Comprehensive, Converged and Agile Storage Platform

Offer block, file and object services to build a storage resource pool for varied business applications

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Why A Data-centric Multi-business Storage Platform is Necessary to Modern Enterprises?

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.


Complicated management

Various storage devices and technologies result in high training costs and complicated operation and maintenance which requires large amount of manpower


Locked and isolated

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


Deficiency in elasticity

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, as a distributed software-defined storage platform, supports complicated workloads with 3 major features:

Shared resources

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.

Elastic expansion

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

Support of multi-cloud

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


Multiple Interfaces

  • Block storage supports standard RBD, SCSI, iSCSI, FC, broad virtualization platforms and database applications and satisfies requirements of SAN by cloud infrastructure, database and dev & test scenarios
  • 文件存储:提供 NFS、SMB/CIFS、FTP,POSIX 等标准接口,为用户提供非结构化数据共享存储资源,不仅可以用于企业的文件共享,备份归档通用场景,也可以应用于视频监控、媒资管理、高性能计算等高性能、大带宽、大容量的场景;
  • 对象存储:提供 S3、NFS、HDFS 接口互通,无缝对接对象生态,可用于云原生应用、海量数据、大数据分析、人工智能、备份归档等场景。

Open and Compatible

  • Providing standard development interfaces to provide data storage services for cloud infrastructure and enterprise core business;
  • Hardware independence design, on-demand selection and general X86 platform support, independent of server and component brands;
  • Support heterogenous servers and enjoy value-added benefits of HW’s continuous upgrade
  • 提供对象存储 API 接口,适配应用对接开发,实现应用在线编辑功能。

Multi-effect Data Management, Optimized Resource Configuration

  • Data protection and backup: EC/replication, fault domain, ROW snapshot, Clone, backup, copy, etc.
  • Efficient circulation in space: Automatic thin provisioning, space reclamation, cold and hot storage pools, etc. for improving the utilization rate of storage resources;
  • Dynamic tuning of service quality: LUN QoS, recovery QoS for tidal scenarios
  • 权限管理:多租户管理、配额管理,灵活高效建立企业内部云存储资源;
  • 亚健康:通过聚类算法实现了对磁盘和网络的分析,自动检测集群中的坏盘和慢盘和网络故障,告警并自动隔离,保护存储集群稳定。

Complete DR Solutions

  • Support local and cross-site data protection to meet the backup requirements of block data, objects and cloud;
  • Three-site solution
  • Support cluster extension to realize double-living in the same city.

Typical Scenarios

Multi-Cloud Platform Scenario

Seamless connection to multiple cloud platforms satisfies cloud infrastructure requirements.

Hybrid Virtualization Scenario

Meet the storage requirements of different virtualization platforms and simplify the storage infrastructure.

Data Lake Scenario

Unified storage for all types of data with multi-protocol interworking, in-place Hadoop analysis, with no need of data copy and movement.

Multi-Application Scenario

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.

Use Cases


Compatible Container Vendors/Products