Redis Enterprise’s High Performance Helps PubPlus Accomplish Metering in Real-Time
公司规模
SME
地区
- America
国家
- United States
产品
- Redis Enterprise
- AWS DynamoDB
- Microsoft SQL Server
- Oracle
- MySQL
技术栈
- Real-time analytics
- Job and queue management
- Time-series data
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
- 应用基础设施与中间件 - 数据交换与集成
适用功能
- 商业运营
用例
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
PubPlus is a revenue attribution solution designed to help publishers maximize their content distribution spend, ad revenue, and user engagement. By aggregating data into a single, easy-to-manage platform, PubPlus enables publishers to gain valuable insights to drive growth and profitability. The platform allows users to identify and halt underperforming content distribution campaigns while scaling profitable ones to maximize ROI. PubPlus relies on Redis Enterprise to manage its highly distributed system and implement a metering solution with minimal effort.
挑战
PubPlus faced significant challenges with high latency and slow response times from other databases. As their application usage and user count grew, they needed a solution that could handle real-time analytics, job and queue management, and time-series data efficiently. The company sought a database solution that could offer high availability, stability, and high performance while seamlessly scaling to meet their growing needs.
解决方案
PubPlus chose Redis Enterprise to address their challenges due to its high availability, stability, and high performance. Redis Enterprise's capabilities, such as persistence, auto-failover, and cross-zone/multi-region/multi-datacenter in-memory replication, were crucial for PubPlus. The platform's ability to seamlessly scale, cluster, and auto-shard allowed PubPlus to handle real-time analytics, job and queue management, and time-series data efficiently. Redis Enterprise also enabled PubPlus to implement metering and enhance customer engagement through social channels.
运营影响
数量效益
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