Back in 1965, Ted Nelson coined the term “hypertext.” In his vision, documents would have Paths going in both directions connecting them all together. On the web that Tim Berners-Lee built, we only got half that vision since what we know as links today only travel in one direction. It wasn’t until the search engines started mapping these links into a graph that the web started to make sense.
A row of data stored in a relational database has an even worse story. In order to understand how it is connected, you must tell it exactly which tables to join and how to join them. It doesn’t even understand the concept of links — those are reserved for the auxiliary join tables. The data stored in a relational database require your SQL expertise to deliver any value. But what happens when we move that data into a graph database? What happens when your rows become nodes and your join tables become real relationships connecting them together? All of a sudden, your data knows exactly what they are connected to and how they are connected.
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