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Head-to-head · Key-Value Databases

Amazon MemoryDB vs Infinispan

  • 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
Infinispan #24 in Key-Value Databases 7.3/10 Free plan Free plan✓ 3 of 3 features Visit Infinispan

Amazon MemoryDB leads on 0 checks, Infinispan on 1, and 3 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
  • Free planonly Infinispan

Amazon MemoryDB scores higher on our rubric for key-value databases: 8.7 against 7.3 out of 10; our editors rank them #6 and #24.

Infinispan offers free plan; Amazon MemoryDB doesn't. On deployment model, Infinispan gives you Self_hosted where Amazon MemoryDB offers Cloud.

Amazon MemoryDB is the better fit for durable managed Redis or Valkey workloads. Infinispan is the better fit for open-source Java-centric clustered data platforms.

  • Amazon MemoryDB fits best

    Durable managed Redis or Valkey workloads

  • Infinispan fits best

    Open-source Java-centric clustered data platforms

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Side by side

Feature Amazon MemoryDB 8.7/10 Visit ↗ Infinispan 7.3/10 Visit ↗
At a glance
Editor score 8.7 7.3
Ranking #6 in Key-Value Databases #24 in Key-Value Databases
Best for Durable managed Redis or Valkey workloads Open-source Java-centric clustered data platforms
Pricing model Paid Free
Starting price $0.20/GB usage-based Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Cloud, Self-hosted
Support Tickets, Community, Docs Community, Docs
Integrations 7 integrations 9 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Amazon MemoryDB 3/3 · Infinispan 3/3
TTL support ✓ ✓
Clustering support ✓ ✓
Multi-region support ✓ ✓
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 Hot Rod, HTTP/REST, RESP3, Memcached
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
  • Distributed and replicated cache modes with cross-site replication
  • ACID transactions, persistence, expiration, and multiple search options
  • Spring, Hibernate/JPA, Quarkus, Kubernetes, and OpenShift integrations
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 adds operational effort
  • Its broad feature set may exceed the needs of simple caching projects
  • Primarily suited to teams comfortable with Java and clustered infrastructure
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 →

Infinispan is an open-source distributed in-memory database and caching platform for applications that need low-latency data access, clustering, high availability, and replication across data centers. It is aimed particularly at…

Read the review →
  1. Amazon MemoryDBKey-Value Databases 8.7Paid
  2. InfinispanKey-Value Databases 7.3Free plan

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
  • Infinispan — where it wins

    • Distributed and replicated cache modes with cross-site replication
    • ACID transactions, persistence, expiration, and multiple search options
    • Spring, Hibernate/JPA, Quarkus, Kubernetes, and OpenShift integrations

    Where it doesn't

    • Self-hosted deployment adds operational effort
    • Its broad feature set may exceed the needs of simple caching projects
    • Primarily suited to teams comfortable with Java and clustered infrastructure

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update