Estimate Memorystore costs for Redis and Memcached with tier comparison, HA, and read replica pricing.
No replication. Single node, no failover.
Redis supports persistence, pub/sub, Lua scripting, and complex data structures. Memcached is a simpler, multi-threaded cache ideal for high-throughput key-value workloads. Redis is typically preferred for its versatility; Memcached for raw caching speed with multi-threaded architecture.
Basic tier provides a single Redis node with no replication or failover. Suitable for development and non-critical workloads. Standard tier adds automatic failover with a replica, ensuring high availability for production use. Standard tier also supports read replicas (up to 5) for read-heavy workloads.
Available only on the Standard tier, each read replica is a full copy of the primary instance. Replicas add the same hourly cost as the primary. They distribute read traffic and provide additional redundancy. Up to 5 replicas can be added per instance.
Choose instance size based on your working dataset plus 25-30% overhead for Redis internals. For Memcached, account for slab allocation overhead. Use multiple smaller Memcached nodes rather than one large node for better distribution. Monitor eviction rates and hit ratios to right-size your instances over time.
Memorystore eliminates operational overhead of managing Redis/Memcached clusters yourself on Compute Engine. Self-managed instances may cost less in raw compute but require patching, monitoring, backup configuration, and failover management. Memorystore provides automated failover, patching, and monitoring out of the box, making it cost-effective for teams that value operational simplicity. For very large deployments, compare the fully-loaded cost (including engineer time) of self-managed vs Memorystore.
Output will appear here...The Memorystore Cost Estimator calculates monthly costs for Google Cloud Memorystore for Redis and Memorystore for Memcached. For Redis, it covers Basic and Standard tiers with optional read replicas for increased read throughput, as well as capacity tiers ranging from 1 GB to 300 GB. For Memcached, it models costs by node type and count. The tool compares tier features side by side, including high availability with automatic failover in Standard tier, and helps you understand the cost implications of adding read replicas. It is ideal for teams building caching layers, session stores, or real-time leaderboards on GCP.
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