How Redis handled scalability tradeoffs with Pilops Storage Processor

Radically Improve Redis Service Offering

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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.

Vendor:
Pliops
Posted:
Sep 15, 2021
Published:
Mar 18, 2021
Format:
PDF
Type:
Case Study
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