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H2 is a relational database management system written in Java. It can be used as an embedded database in Java applications or run in client–server mode.
History & Standards
Explore the main themes, entities and connections around H2 Database Engine. 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.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| H2 Database Engine | License | Eclipse Public License or Mozilla Public License 2.0 | 1.00 | infobox |
| H2 Database Engine | Operating system | Cross-platform | 1.00 | infobox |
| H2 Database Engine | Release | December 2005; 20 years ago (2005-12) | 1.00 | infobox |
| H2 Database Engine | Repository | github.com/h2database | 1.00 | infobox |
| H2 Database Engine | Stable release | 2.4.240 / September 22, 2025; 11 months ago (2025-09-22) | 1.00 | infobox |
| H2 Database Engine | Type | Relational Database Management System | 1.00 | infobox |
| H2 Database Engine | Website | www.h2database.com | 1.00 | infobox |
| H2 Database Engine | Written in | Java | 1.00 | infobox |
| H2 Database Engine | related to history | The | 0.60 | section |
| H2 Database Engine | related to history | H2 | 0.60 | section |
| H2 Database Engine | related to history | May | 0.60 | section |
| H2 Database Engine | related to history | December | 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.