In this episode I talk to Michael Hunger from Neo4j about Graph Database Internals (Neo4J)
Chapters:
0:00 Introduction and historical context
20:51 Data Modelling
25:16 Problem with SQL for Graph Model
26:21 Cypher - Query Language
28:23 Write Path
31:36 Neo4J Storage Layer
33:51 Graph API on top of Relational Model vs Native Graph Databases
37:05 Create Node Relationships
40:42 What makes Graph Database's performance better?
46:00 Partitioning Strategy
53:20 Read path
59:27 Schema Migration
01:04:41 Graph database use cases
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