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.

See how Pliops helps organizations to keep larger data sets more efficiently with better economics.


Read the Solution Brief:

View the Infographic:


Redis Infographic

Total Cost Savings: ${{total_cost_savings}}

Redis on PSP dramatically reduces CapEx and OpEx as a result of reduced server sprawl, personnel cost, and lower power and cooling requirements. Please see the calculator below to see your estimated cost savings:

{{dram_to_dataset}}% {{100-dram_to_dataset}}%

Redis would typically require {{no_dram_redis_server}} servers

SSDs with Pliops Storage Processor achieves
identical performance with just {{no_pliops_redis_server}} server(s)

Database Size under Management (TB) **
{{db_size}} TB

SSD Cost per GB
$ {{ssd_cost}}

DRAM Cost per GB
$ {{dram_cost}}

** For Database Sizes greater than 12TB, please contact Pliops.

Server Costs


$ per GB

With Pliops, you can deliver the same performance
levels as a DRAM based solution, with {{((1- no_pliops_redis_server/no_dram_redis_server)*100).toFixed(0)}}% fewer
servers and {{((1-(total_pliops_server_cost / total_redis_server_cost)) * 100).toFixed(0)}}% lower cost per GB