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Knowledge base Updated: February 5, 2026

Cloud or local data storage - A guide to choosing a solution

Cloud or local data storage? Find out which solution will work better for your business by looking at cost, security and performance.

Przemysław Widomski Przemysław Widomski

Faced with increasing data storage and processing requirements, companies are facing a strategic choice between cloud and on-premises infrastructure. According to Deloitte’s Cloud Infrastructure Report 2024, 76% of enterprises in Poland plan to increase spending on cloud solutions in the next 12 months. At the same time, many organizations still prefer to store critical data locally, especially in regulated sectors.

The decision between cloud and on-premises environments can have a long-term impact on an organization’s operational efficiency, security and IT costs. In this comprehensive guide, we’ll examine the key aspects of both solutions, helping you make an informed decision tailored to your company’s specific needs.

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What is cloud computing and how does it work in the context of data storage?

Cloud computing is an IT service delivery model in which computing resources are made available over the Internet on demand. In the context of data storage, the cloud offers three basic service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).

When it comes to storage, the most relevant model is IaaS, which provides access to virtual infrastructure, including disk space, computing power and network resources. Providers such as AWS, Microsoft Azure and Google Cloud offer a variety of storage options - from basic block storage to advanced database solutions.

A key element of the cloud is virtualization, which allows efficient use of physical resources by dividing them into virtual instances. This allows organizations to flexibly scale storage space based on current needs.

📚 Read the complete guide: Cloud Security / AWS: Bezpieczeństwo chmury publicznej - AWS, Azure, best practices

What is local data storage and what are its main types?

Local data storage (on-premises) means maintaining IT infrastructure in its own data center or server room. In this model, the organization retains full control over hardware, software and data.

The basic types of local storage solutions include:

Direct-Attached Storage (DAS) - the simplest form of data storage, where media is directly connected to servers. It works well for small organizations, but has limited scalability.

Network-Attached Storage (NAS) - dedicated network-attached storage devices offering shared access to files. A popular solution for medium-sized companies needing a central file repository.

Storage Area Network (SAN) - an advanced storage infrastructure providing high performance and reliability, mainly used in large organizations requiring instant access to data.

What are the key differences between cloud and local data storage?

When analyzing the main differences between cloud and on-premises solutions, focus on five key aspects:

Cost model: The cloud is based on an OPEX (operating expenses) model, where you pay for the resources actually used. On-premises infrastructure requires significant upfront investment (CAPEX) in hardware and software.

Scalability: cloud solutions offer virtually unlimited scalability on demand. With on-premises infrastructure, expansion requires planning and additional investment.

Control: An on-premises environment provides full control over infrastructure and data, while in the cloud, some control is handed over to the service provider.

Availability: The cloud offers built-in redundancy and high availability across geographic locations. For on-premise solutions, providing a similar level of redundancy requires significant investment.

Regulatory compliance: Some industry regulations may require certain data to be stored locally, which may limit the ability to use the cloud in some scenarios.

What are the advantages and disadvantages of using cloud computing for businesses?

The use of cloud computing brings a number of benefits to the organization, but also some challenges that need to be taken into account in the decision-making process. Based on the experience of our clients’ implementations, we can point out the most relevant aspects.

The main advantages of cloud solutions:

Financial flexibility allows costs to be precisely matched to actual resource usage. Organizations pay only for the space and computing power actually used, which eliminates the problem of overestimating or underestimating infrastructure needs.

Automatic scalability enables instant response to changing business needs. For example, an e-commerce company can easily increase resources during busy promotional periods and then reduce them during less busy periods.

The advanced security mechanisms offered by leading cloud providers often exceed the average organization’s ability to protect data. Providers such as AWS and Azure invest heavily in security and regulatory compliance.

Major cloud challenges:

Data transfer costs can significantly affect the total cost of the solution, especially with large volumes of data or frequent transfer of data between regions. Carefully examine the vendor’s pricing policy in this regard.

Vendor lock-in can make it difficult to switch providers in the future or move data to a local environment. It’s worth planning for a multi-cloud or hybrid strategy from the start.

Internet connectivity problems can affect access to data and applications. Redundant links and contingency planning are needed.

What are the advantages and disadvantages of local data storage for businesses?

Storing data on local infrastructure remains an important option for many organizations, especially those operating in regulated sectors or those requiring full control over data.

Key benefits of the local environment:

Full control over the infrastructure allows fine-tuning of hardware and software configurations to meet the organization’s specific requirements. This is especially important for applications requiring specific performance parameters.

Predictable long-term costs, especially for stable resource utilization, may argue in favor of on-premises solutions. After the initial investment, operating costs are often lower than with the cloud.

Regulatory compliance is easier to ensure for sensitive data that must remain in a specific jurisdiction. The organization has full control over the location and flow of data.

Significant local infrastructure challenges:

High initial costs associated with the purchase of hardware, software and preparation of the appropriate environment. It is also necessary to take into account the cost of upgrading every 3-5 years.

Limited scaling flexibility requires careful capacity planning ahead of time. Expanding infrastructure can be time-consuming and expensive.

The need to maintain an in-house IT team with broad technical competence. Unlike in the cloud, where part of the tasks are taken over by the provider, in an on-premises environment, the organization must manage the entire infrastructure itself.

What factors should be considered when choosing between cloud and local data storage?

Choosing the right solution requires a careful analysis of an organization’s specifics and business needs. Key decision factors include:

Load Profile: Analyze the characteristics of resource utilization - stable or fluctuating demand for computing power and storage space. Organizations with dynamically changing needs can benefit more from the flexibility of the cloud.

Security and compliance: Detailed analysis of regulatory requirements and internal security policies. Certain types of data may require local storage due to industry regulations.

Resource availability: Evaluate the available technical competencies within the organization and budget capabilities. Cloud solutions can be attractive to organizations with limited IT teams.

Existing infrastructure: analyze the feasibility of using or upgrading existing resources. In some cases, a hybrid solution may be the optimal choice, allowing for a gradual migration to the cloud.

What are the costs associated with cloud versus on-premises infrastructure?

Cost analysis requires a comprehensive approach that takes into account both direct and indirect expenses. In the case of cloud computing, the main cost components are:

  • Charges for resource usage (CPU, RAM, storage)

  • Data transfer costs

  • Charges for additional services (backup, monitoring, security)

  • Technical support and management

For local infrastructure, consider:

  • Purchase of hardware and software

  • Data center maintenance costs (energy, cooling, security)

  • IT team salaries

  • Regular upgrades and replacement of equipment

How to ensure data security in the cloud and on-premises environments?

Data security in a cloud environment requires a comprehensive approach that combines appropriate security configurations with regular audits and monitoring. The foundation is the implementation of a multi-layered security architecture that includes data encryption at rest and during transmission, identity and access management (IAM), and network segmentation.

For a local environment, organizations must take care of all aspects of security themselves, from physical security to cyber security. It is crucial to implement intrusion detection and prevention systems (IDS/IPS), regular security scans, and backup and disaster recovery policies.

Regardless of the model chosen, it is important to regularly conduct penetration tests and security audits. This allows you to identify potential security vulnerabilities and eliminate them before they are exploited by attackers. Special attention should be paid to securing the interface points between on-premises and cloud infrastructure in the case of hybrid solutions.

An effective security strategy must also take into account the human factor. Regular security training of employees, updating procedures and documentation are essential to maintain a high level of data protection.

What are the best practices for managing data in the cloud and locally?

Effective data management requires the adoption of a coherent strategy that includes data classification, retention policies and access procedures. Organizations should start with a thorough inventory of the data they hold and determine its criticality to business operations. This allows for appropriate allocation of resources and security levels.

A key element is to implement automation of data management processes, especially for backup and archiving. In a cloud environment, you can leverage built-in tools for automated scaling and data lifecycle management, while in a local infrastructure you may need to implement dedicated solutions.

Regular monitoring of resource utilization and performance of storage systems allows to optimize costs and ensure adequate capacity. In the case of the cloud, it is particularly important to monitor the costs associated with storing infrequently used data and potentially migrating it to cheaper storage tiers.

Ensuring data integrity for distributed storage systems is also an important aspect. This requires proper configuration of replication and synchronization mechanisms and regular testing of disaster recovery procedures.

What hybrid solutions are available that combine cloud and local data storage?

A hybrid infrastructure makes the most of the advantages of both data storage models. The basic scenario is to use local infrastructure for critical production systems, while using the cloud for backup, archiving or development environments.

Modern hybrid solutions offer advanced data management capabilities between environments. Technologies such as AWS Outposts and Azure Stack Hub allow you to extend the functionality of the public cloud into your on-premises environment, providing a consistent operating environment and management tools.

An essential element of hybrid architecture is the orchestration layer, which manages the flow of data and workloads between environments. This requires implementing appropriate monitoring and automation tools and ensuring efficient and secure connectivity between locations.

Implementing a hybrid solution requires careful planning of the architecture and the selection of appropriate technologies to connect the two environments. It is crucial to ensure efficient and secure communication between on-premises and cloud infrastructures, and to implement consistent security and access management policies.

How does migrating to or from the cloud affect a company’s IT infrastructure?

The process of migrating data between environments requires careful planning and infrastructure preparation. Organizations must conduct a detailed analysis of the dependencies between systems and applications and determine the optimal order in which to migrate the various components. It is also crucial to estimate the time required for migration and the potential impact on business continuity.

Migration often requires temporary increases in Internet bandwidth and upgrades to network infrastructure. Consideration must also be given to the need to train the IT team on new technologies and tools, especially when migrating to the cloud, where the operational model for infrastructure management changes.

An important aspect is to ensure the compatibility of applications and systems with the target environment. This may require modifying code, updating integration interfaces or even rewriting some components. When migrating from the cloud to an on-premises environment, special attention should be paid to the availability of cloud service equivalents.

The migration process should also include updating operational procedures, technical documentation and disaster recovery plans. It is necessary to conduct detailed tests of all critical functionality in the new environment before the final production transfer.

Developments in data storage technology are moving toward increasingly automated and intelligent management systems. Artificial intelligence and machine learning are increasingly being used to optimize resource utilization, predict failures and automatically scale infrastructure. Next-generation storage systems can autonomously adjust performance parameters according to the characteristics of stored data and access patterns.

Edge computing is becoming an important part of data storage architecture, especially in the context of the Internet of Things (IoT) and applications requiring minimal latency. Organizations are increasingly deploying solutions to process and analyze data closer to the point of origin, requiring a new approach to storage infrastructure design.

We are also seeing the growing importance of software-defined storage (SDS) solutions, which separate the management layer from the physical infrastructure. This allows for greater flexibility in configuring and managing storage resources, regardless of the hardware used. This trend is evident in both on-premises and cloud environments.

Container and microservices solutions, which require new approaches to data storage, are also gaining popularity. Persistent storage for containers and data management systems in distributed architectures are becoming key components of modern IT infrastructures.

What cloud and local solutions does nFlo offer?

nFlo specializes in designing and implementing comprehensive storage solutions tailored to the individual needs of organizations. Our portfolio ranges from solutions based on leading cloud platforms to advanced storage systems for on-premises environments. We work with leading manufacturers such as Dell, IBM and Lenovo, which allows us to offer proven and reliable solutions.

In the area of cloud solutions, we provide full support in architecture design, data migration and management of multicloud environment. Our certified specialists have extensive experience in implementing solutions based on AWS, Microsoft Azure and Google Cloud platforms. We also offer advanced services to optimize the cost and performance of cloud environments.

For organizations that prefer on-premises infrastructure, nFlo provides comprehensive storage solutions including enterprise-class systems, backup/recovery solutions and advanced data archiving systems. Our implementations are characterized by high availability, performance and scalability, allowing the infrastructure to adapt to the growing needs of the organization.

As part of our services, we also provide comprehensive data security support, including security audits, penetration testing and implementation of appropriate data protection policies and procedures. We pay particular attention to compliance with regulatory requirements, such as RODO and industry standards.

How can nFlo help you select and implement the optimal solution for your business?

The process of working with nFlo begins with a thorough analysis of the organization’s needs and requirements. Our experts conduct a detailed audit of the existing infrastructure, analyze system load characteristics and identify potential areas for optimization. On this basis, we develop recommendations for the optimal solution architecture, taking into account both technical and business aspects.

As part of the implementation process, we provide comprehensive support including architecture design, migration planning, solution implementation and acceptance testing. Our team has extensive experience in complex infrastructure projects, which allows us to minimize risks and ensure a smooth transformation of the IT environment.

Once the solution is implemented, we offer various operational support models to suit the needs and capabilities of the organization. This can range from complete takeover of infrastructure management in a managed services model to support of the client’s team in the form of technical consultation or training. We pay special attention to knowledge transfer and competence building within the client’s organization.

We also provide our clients with access to regular technical and business reviews, during which we analyze the effectiveness of the implemented solution and identify potential areas for optimization. This allows us to continuously improve the infrastructure and adapt it to changing business needs.

Through partnerships with leading technology providers, we can offer competitive pricing and access to the latest solutions and industry best practices. Our experts regularly participate in training and certification, which guarantees up-to-date knowledge and high quality services.

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Product Manager
Przemysław Widomski

Przemysław Widomski

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+48 889 051 990przemyslaw.widomski@nflo.pl
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