Diverse applications emerge in modern enterprises. Coexistence of traditional applications and cloud applications lead to various data types including structured data as well as fast-growing unstructured data. As a result, enterprises are often forced to store block, file and object data in different devices, which further complicates the situation.Such isolated storage approach causes managerial problems.
Various storage devices and technologies result in high training costs and complicated operation and maintenance which requires large amount of manpower
Data are stored in different devices from different vendors, which makes it difficult for data share and flow. It’s hard to unify Disaster Recovery Solutions, compliance solutions and management on HW devices
Lifecycle of legacy storage devices is usually 5 years. And migration of data causes huge negative impact on business and IT cost
Therefore, enterprises require a resource-pool type storage architecture to store all data and support their various application loads. The emergence of software-defined storage (SDS) technology makes it possible for "one enterprise with one data storage platform".
XEDP platform can undertake various forms of data from users, which enables users to uniformly manage storage resources, break hardware locking, distribute data evenly in resource pool, simplify persistent protection design, and fully explore the potential value of existing data.
As a backend storage platform for multiple cloud platforms, unstructured data and big data, XEDP supports to scale-out from couple to hundreds of nodes on-the-fly in a single pool, to manage data in a visualized way with easy DevOps as well as built-in data protection for instant feedback to user’s innovation requirements
XEDP provides block, file and object data service with a single set of storage. Meanwhile, XEDP is certified to support multiple dedicated clouds and to back up data to public clouds, improving data reachability and flowability
Seamless connection to multiple cloud platforms satisfies cloud infrastructure requirements.
Meet the storage requirements of different virtualization platforms and simplify the storage infrastructure.
Unified storage for all types of data with multi-protocol interworking, in-place Hadoop analysis, with no need of data copy and movement.
Unified support of back-end storage resources in various business scenarios of database, container, file sharing, network disk, image, mass data, mobile internet, backup and archiving.