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, a pooled storage architecture is necessary for enterprises to store all data and support varied workloads. And SDS realizes “One Storage Platform for One Enterprise”.
XEDP serves all data types to unify resource management, breaks HW lock-in, balances data allocation in pool, simplifies persistent data protection and digs out potential value of existing data in a full scale
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 storage needs of varied virtualization platforms and simplify 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 to backend storage resource of scenarios including database, container, file share, network disk, video recording, mass data, mobile internet, backup, archiving, etc.
