All data is related. In traditional relational databases, the data is stored in the database, but the actual relations between the data need to be calculated at query time through joins.
Graph databases like Neo4J, on the other hand, store data and the relations between data points directly in the database. By storing the relationships with the data, graph databases allow simple and fast retrieval of complex hierarchical structures that are difficult or impossible to model in relational systems.
Relations or graphs are at the core of how we deal with data. By treating relationships as first-class citizens, graph databases open an entire new world of possibilities for enterprise to build intelligent solutions. Although graph databases are best known for their use in social networks, there are many other use cases like path finding, recommendation engines etc.
Neo4J is the world's most popular and open source based graph database, and is available as a 100% open source community edition and as a commercial enterprise edition.
The enterprise edition provides among others unlimited graph size, clustering capabilities and additional security (e.g. LDAP, Kerberus) functionality.
Customers like AirBnb, Deutsch Bahn and Airbus use Neo4J to get insights into their data that wouldn't have been possible with relational databases.
Are you interested to find out how Neo4J can help you to take your data to the next level?
Contact us to find out how we can help!