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Head-to-head · Key-Value Databases

Amazon MemoryDB vs Valkey

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon MemoryDB #6 in Key-Value Databases 8.7/10 Paid ✓ 3 of 3 features Try Amazon MemoryDB
Valkey #8 in Key-Value Databases 8.5/10 Open source ✓ 2 of 3 features Visit Valkey

Amazon MemoryDB leads on 0 checks, Valkey on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon MemoryDB · 8.7/10
  • Most featuresAmazon MemoryDB · 3 of 3

Amazon MemoryDB scores higher on our rubric for key-value databases: 8.7 against 8.5 out of 10; our editors rank them #6 and #8.

On deployment model, Valkey gives you Self_hosted where Amazon MemoryDB offers Cloud.

Amazon MemoryDB is the better fit for durable managed Redis or Valkey workloads. Valkey is the better fit for self-hosted Redis-compatible in-memory storage.

  • Amazon MemoryDB fits best

    Durable managed Redis or Valkey workloads

  • Valkey fits best

    Self-hosted Redis-compatible in-memory storage

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Side by side

Feature Amazon MemoryDB 8.7/10 Visit ↗ Valkey 8.5/10 Visit ↗
At a glance
Editor score 8.7 8.5
Ranking #6 in Key-Value Databases #8 in Key-Value Databases
Best for Durable managed Redis or Valkey workloads Self-hosted Redis-compatible in-memory storage
Pricing model Paid Free
Starting price $0.20/GB usage-based Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Linux, macOS
Support Tickets, Community, Docs Community, Docs
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Amazon MemoryDB 3/3 · Valkey 2/3
TTL support ✓ ✓
Clustering support ✓ ✓
Multi-region support ✓ (best) Not checked yet
Specs
Deployment model Cloud Self_hosted
Maximum value size Not checked yet Not checked yet
Persistence modes Both Both
Supported protocols Valkey Cluster protocol; Redis OSS Cluster protocol; HTTPS RESP, TCP, Unix sockets
Our review
Pros
  • Multi-AZ transactional-log durability with automatic failover
  • JSON documents, vector search, and active-active multi-Region replication
  • TLS, AWS KMS encryption, ACLs, and IAM-based access controls
  • Rich data structures, including streams and geospatial indexes
  • Persistence, replication, failover, clustering, and TTL support
  • Open source, BSD-licensed, and available with a free plan
Cons
  • No free plan; MemoryDB is paid-only
  • On-demand charges vary by node type and usage
  • Multi-Region deployments do not support TTL
  • Self-hosted deployment leaves operations to developers and infrastructure teams
  • Primarily developed and tested on Linux and macOS
  • Managed offerings come from separate ecosystem participants
Our verdict

Amazon MemoryDB is a fully managed, durable in-memory key-value database for applications that need low-latency reads, fast writes, high throughput, and data durability. It is compatible with Valkey and Redis OSS data structures, commands,…

Read the review →

Valkey is an open-source, BSD-licensed in-memory data structure store for databases, caching, message queues, and streaming workloads. It is designed for developers and infrastructure teams that want self-hosted Redis-compatible storage…

Read the review →
  1. Amazon MemoryDBKey-Value Databases 8.7Paid
  2. ValkeyKey-Value Databases 8.5Open source

Strengths and trade-offs

  • Amazon MemoryDB — where it wins

    • Multi-AZ transactional-log durability with automatic failover
    • JSON documents, vector search, and active-active multi-Region replication
    • TLS, AWS KMS encryption, ACLs, and IAM-based access controls

    Where it doesn't

    • No free plan; MemoryDB is paid-only
    • On-demand charges vary by node type and usage
    • Multi-Region deployments do not support TTL
  • Valkey — where it wins

    • Rich data structures, including streams and geospatial indexes
    • Persistence, replication, failover, clustering, and TTL support
    • Open source, BSD-licensed, and available with a free plan

    Where it doesn't

    • Self-hosted deployment leaves operations to developers and infrastructure teams
    • Primarily developed and tested on Linux and macOS
    • Managed offerings come from separate ecosystem participants

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update