Today we’ll dig deeper inside DSEGraph and see how it uses Cassandra to distribute the graph over the cluster. We’ll illustrate this post with a classic toy example: a movie graph. Our model is very simple. I consists in “persons” who “acted in” “movies” which “belongs to” “genres”.
Last week I took the course on DSEGraph available on Datastax academy so logically this post is about DSEGraph. It turns out I’ve also used Neo4J a couple of months ago. So this post is going to be a comparison between these 2 graph databases.
Future and Actor are two different paradigms to express concurrent computations. Both of them are perfectly valid abstractions. However one must be careful when it comes to mixing them up.
Last week we’ve seen how basic Paxos works. Today we’re going to extend it in order to run a distributed state machine – a state machine with the same state on all the nodes. The idea is to use a distributed log to run the state machine. Each entry in the log is an operation to […]