Graph database neo4j and performance comparison with relational database

Due to increasing growth of complex and dynamic linked data, there is becoming more and more databases that store data in graph form. First who used them were social networks. Their usage increasly spreads nowdays. In the work we treat database Neo4j, based on the above-mentioned method of storing data in graph. We introduce Neo4j database on both point of view–theoretical and the practical. In the theoretical part we introduce general properties about databases. Then we describe data model of graph databases and its features in detail. We treat also Cypher query language, which database use for querying over stored data. In practical part by using test cases we compare graph database Neo4j with relational database MySQL. In conclusion we summarize of observation over graph database Neo4j