Cloud Storage vs Local Storage: How to Choose?

As enterprise data volumes grow, both cloud and local storage options continue to evolve rapidly. The question is no longer simply which one to choose but which one is right for each specific workload. 

In the past, cloud vs. local was often treated as an organization-wide strategic preference. Most organizations now find that framing too blunt. The factors that shape the right storage decision vary significantly between workloads: performance requirements, access patterns, cost structure, compliance obligations, and cyber resilience needs. What works for a distributed collaboration platform might not work for a high-throughput AI training cluster or a ransomware-proof backup architecture. 

This guide covers the key differences between cloud and local storage, shows when hybrid architectures deliver the best results, and offers a five-point framework for evaluating the right choice for any workload. It then applies that framework to enterprise backup, the workload where the stakes are highest. 

Key takeaways 

• Cloud and local storage differ fundamentally in cost model, elasticity, access, control, and performance. Neither is universally superior across all workloads. 
• The most useful question is not just whether to have a cloud or local strategy, but "which is right for this workload?", and the answer may be a hybrid of both. 
• Enterprise backup illustrates why hybrid is frequently the best answer: local primary storage for fast recovery and data immutability, cloud secondary copies for resilience, and orchestration software to manage both reliably. 

What is cloud storage? 

Cloud storage is a form of data storage hosted by a third-party provider on remote infrastructure, typically accessed via the internet or a provider-operated network. There are four main types. 

1. Public cloud: Multi-tenant infrastructure managed by hyperscalers like AWS, Azure, and Google Cloud, shared across multiple customers with virtual separation. Designed for maximum scalability and cost-effectiveness, public cloud lets organizations access large amounts of storage on demand without owning or managing infrastructure. Customers cannot access or modify the underlying hardware and services beyond what the provider permits. 
2. Private cloud: Infrastructure dedicated to a single organization, either managed internally or by a third party on its behalf. Private cloud provides greater control, customization, and data governance than public cloud, since the customer fully owns the environment. However, it generally does not offer the same economies of scale. 
3. Workload-specific cloud: Multi-tenant infrastructure specialized for specific workload requirements, compliance frameworks, or industry sectors, filling the gap between public and private cloud. These platforms may restrict access to specific customer types (for example, government organizations and approved contractors), offer richer services for specific industries, or be optimized to deliver and charge for specific workloads such as backup storage. Examples include FedRAMP High-authorized environments, CJIS-compliant government clouds, and purpose-built cloud backup platforms. They are typically priced at a premium over the general public cloud, reflecting the value of the specialization. 
4. Hybrid cloud: Not a distinct type of infrastructure, but an architectural approach to spanning and managing workloads across both cloud and local environments simultaneously, taking advantage of the best features, economics, and performance of each where appropriate. 

What is local storage? 

Local storage is a form of data storage where data is kept on hardware that an organization owns and operates within its own facilities or controlled data centers.  

This includes company-run data centers, servers, network-attached storage (NAS), storage area networks (SAN), on-premise object storage platforms, and purpose-built on-premises storage appliances. 

Cloud vs. local storage: key differences 

The availability of public cloud platforms in the latter half of the 2000s transformed how organizations think about storage, introducing new options across cost models, elasticity, access, control, and performance.  

Storage remains one of the most important workloads IT manages, and the choice between cloud and local storage for a given workload carries real consequences for cost, speed, control, and data resilience. 

	Cloud storage	Local storage
Cost model	Typically OpEx: pay-as-you-go or subscription	Typically CapEx: upfront with ongoing maintenance; some vendors offer hardware consumption models
Elasticity	Virtually unlimited; storage scales on demand for the customer. The provider procures spare capacity in the background.	Fixed capacity; scaling requires purchasing and deploying additional hardware
Access	Accessible over the internet from any location or device	Typically local network or direct access; external access requires additional configuration
Control	Provider manages infrastructure; customer controls access policies and data	Full customer control over hardware, data placement, and policies
Performance	Variable; depends on network architecture, region selection, and service tier	Predictable, low-latency access, particularly for locally hosted applications

Pros and cons of cloud storage

• Global collaboration and distributed workloads: Cloud storage makes data available to any authorized user or system globally without requiring the organization to manage infrastructure across geographies. This makes it the standard backend for SaaS applications, remote team collaboration workloads, and distributed DevOps pipelines. Information is not siloed by location, and updates are immediately available to everyone authorized to view or edit. 
• Elastic and bursty workloads: Cloud storage delivered through Storage as a Service (STaaS) models lets organizations scale capacity up and down without procurement cycles or upfront capital expenditure. Analytics pipelines, AI/ML training bursts, and seasonal workloads that spike unpredictably benefit from on-demand, scalable storage. Local storage has no equivalent without hardware procurement cycles. 
• Regulated workloads in purpose-built clouds: High-security, compliance-certified cloud environments can now handle some workloads traditionally associated with on-premises control. In the US, clouds authorized for CUI, ITAR, CJIS, and FedRAMP High allow regulated workloads to run in multi-tenant infrastructure with certified access controls, audited procedures, and geographic data residency constraints. Similar frameworks exist across most countries and industry sectors. These environments demonstrate that compliance requirements do not automatically favor local storage. 
• Data lakes and analytics platforms: Cloud object storage provides high-capacity, scalable storage for structured and unstructured data, along with the on-demand processing power required by platforms such as Databricks, Snowflake, and Azure Synapse. The combination of elastic storage and co-located compute is difficult to replicate on-premises for most organizations. 

Where cloud storage has limitations 

• Internet dependency and bandwidth constraints: Cloud storage requires network connectivity for access and synchronization. Workloads that move large volumes of data into or out of cloud storage can run into bandwidth limitations or high costs to avoid them. For data backup specifically, after a ransomware attack, the business typically needs to restore large amounts of data as quickly as possible. Cloud bandwidth constraints can slow recovery significantly at exactly the moment speed matters most. 
• Egress costs: Data transfer out of cloud environments is typically charged separately from storage capacity. For workloads with high retrieval volumes, egress fees are often the hidden cost driver, not storage overages. Any realistic cloud cost model must account for retrieval and transfer costs at expected data volumes, particularly for backup and disaster recovery use cases. 
• Vendor lock-in: Switching cloud providers is often complex and expensive, particularly for organizations with large datasets or applications optimized for a specific provider's proprietary APIs. The flexibility cloud offers at the front end can create portability constraints over time. 
• Shared security responsibility: Cloud providers secure and maintain the underlying infrastructure. Customers are responsible for access control, encryption configuration, identity governance, and compliance policy. Security outcomes depend on both operating in accordance with policies and agreements between them. Beyond that, customers have limited visibility into the provider’s operations. 

Pros and cons of local storage 

Workloads where local typically performs best 

• Low-latency applications: When performance is non-negotiable, keeping data on-premises eliminates internet performance variables entirely. The most demanding trading systems, manufacturing control systems, and real-time inference workloads are commonly run on local infrastructure to deliver consistent, predictable latency at levels that the cloud cannot guarantee. 

• High-throughput compute: AI model training, graphical rendering, and high-performance computing applications often manipulate data volumes large enough that moving them to and from cloud storage is too slow or too expensive. Local storage with high-bandwidth direct connections and tiered drive options (NVMe, SSD, HDD) keeps compute and data co-located without network overhead. 

• Air-gapped and highly secure environments: The most sensitive classified networks and critical infrastructure operate without internet connectivity by design. For workloads where transmission via any external network is considered an unacceptable risk, air-gapped local environments are required. This is not limited to government contexts; some commercial systems of record and ERP environments are subject to equivalent constraints. 

• Edge and disconnected environments: Remote manufacturing plants, ships, oil rigs, and retail environments often require local storage to maintain operations independent of cloud connectivity. Whether the driver is cost, latency, security, or architectural resilience, edge workloads that cannot rely on consistent internet access are well-suited to local infrastructure. 

Where local storage has limitations 

• Capacity planning requirements: Expanding local storage requires hardware procurement, installation, and integration ahead of expected need. There is no on-demand equivalent to instantly-available cloud elasticity. Organizations with rapidly growing or unpredictable data volumes need to plan capacity in advance or carry excess headroom. 
• Physical risk: On-premises hardware is exposed to physical risks, including theft, fire, flooding, and equipment failure. Organizations without resilient physical facilities or in disaster-prone regions face significant exposure if primary or backup data is local-only, without offsite data backups. 
• Upfront capital commitment: Local storage typically requires capital expenditure before the infrastructure is in production. Some vendors offer hardware consumption models that shift this to ongoing operational expenditure, but the general pattern involves upfront costs that cloud's “pay-as-you-go model” avoids. The tradeoff between upfront costs vs. potentially higher but more predictable spend over time is usually one of the key decision factors beyond architectural considerations. 
• Remote and distributed access: Local storage is optimized for access within a controlled local network. Supporting remote workers, distributed teams, or multi-site operations means installing and maintaining additional networking and access infrastructure, VPN configuration, and security controls. For organizations with globally distributed operations, this overhead can be significant compared to the cloud's native accessibility. 

Beyond cloud vs. local: the hybrid approach 

For most organizations, the most practical architecture for some key workloads will combine both models. Hybrid storage is not a fallback but an intentional design that places each workload where it will deliver the best cost/performance tradeoff over time.  

Some common hybrid scenarios are: 

• Backup with local primary and cloud secondary: This approach combines immutable local primary storage with cloud and/or offsite secondary copies.  The local primary enables fast backup and restoration of large data volumes on high-bandwidth local networks, with cloud or offsite secondary copies for resilience. This architecture meets the 3-2-1-1-0 backup rule and ensures data can be recovered after a ransomware attack or site failure. Reliable implementations use backup software that orchestrates data flows and end-to-end encryption across both environments seamlessly. 
• Data tiering and lifecycle management: Hot data stays on-premises for fast local access. Warm or cold data tiers automatically move to the cloud for lower-cost long-term retention. This approach optimizes costs without sacrificing access speed for active workloads. 
• Cloud bursting: Baseline workloads run on-premises, with the ability to expand into cloud capacity during peak demand. This avoids overprovisioning local infrastructure while ensuring capacity is always available when needed. 
• Dev/test in cloud, production on-premises: Distributed teams spin up test environments in the cloud quickly and work with replicated data, while production applications run locally for performance, reliability, or security reasons. 
• Compliance and operational separation: More sensitive or mission-critical data and applications stay on-premises. Less sensitive workloads run from the cloud. With the right orchestration layer, workloads can move between environments as requirements change, balancing risk, performance, and agility without locking into a fixed architecture. 

Cloud, local, or hybrid storage: A five-point framework 

The right storage decision is workload-specific. Rather than defaulting to a blanket preference for cloud or local, consider these five points for each key workload before committing to a storage architecture. 

1. Define workload requirements without biasing toward a solution. Start with what the workload actually needs: performance (latency, throughput), capacity requirements, and projected growth rate, availability SLAs, and data sensitivity (regulated, mission-critical, or unrestricted).  
2. Assess access patterns. Determine who needs access, from where, and how often, and equally who must not have access and how best to enforce it. Consider whether data is frequently accessed (hot) or rarely retrieved (cold), and whether latency tolerance favors local access or can support cloud retrieval. 
3. Evaluate the cost structure for actual data volumes and patterns. Cloud typically runs as ongoing OpEx, but egress costs at realistic retrieval volumes are often the hidden cost driver. Local storage typically involves upfront CapEx with ongoing maintenance, though some vendors offer hardware consumption models. Factor in retention duration, since long-term economics differ significantly between cloud and local storage. 
4. Consider control, security, and compliance. If the workload requires full control over data placement and infrastructure, a local or private cloud is the starting point; if managed services and minimal overhead are the priority, a cloud or hybrid cloud is more suitable. Verify regulatory and data sovereignty requirements, since some frameworks specify where data must reside and/or how it must be protected. 
5. Determine flexibility needs. If the workload requires rapid scaling, burst capacity, or geographic reach, the cloud is the stronger fit; if it requires consistent performance in a controlled environment, a local or hybrid environment is more appropriate. If both are needed, a hybrid approach that keeps sensitive data local while extending to the cloud for scale or secondary copies is typically the right answer. 

Applying the framework to enterprise backup 

Enterprise backup is one of the most storage-intensive and highest-stakes workloads an organization manages – the last line of defense in a ransomware attack or other major data integrity threat. Working through the five-point framework shows clearly why hybrid is the right architecture, and why the local half of that hybrid is the more critical decision. 

Workload requirements 

Enterprise backup involves large, growing data volumes, strict recovery time objectives, and zero tolerance for unrecoverable data loss. In 96% of ransomware attacks, attackers specifically target backup infrastructure to eliminate recovery options before triggering the visible attack on production systems. ^[1] 

Backup-based recovery rates have fallen for three consecutive years, to 54% in 2025. ^[2] The core requirement is backup storage with Absolute Immutability, ensuring data cannot be altered or deleted regardless of what happens to production systems or who gains access to administrator credentials. 

Access patterns 

Primary backup storage requires write throughput to support large backup windows and read throughput to support full production recovery as fast as possible. 

Local storage serves the hot tier: the copies that will be needed to be for an timely restore after an attack. Secondary copies, accessed less frequently and stored across multiple locations or disaster recovery systems, can be migrated to the cloud cost-effectively.  

Cost structure 

Local primary storage, whether procured as CapEx or through a hardware consumption model, provides the throughput and low latency needed for fast recovery without egress charges at restore time. Cloud secondary copies deliver cost-effective long-term retention and offsite resilience. 

Don’t forget to consider the broader business costs in your analysis. A critical cost insight is the potential cost to the overall business of a slow recovery. Restoring a full production environment from the cloud under ransomware pressure, while managing egress fees and bandwidth constraints, will generally not enable the business to recover as quickly as restoring from a local appliance on a high-speed local network.  So the cost of local storage has to be weighed against the cost of extended downtime across the entire business if restore from the cloud will take days or weeks after an attack. 

Control, security, and compliance 

Control is a must-have security requirement for any workload, but in the case of backup data, where the data on your backup storage may literally be the last copy of your data that you have after an attack, look for storage that implements Absolute Immutability and is third party tested.  These give you the assurance that when you need it, your backup will be available and untouched.    

Absolute Immutability with Zero Access to destructive actions enforces protection at four independent layers: S3 Object Lock in compliance mode, a restricted storage application interface, an OS with root access blocked, and BIOS restricted to physical modifications only. No credential, configuration change, or remote command can disable immutability, and therefore backup data cannot be altered or deleted, even if attackers gain access to administrator credentials.   

This contrasts with some storage solutions that claim immutability, but have immutability delays after data is written. or allow administrator access to underlying infrastructure for purposes of updates or management.  In practice, this means that policy-based protection can be overridden if attackers or insiders gain administrator credentials, leaving your backups as exposed to attackers as the production data they are there to protect. 

Compliance frameworks, including HIPAA §164.312(c)(1), SEC Rule 17a-4(f), GDPR Article 32, NIS2 Article 21, and DORA Article 12, require tamper-resistant, non-rewritable storage. Absolute Immutability satisfies these requirements at the architecture level, not through access policies that an administrator could change. 

Flexibility needs 

Primary backup storage demands consistent performance and full control; local is the clear fit. Cloud provides the flexibility and geographic distribution needed for secondary and tertiary copies. The 3-2-1-1-0 rule formalizes this: three copies, two media types, one offsite, one immutable, zero unverified backups. 

The orchestration layer 

Executing this architecture reliably requires the right software. Veeam Backup and Replication (VBR) manages data flows across local and cloud targets, enforces retention policies, verifies restore readiness, and keeps the overhead of managing multiple backup targets low. 

The combination of VBR as the orchestration layer, purpose-built local primary storage, and dedicated cloud backup services as secondary storage consistently delivers on the 3-2-1-1-0 standard. For organizations working through cloud vs. on-premise vs. hybrid backup decisions, this workload is a clear example of how the five-point framework leads to a defensible, resilient architecture for the backup workload. 

About Object First  

"As ransomware threats become more sophisticated and costly, the only guaranteed path to recovery is through reliable, absolutely immutable backups."   - David Bennett, CEO of Object First.  

When ransomware strikes, the future of your business hangs in the balance. In that moment, recovery matters most—getting back up and running as fast as possible, without unwanted complexity. Everything depends on how you decide to approach data resilience. We make resilience simple with immutable backup storage that’s purpose-built for Veeam.  

When your business, reputation, and career are on the line, Object First is your ultimate defense against ransomware. Object First is built on Zero Trust best practices and is third-party tested to be secure. It’s simple to deploy and manage with no security expertise required, and is powerful enough to supercharge Instant Recovery and scale with your business.  

When backup storage is this secure, simple, and powerful—you and your organization become Simply Resilient.  

 

References 

[1] Object First. "ESG Research Finds Immutable Backup Storage Following Zero Trust as the Best Defense Against Ransomware." 2025. https://objectfirst.com/newsroom/press-releases/esg-research-finds-immutable-backup-storage-following-zero-trust-as-the-best-defense-against-ransomware/ 

[2] Sophos. "The State of Ransomware 2025." 2025. https://www.sophos.com/en-us/whitepaper/state-of-ransomware