O'Reilly logo

Learning Neo4j 3.x - Second Edition by Rik Van Bruggen, Jérôme Baton

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Pathfinding queries

Another type of query that is extremely well-suited for graph databases is a query where you will be looking to find out how different data elements are related to each other. In other words, finding the paths between different nodes on your graph. The problem with such queries in other database management systems is that you will actually have to understand the structure of the potential paths extremely well. You will have to be able to tell the database how to jump from table to table, so to speak. In a graph database, you can still do that, but typically you won't. You just tell the database to apply a graph algorithm to a starting point and an endpoint and be done with it. It's up to the database to figure out if and ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required