I am thinking about building an app using Neo4j. I built a prototype with Postgres but there were bottle necks in the IO and querying. Did some research and it

I am thinking about building an app using Neo4j. I built a prototype with Postgres but there were bottle necks in the IO and querying. Did some research and it turns Neo4j might be better suited. The app is a beer recommendation system using data scraped from Beer Advocate. It makes recommendations based on the location of the user and beers that the user enters in. Why a graph database might be suitable for this is that there are no null relationships with Neo4j. In my limited understanding, this means that full table scans don't need to occur for making recommendations based on location. Supposedly cosine simularity and other recommendation algorithms are built in, so looking forward to using that.