Announcing Valkey 9.0 for Amazon ElastiCache

Amazon Web Services has announced support for Valkey 9.0 on its ElastiCache service, introducing significant performance and functionality enhancements for real-time and AI-driven applications. The update brings built-in full-text and hybrid search capabilities that extend beyond existing vector similarity functions to deliver real-time search, semantic retrieval, filtering, and aggregations across terabytes of data with microsecond latency and throughput reaching millions of requests per second. This eliminates the need for organizations to manage separate search infrastructure alongside their caching layers. Valkey 9.0 delivers substantial performance improvements, including up to 40% higher throughput for pipelined workloads through engine-level optimizations such as faster command parsing and improved memory prefetching. The release also introduces hash field expiration, allowing time-to-live (TTL) settings to be applied to individual fields within a hash for granular data lifecycle management. Additionally, multi-database support in cluster mode deployments provides lightweight logical namespaces that simplify multi-tenant architectures and facilitate migrations from standalone environments. These enhancements address common challenges faced by teams building data-intensive applications, including the operational overhead of managing separate search systems, throughput limitations that require over-provisioning, and complex workarounds for data management in multi-tenant scenarios. The update is available now for Amazon ElastiCache users looking to leverage these advanced caching and search capabilities.