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 refers to the use of recording media to retain data using computers or other devices. The most prevalent forms of data storage are file storage, block storage, and object storage, with each being ideal for different purposes.

  • File Storage - Inexpensive and simply constructed, data is stored in files and folders. This is commonly found on hard drives and means that the files look exactly the same to the hard drive as they do to the user.
  • Block Storage - Data is stored in evenly-sized blocks. Although more expensive and complex and less scalable, block storage is ideal for data that must be frequently accessed and edited.
  • Object Storage - Data is stored as objects with metadata and unique identifiers. Although it is generally less expensive to store data this way, object storage is only ideal for data that doesn’t need to be edited.


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