Memorystore For Valkey: An Open-Source Data Transformation
Memorystore, Google Cloud's fully managed in-memory solution for Valkey, Redis, and Memcached, is used by over 90% of the top 100 clients. Client installs increasingly use memorystore. Google Cloud made Memorystore for Valkey publicly available, advancing open-source cloud in-memory data management. The GA supports Memorystore for Valkey for production workloads including Private Service Connect, multi-VPC access, cross-region replication, persistence, and more. Also has 99.99% availability SLA.
Memorystore for Valkey was adopted by hundreds of Google Cloud users, including MLB and Bandai Namco Studios Inc., after its August 2024 preview. They've provided us invaluable feedback in recent months, which has shaped their new service:
Memorystore has helped Major League Baseball enhance fan data transmission. Google Cloud makes Memorystore for Valkey, an open-source alternative, widely available. They believe its built-in flexibility and community-driven development will boost speed, scalability, and real-time data processing to better serve players, fans, and operations.
Memorystore supports Bandai Namco Studios' high-scale, low-latency performance, essential for many titles. Memorystore for Valkey's GA launch thrills them. We can increase global player base and real-time gameplay with its features, speed, and open-source nature. It's pleased to adopt Memorystore for Valkey's gaming innovation.
The latest at GA
Memorystore for Valkey has the following enterprise-grade features and a 99.99% SLA powered by Google's high availability and zonal placement algorithms at GA:
Customers can connect to 250 shards with two IP addresses using Valkey's Memorystore's Private Service Connect. Memorystore's discovery endpoint is highly available, so your cluster has no single point of failure.
Memorystore for Valkey lets your cluster grow to meet application demands with cost-optimized functionality and zero-downtime scalability. Supported cluster sizes are 1–250 nodes.
Integrated Google-built vector similarity search: Memorystore for Valkey provides in-memory vector search, over a billion vectors, 99% recall, and single-digit millisecond latency.
Memorystore for Valkey uses Google's vector search module, the Valkey OSS project's official search module, to achieve this performance. The module supports RAG, recommendation systems, semantic search, and other AI applications. Hybrid search improves user experience and application performance by providing more accurate and contextually relevant results.
Integrated managed backups automate migration, compliance, and disaster recovery.
CRR provides low-latency measurements and disaster recovery preparedness. Google Cloud now supports two clustered regions with varied replica counts in addition to the primary region. Valkey's memorystore syncs the control and data planes across geographic borders.
Multiple client-side VPCs can access a Valkey cluster Private Service Connection endpoint using Memorystore for Valkey. Customers may be safely linked across projects and VPCs utilising this technique.
Persistence: Memorystore for Valkey offers RDB-snapshot and AOF-logging persistence for diverse data durability demands.
Memorystore for Valkey supports Valkey 7.2 and its improved engine, Valkey 8.0:
Great performance: Memorystore for Valkey 8.0's asynchronous I/O improvements raise throughput and achieve 2x QPS of Memorystore for Redis Cluster at microsecond latency, making it easy to manage internet-scale workloads.
Even if its pricing is equal to Memorystore for Redis Cluster, Memorystore for Valkey's performance optimisations may result in considerable cost savings by requiring fewer nodes to handle the same workload.
Optimised memory efficiency: Valkey 8.0 optimises memory management to save memory and reduce operating costs for various workloads.
Scalability is more reliable with Valkey 8.0's Google-contributed automatic failover for empty shards and highly available migration states. They added migration states auto-reparing for system resilience.
Memorystore for Valkey offers maintenance windows, single zone and shard clusters, free inter-zone replication, and more.
Customer trust and Google Cloud's open source commitment After Redis modified Redis OSS's licensing in March 2024, the open-source community launched Valkey OSS, funded by Google, Amazon, Snap, and others.
Your trust is highly appreciated. Memorystore for Valkey on Google Cloud offers access to powerful, open technologies. The Linux Foundation endorses Valkey OSS, which, unlike Redis, is licensed under the BSD 3-clause. It has been watching Valkey build steam.
It supports and enhances Memorystore for Redis Cluster, Redis, and Valkey. When Memorystore for Redis clients are ready to transition to Valkey because to its open-source, reliability, and price-performance ratio, Google Cloud provides comprehensive migration aid. Memorystore for Valkey's compliance with Redis OSS 7.2 APIs and your favourite clients simplifies open source migration. You may also reuse Memorystore for Redis and cluster committed usage discounts to ease the transfer.
Now try Valkey's Memorystore
Testing Memorystore for Valkey is the best way to determine its power. Start Valkey or read the documentation. Self-managing Redis shouldn't be difficult. Discover how Memorystore for Valkey powers apps and is simple to use. This lets you focus on designing effective and unique enterprise apps.