As data demand continues to grow, and immediacy becomes increasingly essential for business operations, Redis has become the most popular in-memory data structure store.

Due to its sub-millisecond latency and high throughput, Redis enables fast response times for workloads and applications like machine learning, messaging, geospatial data, realtime analytics, gaming leaderboards, and user session caching.

However, as scale increases, the infrastructure costs of keeping large amounts of data in memory can become prohibitive.

View the Redis Calculator to see how Pliops helps organizations keep larger data sets more efficiently with better economics

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