Some of the popular graph databases are Neo4J, Orient DB and Apache Titan (Titan: Big Graph Data with Cassandra).

• Graph_database, Base_de_données_orientée_graphe

Articles:

• Elasticsearch vs Graph Database
• Getting Started with Apache Spark and Neo4j Using Docker Compose
• What are the differences between a Graph database and a Triple store ?
• Storing and querying RDF in Neo4j

http://neo4j.com/

Neo4j Community Edition : GPL v3 license, About Neo4j Licenses

examples:

• Graph your Network (Twitter) - avec les queries utilisées.
• OSCON Twitter Graph - Using the UNWIND clause we are able to pivot a collection
• mneedham/neo4j-twitter example en Python. Avec la structure des données (twitter).

http://titan.thinkaurelius.com/

license: 30 day trial

https://www.elastic.co/fr/downloads/graph

Cypher_(langage)

OpenCypher, une initiative de Neo4j et d'autres contributeurs vise à étendre l'emploi de Cypher à d'autres base de données orientées graphe3

http://www.opencypher.org/

Autre langage déclaratif pour les requêtes sur des données orientées graphe

https://spark.apache.org/graphx/

http://giraph.apache.org/

Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper

/informatique/javascript/sigmajs

http://sigmajs.org/

Plugin sigma.neo4j.cypher provides a simple function, sigma.neo4j.cypher(), that will run a cypher query on a neo4j instance, parse the response, eventually instantiate sigma and fill the graph with the graph.read() method.

Plugin sigma.parsers.gexf provides a single function, sigma.parsers.gexf(), that will load a GEXF encoded file, parse it, and instantiate sigma.