See why Neo4j, OrientDB, ArangoDB, MarkLogic, and AllegroGraph are the top 5 graph databases and learn the importance of performance, flexibility, and agility.
Graph databases are essential for the companies dealing with Big Data, as they represent the data in clear and simple visual manner. At the same time graph databases allow to play around with data, improve company overall performance and support agility, which is critical in constantly changing business environment. However, there is a great variety of graph databases that differ in language, purpose, etc. We will have a look at the most notable ones and their core features.
These graph databases are some of the most popular and known; however, there are much more than that. When choosing a graph database, first define the purpose for its use and then check whether its features would fit your requirements.
We’ ve also come up with a list of graph database advantages that you may want to consider.
In addition, graph databases allow deep traversals faster than Relational. And some of them allow very fast execution of complex pattern matching queries and compact representation of the data, basing its implementation on the bitmaps.
