Graph Sharding Challenges
Sharding graphs presents a complex challenge, particularly with dynamic structures that change as new data is added. While a single Neo4j instance can handle an impressive 34 billion nodes and relationships, the choice of database must align with the data's nature. Graph databases excel in managing higher-level abstractions derived from extensive data streams, allowing users to extract valuable insights and make informed decisions.In this clip
From this podcast
Software Engineering Radio - the podcast for professional software developers
Episode 194: Michael Hunger on Graph Databases
Related Questions