A graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. It represents data in graph structures with nodes, edges and properties, allowing for flexible modeling and querying of highly connected datasets. Graph databases are well suited for applications with complex relationships that are difficult to represent in traditional relational databases.

1. Graph Database

2. The 4 Types of NoSQL
DatabaseKey-Value
In-memory Database
Document Database
Graph Database

3. Graph Database Define
a database that uses graph structures for semantic
queries with nodes, edges and properties to
represent and store data – independent of the way
the data is stored internally. It’s really the model and
the implemented algorithms that matter.

4. Scenario
Joel Hans Embiid 曾爆出過他⾃自⼰己 PS 的⼀一張圖，隔空⽰示愛 Rihanna

5. Graph Database

6. Much Data

7. Why do I need Graph
Database
1. 更更快的資料庫操作。當然，有⼀一個前提條件，那就是數據量量較⼤大，在MySql中存儲的話
需要許多表，並且表之間聯聯繫較多（即有不少的操作需要join表）。
2. 數據更更直觀，相應的SQL語句句也更更好寫（Neo4j使⽤用Cypher語⾔言，與傳統SQL有很
⼤大不同）。
3. 更更靈活。不管有什什麼新的數據需要存儲，都是⼀一律律的節點和邊，只需要考慮節
點屬性和邊屬性。⽽而MySql中即意味著新的表，還要考慮和其他表的關係。
4. 資料庫操作的速度並不會隨著資料庫的增⼤大有明顯的降低。這得益於Neo4j特殊的
數據存儲結構和專⾨門優化的圖算法。

8. Risk
1. 無法並⾏行行運算
2. 無法有效率的顯⽰示即時資料結構
3. 應付⼤大量量更更新會很吃⼒力力

9. Summary
A graph database is a database designed to treat the
relationships between data as equally important to the data itself.
It is intended to hold data without constricting it to a pre-defined
model. Instead, the data is stored like we first draw it out –
showing how each individual entity connects with or is related to
others.

10. Reference
https://neo4j.com/developer/graph-database/

11. Q & A