Neo4j, a popular name in the graph database field, says it is bringing its technology to the cloud as a fully managed service for small and medium enterprises, in an attempt to lure new customers ...

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...

Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on Tuesday announced the general availability of Neo4j 2.0. This release adds a new schema ...

Graph databases handle fast-changing, interconnected data more adeptly than traditional databases, which were designed to store rigidly structured information. Of course, graph databases need to be ...

Neo4j is not yet a fully distributed graph database, even with 4.0. But with the new multiple database feature – which essentially allows users to shard a single graph database into multiple ...

Neo4j is a leader in the development of graph databases that can support an array of big data tasks, such as building recommendation systems for retailers or detecting fraud for banks. Its graph ...

About Neo4j Neo4j, the Graph Database & Analytics leader, helps organizations find hidden patterns and relationships across billions of data connections deeply, easily, and quickly.

Today Neo4j is announcing adding support for using Cypher on Spark. Does that mean that you can now use Spark to do everything you can do with a graph database?

Graph algorithms are mostly supported in analytical (OLAP and HTAP) graph databases, although some transactional (OLTP) graph databases such as Neo4j support them.

Peter Neubauer introduces Graph databases and how they compare to RDBMS' and where they stand in the NOSQL-movement, followed by examples of using a graph database in Java with Neo4j.