Data powers insight and discovery. With cloud storage, you can afford to store and access all of it.
For scientists and research organizations, the ability to collect and analyse vast amounts of data is essential to discovery. Huge strides have been made in the technology, sensors, and devices used to generate data and the computer power and A.I. algorithms needed to make sense of it all. But what about data storage?
Advances in how we store data haven’t kept up with our ability to generate and process data, causing considerable concern for organizations that deal with data at petabyte (PB) scales. On-premises disk- and tape-based storage vendors continue to introduce incremental advances—but nowhere near the capacity needed for large-scale research projects. And certainly not at a price that anyone can afford.
Cloud providers like AWS, Microsoft Azure, and Google Cloud Platform try to solve the issue of high cost by offering many multiple tiers of storage. This only serves to complicate matters, forcing customers to implement costly data lifecycle-management solutions to figure out the most cost-effective place to store each individual piece of data. Worse, they make it difficult to predict your total cost by charging various transaction fees, including egress fees for accessing your data.
We provide next-generation cloud storage. It’s 80% cheaper yet faster than competitors. This breakthrough in price-performance eliminates the need for confusing storage tiers. We offer a single tier of service that is ideal for storing active data, active archives, and inactive archives (long-term storage). We’ve also eliminated egress fees and other API call expenses. You pay one set price for the data you store, regardless of how often you access it.
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