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Head-to-head · In-Memory Databases

Infinispan vs Tarantool DB

  • 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
Tarantool DB #6 in In-Memory Databases 8.6/10 Pricing on request ✓ 0 of 4 features Visit Tarantool

Infinispan leads on 0 checks, Tarantool DB 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 8.6 out of 10; our editors rank them #3 and #6.

Infinispan is the better fit for java-centric clustered caching and search. Tarantool DB is the better fit for open-source self-hosted key-value and document systems.

  • Infinispan fits best

    Java-centric clustered caching and search

  • Tarantool DB fits best

    Open-source self-hosted key-value and document systems

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 ↗ Tarantool DB 8.6/10 Visit ↗
At a glance
Editor score 9.0 8.6
Ranking #3 in In-Memory Databases #6 in In-Memory Databases
Best for Java-centric clustered caching and search Open-source self-hosted key-value and document systems
Pricing model Free Paid
Starting price Free plan Pricing on request
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted, Cloud
Support Community, Docs Email, Community, Docs · 24/7
Integrations 9 integrations 4 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Infinispan 0/4 · Tarantool DB 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.
  • Supports key-value, table, and document data models
  • Combines persistence, replication, sharding, and ACID transactions
  • Exports metrics to Prometheus and Grafana
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.
  • Self-hosted deployment places infrastructure management with the team
  • In-memory storage can require careful resource planning
  • Redis compatibility covers Redis data types and 60+ commands
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 →

Tarantool DB is an open-source, self-hosted in-memory NoSQL database for organizations building high-load, real-time services and core-system caches. It supports key-value, table, and document data models, along with CRUD operations,…

Read the review →
  1. InfinispanIn-Memory Databases 9.0Free plan
  2. Tarantool DBIn-Memory Databases 8.6Pricing on request

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.
  • Tarantool DB — where it wins

    • Supports key-value, table, and document data models
    • Combines persistence, replication, sharding, and ACID transactions
    • Exports metrics to Prometheus and Grafana

    Where it doesn't

    • Self-hosted deployment places infrastructure management with the team
    • In-memory storage can require careful resource planning
    • Redis compatibility covers Redis data types and 60+ commands

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update