Graph database functionality -

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Recently I found out about the graph database. I have read that there are limited analytics in these databases. I have read that "Things like monitoring usage patterns and providing recommendations based on user history are the worst, and the worst, impossible, with such database platforms."

1 I do not understand why this analytics is limited here?

2 These database graphs can be used to store for Facebook, which saves all the posts by millions of users. How can this be done in the graph database?

If you apply a strict property graph model, you will find that you have "data local" Operation, such as searching the data around the node, there are deepest hopes with relationships, however, like Global Operations such as "Give me all the nodes who have a merit name value, Tom '* in a graph model A complete scan of data is required. This theory has a limit in Practical (e.g.) Gr The Aaf engine is connected with global impermeability like lucin, berklidibi or cassandra, which can take care of such data-global aspects that are often used in some analysis scenarios.

There is no real limit to dealing with the global and local operations of your data, just a different approach and different ways. For some examples of modeling domains in the graph, or open st See also examples of GIS on the Street Map graph.

To store large amounts of data such as Facebook, I only say that last month or position status update for faster recovery and recommendations in a graph The rest I am stored in solutions like Cassandra, and if necessary, how to obtain this "stored subtraction", a reference to the article and important metr Are the ones.

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