Multi-cloud Platform Scenario
Seamlessly connect to various cloud platforms to meet the needs of cloud infrastructure construction
Data Lake Scenario
Meet the unified storage of various types of data, multi-protocol interoperability, support Hadoop in-place (in place) analysis, data does not need to be copied and moved
Hybrid Virtualization Scenarios
Meet the storage requirements of different virtualization platforms and simplify the storage infrastructure
Multiple Application Scenarios
Unified support for back-end storage resources in various business scenarios such as databases, containers, file sharing, network disks, images, massive data, mobile Internet, backup, and archiving
User Needs
Why do modern enterprises need a data-centric multi-service storage platform?
In the face of digital transformation, enterprise applications are diverse. In addition to traditional applications, there are also a large number of cloud-oriented applications, resulting in a variety of data types. In addition to structured data, there is also the fastest growing unstructured data. Therefore, enterprises are struggling to cope and are often forced to make various compromises, storing block, file, and object data in different types of storage devices. The business is becoming more and more complex, and there are more and more isolated islands. This kind of scattered data The storage method brings a series of management problems:
Complex Management
Seven countries and eight systems for storage devices, diversified technical routes, high learning costs, complex operation and maintenance; requires a lot of operation and maintenance manpower
Data Island
Different application data is stored on hardware devices of different manufacturers, so data sharing and flow are very difficult, forming new data islands, it is difficult to unify disaster recovery plans and supervision plans, and it is impossible to pool resources for hardware device management
Lack of Flexibility
The traditional storage life cycle is generally only 5 years, and the scalability is poor. After the life cycle ends, new equipment needs to be purchased, and all data needs to be migrated, which has a huge impact on the business and a huge burden on the IT budget.
Therefore, enterprises urgently need a resource pool-style storage architecture to store all data and support various application loads of enterprises. The emergence of software-defined storage (SDS) technology has made it possible to "one enterprise, one data storage platform".
Features
Why XEDP (XSKY Enterprise Data Platform) is ideal for modern enterprises?
XEDP distributed software-defined storage platform products support various complex loads. It has three characteristics:
Resource Sharing
XEDP can undertake various forms of user data, realize unified storage resource management for users, break hardware lock, data can be evenly distributed in resource pools, simplify persistent protection design, and fully explore the potential value of existing data
Elastic Expansion
As the back-end storage carrier of various cloud platforms, unstructured data, and big data platforms, XEDP can achieve non-stop horizontal expansion from several to hundreds of single resource pools, with visual management and simple operation and maintenance, and built-in data protection. Adapt to the rapid response needs of user business innovation
Cloudy Friendly
XEDP is a true unified storage, which realizes that the same storage system provides block, file and object data services for upper-layer applications. At the same time, XEDP certifies and supports a variety of proprietary clouds, and supports data protection to a variety of public clouds, improving data accessibility and mobility
XEDP is already a highly mature product with numerous deployment cases and has been highly praised by customers in Gartner Peer Insights
"Good performance and stable software-defined storage product"
"Low cost, large capacity, simple operation and maintenance"
"An effective solution can be provided according to the demand and implemented in a short period of time"
* Reviews on Gartner Peer Insights are based on users' own experiences and subjective opinions
Product Advantages
Multi-application support, open unlocking, agile and efficient data storage platform
Multiple Application Interface
- Block storage: Provide RBD, SCSI, iSCSI, and FC standard interfaces, support a wide range of virtualization platforms and database applications, and meet the needs of SAN storage in scenarios such as cloud infrastructure, databases, and development and testing
- File storage: Provide standard interfaces such as NFS, SMB/CIFS, FTP, HDFS, POSIX, etc., and provide users with high-performance full-protocol interoperable distributed file storage. Emerging data-intensive application scenarios such as AI/autonomous driving high-performance training storage, EDA chip design, industrial simulation and modeling, and enterprise database
- Object storage: Provides S3, NFS, HDFS interface interoperability, seamlessly connects to the object ecosystem, and can be used in scenarios such as massive small files, massive data storage, high concurrent access, artificial intelligence, big data applications, backup and archiving
Open and compatible, hardware unlocked
- Provide standard open interfaces to provide data storage services for cloud infrastructure and enterprise core business
- Hardware-independent design, select according to needs, support x86 general platform, independent of server and component brands
- Support heterogeneous servers and enjoy the value-added benefits brought by continuous hardware innovation
- Support CSI container interface certification, compatible with Kubernetes Ecosystem
Efficient data management and optimized allocation of resources
- Data protection and data backup: EC/multi-copy, multi-level fault domain, ROW instant snapshot, clone, backup, replication and other functions
- Efficient space transfer: automatic thin provisioning, space reclamation, hot and cold storage pools, etc. to improve the utilization of storage resources
- Dynamic control of service quality: storage volume QoS, data recovery QoS, file directory QoS, multi-dimensional object bucket and user QoS, and response to tidal application scenarios
- Authority management: multi-tenant management, quota management, flexible and efficient establishment of enterprise internal cloud storage resources
- Resource optimization configuration: Support full-scenario EC and compression, greatly improving disk space utilization; support a storage pool to support block, file and object protocols at the same time
Perfect data disaster recovery solution
- Support local and cross-site data protection in multiple ways to meet the backup requirements of blocks, files, objects and cloud
- Support block, file and object data protection scheme in two places and three centers
- Support extended clusters to achieve full-protocol active-active in the same city and protect key services
Open Ecosystem
Hybrid Cloud Depth Adaptation
