- Natural language interface. - Easy integration of structured and unstructured data (built-in named entity linking). - Performs semantic approximations. - NoSQL open source database. - Compliance with Semantic Web standards (RDF/SPARQL). - Scalable for large Knowledge Graphs. -Multi-lingual support.

* 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