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OrientDB is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document and object models, the relationships are managed as in graph databases with direct connections between records. It supports schema-less, schema-full and schema-mixed modes. It has a strong security profiling system based…
The analysis highlights History, Applications, Companies and Products as prominent areas in the source structure around OrientDB.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around OrientDB shows recurring relationship patterns in the source. For example, OrientDB → Andrii Lomakin, CEO, Cologne, During, For, Germany, In, It, Java, Luca, Luca Garulli, Luca Garulli's, May, Multi-model, Native, Next Step, NoSQL, NoSQL Adoption, Orient ODBMS, Orient Technologies LTD Another extracted example is OrientDB → JOIN, RDBMS, SQL, This, While OrientDB. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
database graph multi-model luca company new engine java data source relationships based record b-tree nosql document garulli models project system
TTTA extracted 44 structured relationships around OrientDB. Examples in this analysis include OrientDB → Developer → OrientDB Ltd and OrientDB → License → Apache 2 License. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OrientDB | Developer | OrientDB Ltd | 1.00 | infobox |
| OrientDB | License | Apache 2 License | 1.00 | infobox |
| OrientDB | Platform | Java SE | 1.00 | infobox |
| OrientDB | Release | 2010; 16 years ago (2010) | 1.00 | infobox |
| OrientDB | Repository | github.com/orientechnologies/orientdb | 1.00 | infobox |
| OrientDB | Stable release | 3.2.55 / 20 July 2026 | 1.00 | infobox |
| OrientDB | Type | Document-oriented database, Graph database, Multi-model database | 1.00 | infobox |
| OrientDB | Website | orientdb.dev | 1.00 | infobox |
| OrientDB | Written in | Java | 1.00 | infobox |
| OrientDB | is a | open source NoSQL database management system written in Java | 0.90 | text |
| OrientDB | is a | 6th most popular graph database according to the DB-Engines graph database ranking | 0.90 | text |
| OrientDB | related to Editions & licenses | OrientDB Community Edition | 0.60 | section |
The concept neighborhoods around OrientDB bring nearby vocabulary together. In this analysis, examples include Database, Source and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OrientDB, one of the stronger structural bridges in this analysis connects OrientDB with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around OrientDB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OrientDB · EN edition · Analysis: TopicsToTalkAbout