graph database

基本解釋

There are many use-cases where a graph database is the most natural approach.
在很多種情況下，圖形數(shù)據(jù)庫都是最自然的方式。
So unlike other database approaches which only implicitly can form a graph structure a graph database explicitly represents a graph.
所以說，與那些只能間接構(gòu)成圖架構(gòu)的數(shù)據(jù)庫不同，圖形數(shù)據(jù)庫可以明確地表示圖。
Unlike other databases which store their data in rows, columns or key-value pairs a graph database stores all information in a network of nodes and edges.
和其他以列、行或者鍵/值等形式存儲(chǔ)數(shù)據(jù)的數(shù)據(jù)庫不同，圖形數(shù)據(jù)庫以節(jié)點(diǎn)（Node）和邊（Edge）的網(wǎng)絡(luò)存儲(chǔ)所有信息。

Because graphs are extremely flexible data structures, a graph database can emulate any other kind of database.
FORBES: What You Need to Know About NoSQL Databases
Earlier this week Google introduced us to its Knowledge Graph, a 500 million plus fact-filled database that it has developed from its own research and its acquisition of MetaWeb Technologies.
FORBES: How a Search for the Movie 'Battleship' Fares Under Google's Knowledge Graph