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SQLite (anglická výslovnost [ˌeskjuːelˈlait], někdy též ) je relační databázový systém obsažený v relativně malé knihovně (~700 KB) napsané v C. Je vyvíjen D. Richardem Hippem a šířen pod licencí public domain.
Použití, Rozsah SQLite & Popis
Explore the main themes, entities and connections around SQLite. 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.
systému 16 databáze relační systém public domain linux macos souboru též databázový 17 srpna listopadu datové položky prvky použití klíče
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SQLite | Aktuální verze | 3.40.0 (16. listopadu 2022) | 1.00 | infobox |
| SQLite | Licence | Public domain | 1.00 | infobox |
| SQLite | Operační systém | GNU/Linux, MS Windows, macOS | 1.00 | infobox |
| SQLite | První vydání | 17. srpna 2000 | 1.00 | infobox |
| SQLite | Typ softwaru | Relační databáze | 1.00 | infobox |
| SQLite | Vyvíjeno v | C | 1.00 | infobox |
| SQLite | Vývojář | D. Richard Hipp | 1.00 | infobox |
| SQLite | Web | sqlite.org | 1.00 | infobox |
| SQLite | related to Charakteristické prvky | Charakteristickými | 0.60 | section |
| SQLite | related to Charakteristické prvky | PRAGMA | 0.60 | section |
| SQLite | related to Externí odkazy | Obrázky | 0.60 | section |
| SQLite | related to Externí odkazy | Wikimedia CommonsSeriál | 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.