Amazon ElastiCache now supports Valkey 9.0, bringing new capabilities to customers building real-time, AI-driven, and high-throughput applications on AWS. As applications grow more data-intensive and latency-sensitive, teams often face the overhead of managing separate search infrastructure, throughput ceilings that force over-provisioning, and complex workarounds for data lifecycle management and multi-tenant architectures. Valkey 9.0 addresses these challenges directly with built-in search, engine-level performance improvements, and new operational flexibility.
Valkey 9.0 for Amazon ElastiCache introduces full-text and hybrid search that expands on existing vector similarity functionality to provide real-time full-text search, semantic retrieval, filtering, and aggregations over terabytes of data with microsecond latency and throughput up to millions of requests per second. Valkey 9.0 also delivers up to 40% higher throughput for pipelined workloads through engine-level optimizations including faster command parsing and improved memory prefetching. Valkey 9.0 also introduces hash field expiration that allow TTLs to be applied to individual fields within a hash for fine-grained data lifecycle management and multi-database support in cluster mode enabled deployments, providing lightweight logical namespaces to simplify multi-tenant architectures and migrations from standalone environments. These and more than 100 additional enhancements together bring the performance, functionality, and operational flexibility needed to power increasingly demanding real-time and AI-driven workloads.
Valkey 9.0 is available for ElastiCache node-based clusters and serverlesss caches at no additional cost in all commercial AWS Regions, AWS GovCloud (US) Regions, and China Regions. Valkey is the most permissive open source and vendor-neutral alternative to Redis and the recommended engine on ElastiCache. To get started, create a new Valkey 9.0 cluster or upgrade an existing cluster using the AWS Management Console, AWS SDK, or AWS CLI. To learn more, visit the Amazon ElastiCache documentation.
Categories: marketing:marchitecture/databases,general:products/amazon-elasticache
Source: Amazon Web Services
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