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Head-to-head · In-Memory Databases

Infinispan vs RonDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Infinispan #3 in In-Memory Databases 9.0/10 Free plan Free plan✓ 0 of 4 features Visit Infinispan
RonDB #8 in In-Memory Databases 8.4/10 Open source ✓ 3 of 4 features Visit RonDB

Infinispan leads on 0 checks, RonDB 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 scoreInfinispan · 9.0/10
  • Free planonly Infinispan
  • Most featuresRonDB · 3 of 4

Infinispan scores higher on our rubric for in-memory databases: 9.0 against 8.4 out of 10; our editors rank them #3 and #8.

Infinispan is the better fit for java-centric clustered caching and search. RonDB is the better fit for open-source distributed SQL with Kubernetes deployment.

  • Infinispan fits best

    Java-centric clustered caching and search

  • RonDB fits best

    Open-source distributed SQL with Kubernetes deployment

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 ↗ RonDB 8.4/10 Visit ↗
At a glance
Editor score 9.0 8.4
Ranking #3 in In-Memory Databases #8 in In-Memory Databases
Best for Java-centric clustered caching and search Open-source distributed SQL with Kubernetes deployment
Pricing model Free Free
Starting price Free plan Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Community, Docs Docs
Integrations 9 integrations 3 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Infinispan 0/4 · RonDB 3/4
Data persistence Not checked yet ✓ (best)
High availability Not checked yet ✓ (best)
SQL support Not checked yet ✓ (best)
Vector search Not checked yet Not checked yet
Specs
Deployment Not checked yet Both
Included memory Not checked yet Not checked yet
Supported data models Not checked yet key-value, relational, in-memory, on-disk columns
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.
  • MySQL-compatible SQL with key-value access
  • Synchronous and cross-region replication support
  • Kubernetes and Helm deployment with online scaling
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.
  • Verified integrations are limited
  • Distributed deployment requires operational expertise
  • No standard paid plan is described
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 →

RonDB is an open-source distributed database for teams building scalable transactional systems, online feature stores, telecom services, financial applications, networking services, gaming platforms, and other high-throughput workloads.…

Read the review →
  1. InfinispanIn-Memory Databases 9.0Free plan
  2. RonDBIn-Memory Databases 8.4Open 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.
  • RonDB — where it wins

    • MySQL-compatible SQL with key-value access
    • Synchronous and cross-region replication support
    • Kubernetes and Helm deployment with online scaling

    Where it doesn't

    • Verified integrations are limited
    • Distributed deployment requires operational expertise
    • No standard paid plan is described

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update