Data Storage

DATA STORAGE SOLUTIONS

As a specialist provider of Infrastructure Solutions, Servnet takes a unique approach to managing a business’s critical and non-critical data.

Through our discovery interviews, we evaluate existing storage models and identify alternative technologies that will improve performance, reduce costs, lower footprints and reduce management overheads.

We architect and design solutions that will be benchmarked against project objectives, critical success factors and ROI analysis. We work closely with clients to build strategies with a strong focus on cost efficiency, risk mitigation and service improvement.

WHY USE US?

By helping customers move from legacy storage environment to adopting new technologies, we empower customers with the ability to better manage resources, growing requirements and operational cost.

  • Vendor Agnostic
  • Enterprise Class
  • Flexible and Scalable Solutions
  • Storage Consolidation
  • Customised Storage Solutions
  • Global Coverage
  • Proactive Maintenance Services

Types of Data Storage

There are many different options when it comes to Data Storage solutions: 

  • Direct Attached Storage (DAS)
  • Network Attached Storage (NAS)
  • Storage Virtualization
  • Hyperconverged Storage
  • Flash Storage
  • Cloud Storage
  • Artificial Intelligence (AI)

FILE vs BLOCK vs OBJECT

Data storage is a vital component of business operations today. It could be file storage, object storage or block storage - each one has different pros and cons, depending on the circumstances. Most data storage works by using a combination of recording media and devices to record data. These are the key types to consider.

  • Opting for file storage - If you’re looking for a simple and budget friendly solution, file storage is the obvious choice. Data is stored in files and folders, usually on hard drives. These files and folders appear the same to the hard drive as to the user.
  • Choosing block storage - This approach avoids files and folders and instead opts for blocks of data. It is the best solution if you’re working with data that you need to get to frequently and may also need to edit. This type of data storage can be more expensive than other methods and tends not to be as scalable.
  • Working with object storage - Object storage is exactly what it sounds like - data is stored as objects. Each one of these objects will have a unique identifier as well as metadata. You can save money by working with object storage but it’s not the best choice if you’re likely to need to edit your data. 


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