TL;DR: This paper analyzes the most popular graph databases and studies the most important features for a complete and effective application, such as flexible schema, query language, sharding and scalability.
Abstract: Graph databases are a very powerful solution for storing and searching for data designed for data rich in relationships, such as Facebook and Twitter. With data multiplication and data type diversity there has been a need to create new storage and analysis platforms that structure irregular data with a flexible schema, maintaining a high level of performance and ensuring data scalability effectively, which is a problem that relational databases cannot handle. In this paper, we analyse the most popular graph databases: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J and OrientDB. We study the most important features for a complete and effective application, such as flexible schema, query language, sharding and scalability.
TL;DR: This paper has presented comparison of current graph databases and it has been observed that Neo4j is the best in all currentCurrent graph databases.
Abstract: Graph databases are used for social networking and website link structure as graphs are used for storing connections among users For example, social networking sites like Facebook, LinkedIn, and Twitter etc It has more complicated networks of relationships, so to represent these databases using relational model is not efficient because of large number of table joining Several well known graph databases are available such as Neo4j, flockdb, allegrograph, sones, trinity, hypergraphdb, infinitegraph, infogrid, orientdb, DEX In this paper, we have presented comparison of current graph databases and it has been observed that Neo4j is the best in all current current graph databases General Terms Graph databases