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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Kingsoft Cloud Elastic Block Storage Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Kingdee Professional Services 12149 $868M China Kingsoft Cloud Kingsoft Cloud Elastic Block Storage Cloud Storage 2019 n/a In 2019, Kingdee implemented Kingsoft Cloud Elastic Block Storage to host MongoDB databases that back its ERP and cloud services in China. Kingsoft Cloud Elastic Block Storage was deployed as a Cloud Storage block volume layer to improve I/O performance for transactional and application workloads tied to ERP operations. The deployment concentrated on database and ERP application infrastructure, provisioning block volumes to MongoDB nodes to support transactional throughput and operational scalability. Configuration emphasized capacity expansion and volume-level provisioning to simplify growth of database storage, aligning storage provisioning workflows with application lifecycle operations. Integrations are centered on MongoDB databases and the ERP/cloud service stack, with operational coverage across Kingdee cloud services in China and support for application teams managing transactional workloads. Governance changes focused on storage provisioning and capacity planning processes, and the implementation delivered higher database throughput and simpler capacity expansion for Kingdee's cloud services as reported.
Peking University People'S Hospital China Healthcare 3976 $300M China Kingsoft Cloud Kingsoft Cloud Elastic Block Storage Cloud Storage 2015 n/a In 2015, Peking University People'S Hospital China deployed Kingsoft Cloud Elastic Block Storage as part of a hybrid medical-cloud architecture to address imaging and backup capacity needs. Kingsoft Cloud Elastic Block Storage, classified under Cloud Storage, was provisioned as cloud disks to host medical imaging workloads and to underpin an offsite disaster-recovery capability for the hospital. The implementation focused on using block storage volumes for PACS and clinical data repository CDR storage, delivering elastic capacity expansion to absorb imaging growth and peak ingest events. Storage volumes were consumed by on-prem imaging systems through the hybrid medical-cloud solution, enabling snapshot and backup workflows to be executed to Kingsoft Cloud Elastic Block Storage for offsite retention. Operational scope centered on radiology and imaging IT functions and hospital infrastructure teams, with the cloud deployment designed to relieve on-prem storage constraints and reduce on-prem operations burden. The rollout established cloud-based disaster-recovery and backup processes to improve business continuity, while maintaining local imaging performance through hybrid connectivity and block storage attachment patterns.
Yiyang Xintong Communications 532 $45M China Kingsoft Cloud Kingsoft Cloud Elastic Block Storage Cloud Storage 2018 n/a In 2018, Yiyang Xintong implemented Kingsoft Cloud Elastic Block Storage to build a scalable big-data platform in China. The Cloud Storage deployment used block storage to support high-throughput analytics and large dataset storage for the company�s telecom analytics infrastructure. The implementation provisioned elastic block volumes and capacity orchestration tuned for sustained throughput and parallel data access, enabling integration with the company�s analytics compute clusters and data processing pipelines. Kingsoft Cloud Elastic Block Storage was configured to provide persistent volumes for analytics workloads and to decouple compute and storage for flexible scaling. The deployment focused on big data and telecom analytics use cases rather than end user file services. Operational responsibility concentrated within infrastructure and analytics teams, who managed volume provisioning, performance tiers, and lifecycle operations to support iterative analytics jobs. Governance emphasized capacity planning and access control to maintain consistent throughput for large dataset processing and to preserve platform stability. The engagement resulted in elastic storage capacity and improved data processing performance for Yiyang Xintong.
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