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The article analyzes the long-term costs of storing 10 petabytes of cold data using AWS, GCP, Azure, and tape over 20 years. It highlights the financial implications and efficiency of each option, providing insights for organizations considering their data storage strategies.
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Carl Watts, a storage architect at the Library of Congress, examines the long-term costs associated with storing 10 petabytes of cold data using various cloud providers—AWS, GCP, and Azure—compared to traditional tape storage over 20 years. He breaks down the pricing models of these services, highlighting that while cloud solutions offer flexibility and ease of access, they can quickly become expensive for large volumes of data. Specifically, he estimates that the cost of storing this data in the cloud could reach millions over two decades, factoring in retrieval fees and other hidden costs.
In contrast, he outlines the advantages of tape storage, which, despite its perception as outdated technology, proves to be significantly more cost-effective for cold data. Watts provides a detailed cost analysis, illustrating that tape storage can reduce expenses to a fraction of cloud prices. He emphasizes the reliability and longevity of tape, noting that it can last decades if stored properly and doesn't incur ongoing fees for retrieval like cloud options do.
Watts also addresses the evolving landscape of data storage, pointing out that while cloud services may be more attractive for active data, organizations with substantial cold data should strongly consider tape solutions. The article delves into technical aspects, including the physical characteristics of tape and its efficiency in energy consumption compared to cloud infrastructures. Overall, Watts presents a compelling case for reevaluating storage strategies, particularly for organizations burdened by growing data volumes and tight budgets.
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