LTO Tape – TCO Calculator

Across all industries worldwide, data continues to grow exponentially. Additional compliance regulations and longer retention times add to the complexity, meaning businesses with data storage greater than 300TB demand innovative solutions at low-cost. The LTO technology Total Cost of Ownership (TCO) Calculator below aims to demonstrate the real costs of ownership for your data over the long-term, compared with alternative disk or cloud-based solutions.

What You'll Need:

storage in terabytes

How many terabytes of storage you’ll need

annual growth rate

Your annual growth rate

retention period (in years)

Your typical retention period (in years)

data retrieved in percentage

The percentage of your data you will retrieve every month

data retrieved every month

Any data that will be retrieved every month

datacenter floor space costs

An estimate of your datacenter floor space costs (not including power)

LTO is Ideal for Long-Term Data Retention

The LTO cloud compare TCO calculator is designed to fully compare the long term retention solutions available to consumers. This calculator assumes that all bandwidth charges for offsite storage in Cloud or on Tape will be the same, and that calculation is outside the scope of the storage calculation.

Every effort has been made to provide the lowest cost on retrieval commands from cloud including using 4GB globs per retrieval calculation. All data for Cloud is readily available data as published by the compared Cloud storage services (May 15, 2017).

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Calculator Basis and Assumptions

  • All costs are in US dollars.
  • Assumes 4GB Packages/File Globs
  • All calculations are based on constant rates.
  • Internet bandwidth is the throttle and performance retrieval is not a factor.
  • All data retrievals are for egress/retrieval back to the premise location.

This sheet is an estimate and is not a guarantee of costs that may be incurred. The calculations for tape are for Long Term Storage configurations and are not designed to be high performance retrieval implementations.