As the enterprise edge expands to include semi-permanent remote workforces, IoT, and a range of applications like AI and M2M, they generate torrents of nonstop data that must be stored indefinitely and be available in near-real-time to users and applications.
Legacy storage architectures are failing to keep up with both data growth and user/application demand. While storage innovation is pushing more workloads into the cloud, many startups have found that the average enterprise is not yet ready for cloud-only storage. Legacy architectures and applications are experiencing extended shelf-lives due to tight IT budgets, and many enterprises still prefer to keep certain workloads on-premises.
Source:: Network World – Data Center