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Oracle Database (či Oracle DBMS, často jen Oracle) je systém řízení báze dat vyvinutý společností Oracle Corporation. Jde o multiplatformní databázový systém s pokročilými možnostmi zpracování dat, vysokým výkonem a snadnou škálovatelností.
Příklady (relačních) databází & Overview
Explore the main themes, entities and connections around Oracle Database. 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.
oracle database systém dat sql corporation verze společností relační databáze lidí podporuje jazyk dále písmeno grid databází multiplatformní aktuální datové
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Oracle Database | Aktuální verze | 26ai (14. října 2025) | 1.00 | infobox |
| Oracle Database | Licence | End User License Agreement | 1.00 | infobox |
| Oracle Database | Operační systém | multiplatformní | 1.00 | infobox |
| Oracle Database | Typ softwaru | multi-model database system | 1.00 | infobox |
| Oracle Database | Vyvíjeno v | Java, C a C++ | 1.00 | infobox |
| Oracle Database | Vývojář | Oracle Corporation | 1.00 | infobox |
| Oracle Database | Web | www.oracle.com/database/ | 1.00 | infobox |
| Oracle Database | related to Externí odkazy | Obrázky | 0.60 | section |
| Oracle Database | related to Externí odkazy | Wikimedia CommonsOficiální | 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.