DataSphere optimizes the economics and performance of your enterprise infrastructure. Virtualizing all your data into a global namespace, and making it mobile across tiers of storage and cloud, significantly improves the utilization of your infrastructure by enabling the placement of the right data, at the right place, at the right time.
Applications Benefit from Storage Awareness
Bringing the intelligence of machine learning to automated data management, DataSphere is a completely new element in modern IT architecture. Built to maximize the value of existing infrastructure, DataSphere automates migrations from old to new storage, automates data tiering, manages data across storage from different vendors, scales-out NAS arrays, achieves storage QOS, integrates into virtualized environments, and helps enterprises easily adopt cloud storage.
When applications are unaware of the storage attributes available to them – as they have been for decades - they suffer from a multitude of issues:
- Bottlenecks hinder performance
- Cold data compromises hot capacity
- Overprovisioning creates significant overspending
- Migration headaches keep data stuck until retirement
- Vendor lock-in limits agility and increases costs
DataSphere learns how applications experience storage, and moves data to the most appropriate resource without application interruption.
IT shouldn’t have to make sacrifices. Get performance, scale, AND savings
DataSphere takes a whole new approach to data management. DataSphere assimilates data into a global namespace that stretches across the enterprise and into the cloud. Its metadata engine leverages machine learning intelligence to simplify and automate the care and feeding of your data across your storage infrastructure. IT shouldn’t have to make sacrifices. Get performance, savings AND scale – without having to rip and replace a single storage system.
Defer new storage purchases by doing more with your existing investments, and lower costs of application deployment by reducing lifetime resource needs up front. A typical customer with 1PB of data can reduce storage spend over 5 years by up to 72% by automatically archiving old data to the cloud, and deferring the costs of major upgrades.
Automate and optimize daily management. Let IT focus on work that adds value, reduce human error and labor costs, and simplify troubleshooting through machine learning. DataSphere's continual monitoring measures, detects, and resolves data performance problems, often before admins can report them.
This is a typical scenario for an enterprise customer with one petabyte of data to manage, but every company is different. Input the parameters specific to your installation and see how much you can save by deploying DataSphere in your environment.Use the Primary Data TCO Calculator to see how much DataSphere might save you >