Estimate Memorystore costs for Redis and Memcached with tier comparison, HA, and read replica pricing.
Last verified: May 2026
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 estimator computes Memorystore Redis cost based on tier (Basic single-node, Standard with replica), capacity tier (1, 5, 10... up to 300 GB), and read replica count (Standard only). Each tier has a flat hourly rate that includes the primary + replica. Memcached cost is per-node × node count, with node sizes determined by vCPU/memory configuration.
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.
Your gaming app's leaderboard service uses 8 GB of Redis. Currently on Memorystore Basic (1 instance, 10 GB tier) at $250/month. After a regional outage took the cache down for 2 hours during peak gaming time, you upgrade to Standard tier with 1 read replica = $500/month. The estimator confirms this maintains your 99.9% uptime SLA while keeping cost predictable. Six months later, you add 2 more read replicas to handle increased read traffic without scaling primary memory = $1,000/month total — half the cost of upgrading to a larger Standard tier with the same throughput.
Memorystore for Redis Cluster (a newer offering separate from Basic/Standard) supports up to 250 shards and 14.5 TB total memory with no shard-key restrictions. For large-scale caching workloads exceeding 300 GB, Cluster mode is the only Memorystore option that scales — and it's typically cheaper per GB than running a full Standard tier at max capacity.
Memcached on Memorystore is significantly cheaper than Redis (no replication overhead) but has zero persistence and no failover. For pure caching workloads where 'cold cache after restart' is acceptable, Memcached can be 50% cheaper than Redis Standard with the same memory.
Memorystore for Redis pricing scales linearly with capacity in 1 GB increments above 5 GB. For workloads needing 5-10 GB, you can size it precisely. But the hidden cost is connection limits — each tier has a per-instance connection cap (Standard 5 GB = 65,000 connections). High-fanout architectures with tens of thousands of clients may hit connection limits before memory limits.
Basic tier provides a single Redis instance with no replication or SLA, suitable for caching where data loss on failure is acceptable. Standard tier adds a replicated standby instance with automatic failover and a 99.9% availability SLA. Standard tier costs roughly double Basic tier for the same capacity.
Read replicas (available in Standard tier) are additional Redis instances that asynchronously replicate data from the primary. They handle read traffic to increase aggregate throughput and reduce latency for read-heavy workloads. You can add up to five read replicas, each billed at the same rate as the primary instance.
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