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Amazon MemoryDB

Amazon MemoryDB is a durable, Redis-compatible in-memory database that combines low-latency data access with a Multi-AZ transaction log for primary-database use cases.

Explore pricing models, common use cases, infrastructure support, and the AWS services that commonly work with Amazon MemoryDB.

Amazon MemoryDB pricing and cost programs

Pricing model: Managed in-memory database usage

On-Demand
Available
Reserved Instances or reserved capacity
Available
Savings Plans
Service-specific
Spot
Not applicable

Billing dimensions: Node hours · Data written · Snapshot storage · Data transfer

Programs and modes: On-Demand Nodes · Reserved Nodes · Multi-AZ

MemoryDB reserved pricing is sold as Reserved Nodes for eligible node types.

Free Tier: Service-specific — verify current offers

Pricing reviewed 2026-07-25. Reviewed against the linked official AWS pricing page. Recheck regional rates and program terms before purchase.

Official AWS pricing

Official AWS sources reviewed 2026-07-21.

Why implement Amazon MemoryDB?

  • Provides microsecond read and single-digit millisecond write latency for compatible in-memory workloads while durably recording mutations across Availability Zones.
  • Removes Redis-compatible cluster provisioning, node replacement, replication, backups, and failover orchestration.
  • Supports sharding, replicas, snapshots, KMS encryption, TLS, access-control lists, and AWS monitoring integrations.

How to implement Amazon MemoryDB

  1. Confirm command, client, data-structure, persistence, consistency, and memory-footprint compatibility, then select node type, shard count, replicas, subnet group, and maintenance settings.
  2. Create a private encrypted cluster with ACL users, security groups, TLS-enabled clients, DNS-based endpoints, and credentials managed outside source code.
  3. Load data or migrate with an approved path, configure backups and alarms, and test reconnect behavior, resharding, maintenance, node replacement, and failover under load.

Amazon MemoryDB best practices

  • Use replicas across Availability Zones for production, distribute keys across shards, and size memory with headroom for growth, replication, snapshots, and workload spikes.
  • Use TLS and ACLs, rotate credentials, restrict network access, and implement client connection pooling, timeouts, exponential backoff, and topology refresh.
  • Monitor memory use, evictions, CPU, commands, connections, replication, latency, and rejected operations; take and restore snapshots according to recovery objectives.

Amazon MemoryDB use cases and server impact

  • Durable session and user-state stores
  • Real-time leaderboards and personalization
  • Low-latency primary databases for Redis-compatible applications

Replaces self-managed Redis-compatible primary clusters and persistence infrastructure, while key design, memory efficiency, and resilient client behavior remain essential.

Official implementation resources

Commonly paired AWS services