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Head-to-head · In-Memory Databases

Infinispan vs Valkey

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Infinispan #3 in In-Memory Databases 9.0/10 Free plan Free plan✓ 0 of 4 features Visit Infinispan
Valkey #5 in In-Memory Databases 8.7/10 Open source ✓ 0 of 4 features Visit Valkey

Infinispan leads on 0 checks, Valkey on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreInfinispan · 9.0/10
  • Free planonly Infinispan

Infinispan scores higher on our rubric for in-memory databases: 9.0 against 8.7 out of 10; our editors rank them #3 and #5.

Infinispan is the better fit for java-centric clustered caching and search. Valkey is the better fit for open-source Redis-compatible deployments.

  • Infinispan fits best

    Java-centric clustered caching and search

  • Valkey fits best

    Open-source Redis-compatible deployments

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Infinispan 9.0/10 Visit ↗ Valkey 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #3 in In-Memory Databases #5 in In-Memory Databases
Best for Java-centric clustered caching and search Open-source Redis-compatible deployments
Pricing model Free Free
Starting price Free plan Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Community, Docs Community, Docs
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Infinispan 0/4 · Valkey 0/4
Data persistence Not checked yet Not checked yet
High availability Not checked yet Not checked yet
SQL support Not checked yet Not checked yet
Vector search Not checked yet Not checked yet
Specs
Deployment Not checked yet Not checked yet
Included memory Not checked yet Not checked yet
Supported data models Not checked yet Not checked yet
Our review
Pros
  • Cross-site replication supports geographically distributed clusters.
  • Transactions, persistence, expiration, and multiple search modes are built in.
  • Spring, Quarkus, Kubernetes, and OpenShift integrations broaden deployment fit.
  • Broad in-memory structures, including streams and geospatial indexes
  • Persistence, replication, Sentinel failover, and cluster sharding
  • Supports TTLs, Lua scripting, transactions, and publish/subscribe
Cons
  • Self-hosted operation places deployment and administration responsibility on teams.
  • The broad feature set may exceed the needs of simple caching workloads.
  • Its strongest ecosystem fit is centered on Java and related platforms.
  • Requires self-hosted deployment and infrastructure management
  • Primarily developed and tested on Linux and macOS
  • Managed offerings come from separate ecosystem participants
Our verdict

Infinispan is an open-source distributed in-memory database and caching platform for applications that need low-latency data access, clustered operation, persistence, and replication across data centers. It can run as an embedded Java…

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 to deploy their own datastore on Linux,…

Read the review →
  1. InfinispanIn-Memory Databases 9.0Free plan
  2. ValkeyIn-Memory Databases 8.7Open source

Strengths and trade-offs

  • Infinispan — where it wins

    • Cross-site replication supports geographically distributed clusters.
    • Transactions, persistence, expiration, and multiple search modes are built in.
    • Spring, Quarkus, Kubernetes, and OpenShift integrations broaden deployment fit.

    Where it doesn't

    • Self-hosted operation places deployment and administration responsibility on teams.
    • The broad feature set may exceed the needs of simple caching workloads.
    • Its strongest ecosystem fit is centered on Java and related platforms.

  • Valkey — where it wins

    • Broad in-memory structures, including streams and geospatial indexes
    • Persistence, replication, Sentinel failover, and cluster sharding
    • Supports TTLs, Lua scripting, transactions, and publish/subscribe

    Where it doesn't

    • Requires self-hosted deployment and infrastructure management
    • Primarily developed and tested on Linux and macOS
    • Managed offerings come from separate ecosystem participants

More comparisons

All In-Memory databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update