* GraphBase is designed to be distributed in true "Cloud" fashion. Each server "Node" is autonomous, but aware of its obligations to its peers. Communication between nodes is asynchronous, and sophisticated cacheing and queuing strategies allow a group of GraphBase Nodes to accommodate the latency and bandwidth issues of a geographically-distributed cloud. * GraphBase lets you embed simple, compressed, highly-efficient, vertex-focused data stores. Think "all the phone calls or transactions for a person". It's strategy so effective that it permits a level of real-time big data analysis that's difficult - and expensive - to achieve with any other technology. * GraphBase comes with visual tools that further simplify working with graphs. Tools that let you visualize your graphs and queries - and that let you use drag and drop to create them. * GraphBase lets you store objects directly within vertices. Enterprise configurations allow these objects to become first-class citizens within GraphBase, and "Agent" mechanisms allow their logic to be distributed amongst GraphBase server Nodes. * GraphBase dramatically simplifies the management of graph-structured data with its "graph-focused" tools paradigm. In GraphBase, the graph is the unit-of-work - not the vertex.

* Elastic and linear scalability for a growing data and user base. * Data distribution and replication for performance and fault tolerance. * Multi-datacenter high availability and hot backups. * Support for ACID and eventual consistency. * Support for various storage backends: - Apache Cassandra - Apache HBase - Oracle BerkeleyDB * Support for global graph data analytics, reporting, and ETL * Support for geo, numeric range, and full-text search via ElasticSearch, Solr, and Lucene * Native integration with the TinkerPop graph stack