Adopting a Graph Data Model | Aerospike Summit 2023

Adopting a graph data model involves a shift in thinking from SQL to graph databases, with a focus on traversing connections and viewing data as a single interconnected entity. This shift necessitates learning a new query language and adopting a different perspective on data.

Key takeaways from this Aerospike Summit 2023 discussion include:

🟦 Graph databases require a different mindset than SQL, emphasizing moving between connections and viewing data as interconnected entities.

🟦 Graph databases use query languages because they focus on traversing data by moving through vertices and edges to find connected information.

🟦 Data in a graph model is seen as one cohesive entity, in contrast to the segmented tables of SQL databases.

🟦 Both SQL and graph databases can perform similar tasks, but the approach and thinking about data differ significantly.

🟦 Developers transitioning to graph databases may face a learning curve, including adapting to a new query language and rethinking data representation and relationships.

🟦 Adopting a graph data model opens up a new way of thinking about data, offering unique opportunities and challenges in the world of databases.

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