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Memorystore for Valkey 9.1 claims up to 3× the QPS of Redis Cluster

cloud.google.com by Ankit Sud, Jacob Murphy 9 min read Editor score 7/10

Google says Valkey 9.1 reaches up to three times the queries per second at microsecond latency compared with Memorystore for Redis Cluster. The release examines performance changes and developer capabilities relevant to high-throughput caching.

What: Memorystore for Valkey 9.1 is generally available, with Google claiming up to 3× the QPS of Memorystore for Redis Cluster at microsecond latency.
How: It replaces list polling with SPMC, MPSC, and SPSC queues, then scales I/O workers based on main-thread CPU use and queue depth.
Why it matters: The design targets high-throughput, low-latency in-memory workloads such as AI and microservices serving many concurrent users.

Valkey 9.1 routes jobs and completions through queues between the main thread and I/O workers. Sketched from the article's own text.

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