JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is …

Installation Running JanusGraph inside a Docker container For virtualization and easy access, JanusGraph provides a Docker image. Docker makes it easier to run servers and clients on a single …

JanusGraph’s transactional capacity scales with the number of machines in the cluster and answers complex traversal queries on huge graphs in milliseconds. Support for global graph analytics and …

Basic Usage This section offers a very short introduction to Gremlin's feature set. For a closer look at the topic, refer to Gremlin Query Language. The examples in this section make extensive use of a toy …

Architectural Overview JanusGraph is a graph database engine. JanusGraph itself is focused on compact graph serialization, rich graph data modeling, and efficient query execution. In addition, …

JanusGraph is distributed with 3 supporting backends: Apache Cassandra, Apache HBase, and Oracle Berkeley DB Java Edition. Note that BerkeleyDB JE is a non-distributed database and is typically …

A JanusGraph configuration specifies which components JanusGraph should use, controls all operational aspects of a JanusGraph deployment, and provides a number of tuning options to get …

Schema and Data Modeling Each JanusGraph graph has a schema comprised of the edge labels, property keys, and vertex labels used therein. A JanusGraph schema can either be explicitly or …

JanusGraph Server JanusGraph uses the Gremlin Server engine as the server component to process and answer client queries and extends it with convenience features for JanusGraph. From now on, …

JanusGraph Server 8. Deployment Scenarios 9. ConfiguredGraphFactory 10. Things to Consider in a Multi-Node JanusGraph Cluster 11. Indexing for Better Performance 12. Transactions 13. …