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Infinispan is a distributed cache and key–value NoSQL in-memory database developed by Red Hat. Java applications can embed it as library, use it as a service in WildFly or any non-java applications can use it, as remote service through TCP/IP.
History, Features & Usage
Explore the main themes, entities and connections around Infinispan. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
distributed java in-memory data cache mapreduce database platform apache red hat nosql wildfly storage execution applications also grid library like
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Infinispan | Developer | Red Hat | 1.00 | infobox |
| Infinispan | License | Apache License 2.0 | 1.00 | infobox |
| Infinispan | Platform | Platform independent | 1.00 | infobox |
| Infinispan | Stable release | 16.2.1 / June 4, 2026; 2 months ago (2026-06-04) | 1.00 | infobox |
| Infinispan | Type | Data grid | 1.00 | infobox |
| Infinispan | Website | infinispan.org | 1.00 | infobox |
| Infinispan | Written in | Java | 1.00 | infobox |
| Infinispan | is a | distributed cache and key | 0.90 | text |
| Infinispan | related to Features | TransactionsMapReduceSupport | 0.60 | section |
| Infinispan | related to Features | LRU | 0.60 | section |
| Infinispan | related to Features | LIRS | 0.60 | section |
| Infinispan | related to Features | JDBC | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.