Meeting the Storage Challenge of Exponential Data Growth in Genomics
Completing the sequencing of the first human genome in 2003 was a key scientific breakthrough that took 10 years to complete. Since then, high-throughput sequencing machines have allowed researchers to perform sequencing runs in a matter of hours, greatly increasing the pace of scientific discovery. The result has been an explosive growth of genomic data, driving organizations to find more affordable ways to manage and share the data. Based on current sequencing rates, data storage demands are doubling every seven months and are forecasted to reach over 40 exabytes of capacity by 2025, just for the human genome alone. But today’s complex scientific workflows require high throughput and IOPS at low latencies so that researchers can achieve faster discovery.