Qumulo Data Platform
Data can be read and written at the same time and hardware does not need controllers for formatting data to readable or transmissible formats - saving time, hardware unit cost, and a potential corruption of that data during these actions.
Data can either be stored or used in a transformation and sorting process, or kept in a holding state ready for access. Additionally, data can be processed in real-time through a centralized data platform for large data repetitive tasks.
This is great for embedded analytics that can be achieved in real-time, allowing administrators to see such things as overheads and usage in real-time. Data security is also greatly improved as one storage volume does not need to contain the whole file; it can be divided over many divisions as the administrator desires.
A system now can use a NoSQL database efficiently with its much larger data size, not presenting a challenge or the need to compromise with a relational database system. These can be created in clusters to reduce the risk of data loss and make backup or mirroring much easier thanks to the data speeds achievable with the NVM protocol and hardware configuration.