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by rotten 4339 days ago
Well for OLTP style processing there are hundreds of use cases. The Neo4j guys have a few on their site to give you some ideas: http://www.neotechnology.com/neo4j-use-cases/

For OLAP style processing there are also many uses. The most common is to look for clusters in large and complex sets of highly related data. (People, for example.) Cluster identification can be used in examining crime networks, disease propogation, finding likely "influencers" for marketing and political purposes, finding many-dimensional patterns of things people tend to buy, and so on. Apache Spark/GraphX is one such tool set.

Twitter uses offline graph processing to suggest who you should follow. Many companies use it (real time or offline) to suggest other items you might want to buy.

And more.
1 comments
supersonick 4337 days ago
The really cool use case in my mind is combining OLTP+OLAP in real time. Hence the interest in GPU acceleration. We have an OLTP platform that integrates a CPU version of the GAS engine used in MapGraph:

http://bigdata.com/bigdata

http://bigdata.com/mapgraph

Eventually we'd like to see the two platforms converge.

link