QingStor
Enterprise-grade distributed storage service supports digital transformation 3.0 by offering comprehensive data storage and management throughout its lifecycle, driving enterprise decisions with data. It leads digital business innovation with agile, easy-to-use, and cost-effective solutions.
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What is QingStor

QingStor® distributed storage is designed for enterprises undergoing digital transformation, providing high-performance, multi-scenario, all-type, and full-lifecycle data storage services and one-stop solutions. Independently designed and developed by QingCloud, QingStor® is born for the cloud, forged over ten years, and verified by large-scale public and private cloud production practices. It offers secure, reliable, agile, easy-to-use, and cost-effective one-stop data storage solutions for various enterprise-level business scenarios. Leveraging QingCloud's software-defined architecture, QingStor® integrates with various cloud computing and hyper-converged platforms, including VMware, OpenStack, and the latest container orchestration frameworks like Kubernetes. It provides cloud storage transformation solutions for core business scenarios like Oracle, offering stronger performance support, business continuity, and data reliability compared to traditional storage.

Benefits of QingStor

Stable and Reliable

Ensure stability and reliability, verified by large-scale public cloud operations, making them a solid backbone for the core business.

Fully Independent and Flexible

Independently developed in all forms, provide fully open API interfaces, flexible and easy to integrate into various IT environments.

Cover all Needs of Digital Transformation

Offer comprehensive infrastructure and platforms needed for digital transformation, providing integrated solutions.

QingStor Features

Financial-Grade High Availability, Stability, and Reliability

Employing multiple, financial-grade security mechanisms, QingStor ensures data durability of seven nines (99.99999%), guaranteeing 24/7 uptime. It provides data security and high availability from disks, nodes, and racks to the entire data center in various extreme situations and offers business continuity mechanisms meeting the requirements of “two cities and three centers”.

Born for the Cloud, Elastic Scalability

For databases or any stateful applications running in cloud or container environments, QingStor offers persistent storage with millisecond-level expansion, supporting large-scale cluster complex workloads, meeting the demands for resource elasticity and massive data storage in the cloud era.

Multi-Dimensional Security, Data as Steady as a Mountain

QingStor employs metadata and data layer design with multi-replica and EC redundancy strategies, ensuring data durability. It supports multi-dimensional access control (ACL), encryption, and data consistency checks, ensuring data security. Features like version management, WORM, and log archiving prevent mishandling and meet compliance requirements.

Intelligent Operations, Insight into Data Value

QingStor enables automated deployment, intelligent performance optimization, and real-time monitoring of the storage platform. It is compatible with various data platforms and data processing services, providing powerful data storage and processing capabilities for scenarios like real-time image processing, audio-video transcoding, big data analytics, log collection, data backup, and archiving, building a unified unstructured data platform and helping users unlock greater data value.

Product Series

Choose the product you want and consult us

QingStor NeonSAN

An all-flash distributed block storage system designed for enterprise core business.

QingStor Object Storage

Balancing mass storage and high-performance computing, this platform is designed for the AI era, providing large-scale high-performance storage.

  • Core Enterprise Databases

  • Container Storage

  • Image Data Storage

Core Enterprise Databases

Enterprise OLTP for online transaction processing, including financial, procurement, production, and customer management systems, requires quick response in IO-intensive application scenarios. Enterprise OLAP for backend analysis, such as operational and risk analysis, sales and financial analysis, and production and supply forecasting, demands high performance and high availability. NeonSAN’s high performance, low latency, and reliability fully meet the processing capabilities of core databases like Oracle RAC, DB2, MySQL, SQL Server, SAP HANA, and data warehousing computing and analysis scenarios.

Container Storage

More enterprises are using cloud-native technologies in emerging scenarios like AI, big data, and edge computing to achieve finer-grained resource division and more flexible task scheduling. QingStor® provides a standard, self-developed CSI plugin, supporting integration with container products like k8s through the CSI plugin; multi-protocol access for unstructured data ensures persistent shared access permissions, allowing containers to migrate freely within the cluster, fully meeting data requirements in container scenarios.

Image Data Storage

Due to business needs and industry compliance requirements, enterprises generate and need to store large volumes of images and videos. QingStor® provides various SDKs and APIs for image processing and video transcoding, significantly reducing the complexity of multimedia data handling. It can easily integrate with various enterprise business systems, providing cost-effective and efficient data storage capabilities.

Customer Success with QingStor

SUNSHINE INSURANCE GROUP

NeonSAN assists Sunshine Insurance in achieving business innovation and service upgrades by creating a cloud data center with a unified storage system: the all-flash configuration of NeonSAN replaces traditional database appliances, providing high performance, and enabling seamless capacity expansion and upgrades without impacting upper-layer applications. The hybrid configuration of NeonSAN provides large-capacity data disks for the cloud platform to store business logs, meet industry regulatory requirements, and provide efficient, stable storage services for deep learning applications, achieving intelligent management and maintenance of all data.

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