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Difference between server and storage array

Servers and storage arrays are key elements of today's IT infrastructure, each playing a different role in keeping it running smoothly. Servers are the "workhorses" that process data, run applications and keep websites running, while storage arrays are the "data libraries" that store information and provide quick access to it. But despite their differences in purpose, architecture, and operating principles, they are often confused for each other.

Understanding the differences between servers and storage arrays is not just a matter of technical literacy for IT professionals. It is an important point that helps business owners, managers and system administrators make informed investment decisions and build effective information platforms, improve their fault tolerance, manageability and performance.

In this article we will consider what servers and storage arrays are, how they work and what functions they perform. We will compare them by key criteria and give practical advice on the right choice. We will tell you how to find the optimal configuration for your business needs, avoid unnecessary costs and ensure the potential for future growth.

What is a server

A server is a high-performance computer designed to process requests, centrally manage resources and provide various services to other computers or devices on the network (clients).


The main functions of a server are:

  • Application hosting - running applications, providing access to them over the network.

  • Computing - performing complex computational tasks (data analysis, scientific calculations, etc.).

  • File storage and sharing - providing centralized storage for files, providing shared access to them through the network.

  • Database management - storing, organizing and processing structured data, responding to application queries.

  • Mail services - managing the sending, receiving and storing of e-mail, using SMTP or IMAP protocols.

  • Network management - providing routing, DNS conversions, and network resource management.

  • Virtualization - creating virtual machines that allow multiple operating systems to run on a single device.

  • Security - implementing security features such as authentication, encryption, and traffic filtering.

Servers are usually divided into several types, depending on their functionality and role in the infrastructure.

Types of servers:

  • Web server - manages the hosting of websites and web applications by processing HTTP/HTTPS requests from clients (browsers). 

  • File server - provides centralized storage and access to files over a network, uses SMB or NFS protocols. 

  • Database server - stores and processes structured data, responds to application requests.

  • Application server - runs and manages applications and makes them available to clients over the network.

  • Mail server - handles sending, receiving and storing e-mail, using SMTP, IMAP, POP3 protocols.

  • Game server - manages multiplayer online games, provides data synchronization between players.

  • Proxy server - acts as an intermediary between clients and other servers, provides caching, filtering and anonymity.

  • Virtualization server - runs virtual machines (VMs), allows multiple operating systems on a single physical server. 

  • DNS server - converts domain names to IP addresses to route network requests.

  • Media streaming server - delivers video or audio content to clients in real time or on demand.

Servers are used in enterprise environments, web hosting, cloud platforms, and other structures where centralized resource management is required. They can be highly specialized or combine multiple functions, depending on the company's needs.

For small businesses, a single server is often enough to fulfill the role of file storage, website hosting and mail service. Large companies deploy systems of dozens of servers, where each performs a highly specialized role.

What is a storage array

Storage array is a specialized system designed to store large amounts of information. It consists of several disk drives (HDD or SSD) combined into a single device with centralized management. Provides customers with fast access to data in networked environments, provides high performance and scalability of IT systems. 

The main types of storage arrays are:

  • DAS (Direct Attached Storage) - connected directly to a single server or workstation via SATA, SAS or USB interfaces. Features easy installation and low cost, but access is limited to a single device, making it less flexible for networked environments. Suitable for a small office or personal server, or if you need to increase the storage of an individual server. Essentially a regular disk connected to a computer is a DAS on the minimap.

  • NAS (Network Attached Storage) - connected to a network and provides access to data at the file level via NFS, SMB and AFP protocols. Supports multiple user sharing, suitable for storing and sharing files in a small business or home network. It is essentially a specialized server.

  • SAN (Storage Area Network) - Provides high-speed, block-level data access via specialized Fibre Channel or iSCSI protocols. It has high performance and scalability, but is expensive and difficult to configure. Uses: data centers, virtualization, databases with high I/O requirements. And if DAS\NAS is usually one device, SAN is already several devices connected in a special network.

Compared to local storage on the server, a storage array has increased performance, flexibility and reliability due to the use of advanced technologies. Among them:

  • RAID (Redundant Array of Independent Disks) - combines multiple physical disks into a single logical disk to improve data storage reliability and/or I/O performance. It has different levels (from 0 to 6, and hybrid levels like 10, 50, 60) with different ratios between speed, redundancy and cost. For example, RAID 0 increases speed by distributing data but without redundancy, RAID 1 provides data mirroring to protect against single disk failures, RAID 5 uses data striping and checksums to recover data in the event of a single disk failure.

  • Scalability - Allows you to easily increase storage capacity by adding disks, shelves, or cluster nodes. Gives you the ability to improve system performance and adapt to data growth without major infrastructure changes. Examples: installing additional SSDs to increase cache capacity or speed, or consolidating multiple arrays onto a SAN to support growing data center needs.

  • Fault tolerance - Ensures data availability during failures through redundancy: duplication of critical components, RAID, hot spare disks with automatic data recovery, or replication (copying the same data in multiple locations on different network-connected devices). Minimizes the risk of data loss and downtime in mission-critical systems. For example, if one disk in RAID 5 fails, the array continues to operate, using data from other disks for recovery. NB! The editorial team does not recommend using RAID 5 for critical data, for example 6 or 10 is better.

Storage arrays are used in various scenarios where high performance and reliable data storage is required. The main areas of application are:

  • Data centers - designed for centralized data storage. Support servers, databases and cloud services.

  • Virtualization - provide shared storage for virtual machines, support platforms such as VMware or Hyper-V.

  • Backups - back up data for fast recovery.

  • Analytics - process large amounts of data for tasks that require high-speed access (machine learning, business intelligence).

Server vs storage array: a comparison

To better understand the differences, let's compare servers and storage arrays based on a few key criteria:

Criterion

Server

Storage array 

Primary Purpose

Processing data, running applications, providing services

Storing and protecting data, providing access to data 

Operating system

Full-fledged server OS (Windows Server, Linux)

Specialized OS for storage management or even without OS (in case of DAS)

Key components

Powerful CPU, large amount of RAM, network cards

Multiple disks (HDD/SSD), RAID controllers, access controllers (FC, IB), cache memory

Performance

Optimization for computational and query operations

Optimization for IOPS and data transfer rates

Scalability

Adding CPUs, RAM, or new servers 

Add disks, disk shelves, or nodes

Cost

Initial cost may be lower, but grows with performance requirements

High initial cost, but cost per terabyte decreases as capacity increases

Maintenance

OS and application administration, security

Administration of disk space, RAID, access rights, status monitoring

Access protocols

HTTP, FTP, SMB, SMTP, etc. (depends on the type of server)

Block-based (Fibre Channel, iSCSI, FCoE) or file-based (NFS, SMB/CIFS).



The server is the "brain" of the IT infrastructure, performing active work, and the storage array is the "memory", a passive but critical component responsible for the safety of information. 

Servers are versatile and perform a wide range of computing tasks, while storage arrays specialize in storing data and providing access to it. A universal operating system capable of performing a wide range of tasks runs on the server, while a highly specialized operating system "sharpened" for a single task runs on the array.

Server performance is determined by the gigahertz of the processor and the amount of RAM. Array performance is determined by the number of input/output operations per second (IOPS) and throughput (MB/s).

Server administration includes network configuration, software installation, user management, and security. Array maintenance focuses on managing volumes, LUNs, configuring RAID groups, and monitoring disk health.

It is possible to expand the storage capabilities of a server, but only up to a certain limit, limited by the number of disk slots in the enclosure. Arrays are originally designed to easily add dozens and hundreds of disks.

Buying a simple server is less expensive than buying an entry-level SAN array. However, for storing large amounts of data, a specialized array is often a more cost-effective solution. 

The feasibility of choosing one or another option depends on the type of tasks to be solved. For example, a server is great for local web hosting, while a SAN array is great for virtualized environments with high I/O loads.

Unobvious aspects that differentiate a server from a data array

In addition to differences in basic parameters, servers and storage arrays differ in a number of other characteristics that are not obvious at first glance. Among them:

Architectural differences in data processing

A server processes data in RAM using a CPU, while a storage array processes data at the level of its controllers. Its job is not to compute, but to write or read a block of data from disk as quickly as possible. Modern arrays use sophisticated caching and tiering algorithms (automatic movement of data between fast and slow media) to optimize these processes.

Redundancy and fault tolerance

In a server, fault tolerance is achieved through redundant power supplies, fans, and a RAID controller for the system disks. Although servers can have configurations for redundancy, their capabilities are limited. Storage arrays use advanced RAID levels, hot spare disks, and other fault tolerance mechanisms to ensure data availability. Typically, an array has two or more controllers, multiple power supplies, and multiple network connection paths, completely eliminating a single point of failure.

Resource management and scalability

Server storage scales in a limited way. Arrays, on the other hand, offer both vertical scaling (adding disks) and horizontal scaling (adding new nodes/controllers to the cluster). This allows not only capacity but also system performance to grow almost linearly.

Protocols and access interfaces

Servers use standard network protocols (HTTP, FTP, SMB) to provide data to clients, while storage arrays use specialized protocols. For example, SANs use Fibre Channel (FC) or iSCSI. FC creates a dedicated network with high bandwidth and low latency, while iSCSI allows block data to be transported over a conventional Ethernet network.

I/O latency and performance

Latency is a critical parameter for databases and transactional applications. SAN arrays, especially all-flash (on SSD disks), are designed to provide ultra-low latency, measured in microseconds. Local server storage, even on SSDs, can rarely match the performance and IOPS stability of a dedicated array.

Administration and monitoring

Storage on the server is managed through the OS. Array management is performed through a single web-interface or specialized software that provides detailed information about the status of all components, their performance and used volumes, allows centralized management of all storage resources.

Data security

Server security measures are implemented at the application and OS levels. Storage arrays have built-in security features such as on-the-fly data encryption, snapshots for fast recovery, and replication to a remote site for disaster recovery.

Roles in the infrastructure

Servers provide compute resources (CPU and RAM) and the storage array provides reliable data storage. This division into roles increases infrastructure flexibility, simplifies management, and allows independent scaling of compute and disk resources.

Understanding the architectural and functional differences between servers and storage arrays is essential to designing an efficient and reliable IT infrastructure.

When to use a server and when to use a storage array

The choice between a server with internal disks and a dedicated storage array depends on an organization's specific objectives, budget, performance requirements, and growth plans.

Usage Scenarios:

  • Small Business/Startup. For a company with a few employees where the main tasks are file sharing, hosting a small website and mail, a server with internal disks will suffice. 

  • Storage of large amounts of data. For storing petabytes of information servers are inefficient due to limitations in scalability and cost. Therefore, if a company works with large amounts of data (video archives, project documentation, scientific data, etc.), it will need a dedicated storage array. A SAN or NAS array will provide the space, performance and scalability you need.

  • Sharing and virtualization. Servers can provide shared resources such as printers, applications or databases, but their storage capacity is limited. Arrays offer shared storage with centralized management available to multiple servers. In environments where multiple servers need to access the same data, you can't beat a SAN or high-performance NAS. For example, for virtualization clusters (VMware, Hyper-V) where virtual machines must be able to migrate between physical servers without downtime. Shared storage is a requirement for technologies such as vMotion or Live Migration.

Remember, the best solution is the one that fits your tasks and data volume.

Practical selection tips:

  • Assess your current and future needs. Analyze how much data you have now and how much data you will have in the future. Think about the company's growth 3-5 years into the future.

  • Consider scalability. If the amount of data grows, storage arrays will be required.

  • Determine performance requirements. For a file server, for example, bandwidth is important, and for databases, low latency and high IOPS are important. A storage array may also be required for applications with high data access requirements.

  • Think about fault tolerance. Assess how critical downtime is to your business. If every hour of downtime is a loss, you need a highly redundant solution, i.e., a storage array.

  • Consider your budget. Don't forget the total cost of ownership (TCO), which includes not only the purchase price, but also energy, maintenance and administration costs.

 

Start small, but with room for growth. You can start with a server with external disk-attached shelf (DAS) capability or an entry-level NAS system, and migrate to more serious solutions as you grow. Investing in a storage array can provide a more flexible solution as your business grows.

Frequently Asked Questions (FAQ)

What is the difference between a storage system and a server? 

A server is designed to compute and run applications, while a storage system is solely for storing data and providing high-speed access to it.

Can I use a server as a storage system? 

You can (with reservations), in fact a modern storage system is a highly specialized server. But it is very likely that taking into account the cost of configuring and maintaining the server as a storage system, the total cost will be more expensive than using a ready-made storage system, with the same characteristics and level of reliability.

Do I need both a server and a storage system at the same time? 

Yes, in environments with high load (e.g., data centers) and virtualization. Servers perform the computational tasks and storage systems provide the required capacity. 

Is SAN storage faster than local server storage? 

As a general rule, yes. A Fibre Channel-based SAN array provides significantly higher throughput and lower latency than disks installed directly in the server.

How does a storage system work compared to a file server?

A file server provides file-level access to data, while a storage system can provide block-level access (SAN), which is much more efficient for databases and virtualization. A NAS system is similar in principle to a file server, only cheaper.

Which is better for backup: a storage system or a RAID server?

For reliable backups, it is better to use a dedicated storage system, such as NAS. It offers more capacity and specialized features to handle backups, such as deduplication or replication. The most important benefit is the physical and logical separation of backups from the primary server, which protects them in the event of a virus attack, OS failure, or the failure of the server itself.

When should I choose a separate storage system over a server?

You should choose a separate storage system if your main goal is to store large amounts of data with high performance, scalability and fault tolerance, for example, for backup or analytics. 

Is NAS a server or a storage system? 

NAS (Network Attached Storage) is a storage system, not a server, as it specializes in storing data and providing access to files over a network. There are solutions that allow you to use server functionality on a NAS (usually a home NAS), but still NAS is not a full-fledged general-purpose server. 

What are the advantages of separating the server and storage array? 

When separating the server and storage array, the architecture of the IT system becomes more flexible, its scalability, performance and fault tolerance increases. It becomes possible to independently increase computing power (add new servers) and storage capacity (expand the array). The risk of data loss is reduced: a server failure will not affect the data on the array, and vice versa.

Conclusion

Understanding the differences between servers and storage arrays is key to effectively optimizing your IT infrastructure. Servers are general-purpose devices that handle a wide range of computing tasks, while storage arrays are specialized systems for efficient data storage and management. Choosing between the two depends on your specific needs for processing power and storage capacity. For small businesses and simple tasks, the capabilities of a modern server with an internal RAID array are often sufficient. However, as your business grows, data volumes increase, and IT infrastructure becomes more complex, you will need to move to a dedicated storage system (NAS or SAN) to ensure performance, scalability, and business continuity.

Equipment should be selected based on data volumes and the types of tasks to be performed. For professional assistance in choosing servers and/or storage arrays, contact Servermall experts who will help you find the perfect solution for your business.



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