How Redis handled scalability tradeoffs with Pilops Storage Processor
Radically Improve Redis Service Offering
As data demands continue to grow and immediacy of access becomes increasingly essential for business operations, Redis has become a leading in-memory NoSQL database due to its fast response times for demanding workloads like ML and real-time analytics.
However, as scale increases, the infrastructure costs of keeping large amounts of data in memory can be debilitating.
Check out this solution brief to learn how Pliops Storage Processors enable high performing, low-latency Redis deployments utilizing low-cost flash storage.