BRYCK Solutions

Edge to Data center

(BRYCK + Tray + Software + Server)

Discover how BRYCK® addresses data center and cloud migration challenges.

  • Data centers and public cloud storage facilities generate 10s of terabytes to petabytes of data per

  • Employees, suppliers, and partners access this data to perform operations and provide customer

  • BRYCK® offers an instant solution for synchronization between storage facilities and data migration

  • This migration process eliminates the risks and costs associated with existing methods

dataicon.png

Data Center

BRYCK

dataicon.png

Data Center

BRYCK

dataicon.png

Data Center

BRYCK

publiccloud.png

Public Cloud

Managing the Massive
Amounts of Data Generated

The largest online companies providing public cloud storage host a combined 1,200 petabytes of data1, adding huge incremental data daily2. As of 2021, the world’s data centers hold around 1,327 exabytes of data and continue to add another 2.5 exabytes daily.

The World Economic Forum estimates that by 2025, humanity will create 463 exabytes of data each day, or the equivalent of 212,765,957 DVDs

np_report.png

The largest online companies providing public cloud storage host a combined 1,200 petabytes of data1, adding huge incremental data daily2. As of 2021, the world’s data centers hold around 1,327 exabytes of data and continue to add another 2.5 exabytes daily.

The World Economic Forum estimates that by 2025, humanity will create 463 exabytes of data each day, or the equivalent of 212,765,957 DVDs

np_cloud-data-transfer.png

Heading: According to the 2021 North American Data Center Trends Report, the demand for data storage space continues to rise. New construction was up by 42% over 2020 at midyear, and vacancy rates reached a nationwide low of 1.6%

np_enterprise.png

Heading: According to the 2021 North American Data Center Trends Report, the demand for data storage space continues to rise. New construction was up by 42% over 2020 at midyear, and vacancy rates reached a nationwide low of 1.6%

How Data Migration occurs currently

Data is currently captured at the source and transferred to storage over
the internet using dedicated high-speed WANs.

Small and Compact

Existing physical road transport solutions can carry a maximum of 10 petabytes per trip and uploading 100 terabytes to the data center or cloud on arrival can take up to 10 days.

Three disadvantages of transferring data using dedicated high-speed WANs include:

Rugged and Durable

Small and lightweight, BRYCK takes a single physical trip to move petabytes of data from the edge to a data center or the cloud. By minimizing the time and infrastructure requirements.

Lack of Bandwidth

Incremental data is typically more than the bandwidth available, and bottlenecks during transfer result in long delays in synchronization.

High Costs

It’s exceptionally expensive, with a 100 Gbps dedicated WAN over the shared internet costing $1.2 million per year, while a 1-Gbps point-to-point WAN comes in at $6 million.

Some emerging cloud vendors do not have solutions for data migration, and some existing solutions can be inadequate.

Data-Migration-chart.png
Benefits

Benefits of BRYCK

By handling big data faster, BRYCK enables organizations to process it quicker, apply findings earlier, use fewer resources, and incur lower costs to do so. The BRYCK data management platform offers multiple additional benefits.

  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges
  • Enables capture of large data from static and mobile edges