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Redis Enterprise’s High Performance Helps PubPlus Accomplish Metering in Real-Time
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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