strategic decision with direct impacts on an organization's efficiency, scalability and security. It’s essential to look beyond basic capacity and focus on how your storage architecture aligns with your unique business objectives, workload demands and risk tolerance.

Below are some key considerations to keep in mind.

• Performance and latency requirements: Some workloads, such as databases and transactional systems, require low-latency, high-performance storage. Others, such as archives, prioritize cost over speed.
• Cost structure and optimization: Data transfer (egress), retrieval fees, storage tiers and lifecycle policies all impact total cost. Understanding how your data is accessed is critical to managing spend.
• Security, compliance and governance: Data sensitivity dictates security requirements. Encryption, access controls and compliance standards (such as HIPAA and GDPR) should be built into your storage strategy from the start.
• Data access patterns: How frequently and in what way data is accessed influences storage selection. Frequent, real-time access requires higher-performance storage, while lower-cost archival tiers are designed for infrequent access.
• Integration with existing infrastructure: Most organizations operate in hybrid environments. Your storage solution should integrate seamlessly with existing systems, applications and networks.
• Scalability and future growth: Cloud storage removes fixed capacity limits, but planning for data growth helps ensure your architecture remains cost-efficient and operationally sustainable over time.

Is cloud storage secure?
For most businesses, cloud storage is more secure than what they could realistically achieve on their own. That said, this strong foundation requires deliberate configuration and ongoing oversight to be fully effective.

Which type of cloud storage best fits my workloads?
The right storage type depends on what your workload actually does with data. In practice, most organizations use a combination of all three storage types (object, block and file), with each type serving a different layer of the storage infrastructure.

How much storage capacity is required today and in the future?
One of the core advantages of cloud storage is that you don't need to forecast precisely. Capacity can be scaled up or down as demand changes. That said, understanding your growth trajectory helps you choose the right pricing model and storage tiers upfront, which can significantly reduce costs over time.

Do businesses still need on-premises storage?
Cloud storage has matured to the point where it meets the performance, security and compliance requirements of most workloads. That said, some businesses have legitimate reasons to retain on-premises storage. A hybrid approach offers a practical middle ground that balances control with the flexibility and operational simplicity cloud storage provides.

Do I also need a cloud backup strategy?
Yes. Even if your cloud provider offers built-in redundancy, that protects against hardware failure, not against logical errors or malicious activity. A deliberate backup strategy is what ensures you can actually restore operations when something goes wrong.

How will cloud storage integrate with my existing infrastructure?
Most providers support hybrid configurations that allow your existing systems to interact with cloud storage through APIs, SDKs and native connectors.

Cloud storage is an essential cornerstone for organizations striving to thrive in today’s AI-driven landscape. As artificial intelligence, machine learning and advanced analytics become integral to business operations, the ability to rapidly access, scale and protect data is now table stakes.

Modern cloud storage doesn’t just enable seamless collaboration and innovation. It empowers organizations to unlock new insights, respond to market changes faster and safeguard digital assets against evolving threats.

CDW helps organizations design and implement cloud storage strategies that unlock the full potential of their data, ensuring they remain agile, secure and competitive as technology continues to evolve.