Availability : Open Source.

Written in : Java, Scala, Ruby.

It manages wide and shallow network graphs through the characteristics of an open source, distributed, fault-tolerant graph database.

It stores relationships among users, which has used by Twitter.

It attempts to solve little problems, hence it is simpler than other graph databases such as neo4j

It has designed especially for websites, supporting on-line, low-latency, high throughput environments and scaling horizontally.

High rate of add/update/remove operations.

Potientially complex set arithmetic queries.

Paging through query result sets containing millions of entries.

Ability to “archive” and later restore archived edges.

Horizontal scaling including replication.

Online data migration.