Redis Enterprise’s Stability & High Performance Brings Staples Peace-of-Mind
公司规模
1,000+
地区
- America
国家
- Canada
产品
- Redis Enterprise
技术栈
- In-memory database
- Auto-failover
- Cross-zone/multiregion/multi-datacenter replication
- Auto sharding
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
适用功能
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Staples Business Advantage is a leading wholesaler and distributor of stationery products. The company offers a wide range of office and promotional products, including facility, technology, print, and break-room solutions. As a Fortune 500 company, Staples Business Advantage serves a diverse customer base, providing essential products and services to businesses of all sizes. The company is committed to delivering high-quality products and exceptional customer service, making it a trusted partner for businesses across various industries.
挑战
Staples Business Advantage faced significant challenges with high latency and slow response times from their existing databases. These databases were also limited in their ability to handle high volumes and throughput of data, which was a critical requirement for Staples. The company needed a solution that could provide faster response times and handle larger datasets efficiently.
解决方案
Staples Business Advantage chose Redis Enterprise to address their challenges with high latency and limited data handling capabilities. Redis Enterprise, known for its high performance and stability, provided the company with a scalable solution that could handle their growing data needs. The platform's features, such as high availability, auto-failover, and cross-zone/multiregion/multi-datacenter in-memory replication, ensured that Staples could maintain seamless operations even during peak times. Additionally, Redis Enterprise's ability to scale, cluster, and auto-shard data allowed Staples to move data from other databases and serve more pieces of their application faster.
运营影响
数量效益
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