* 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

* Data is kept in shared memory by default, making all the data accessible to separate processes. * Each database record is a tuple of N elements, encoded in WhiteDB-s simple compact format. You can store both conventional datatypes and direct pointers to records: the latter enables highly efficient traversal of complex data. * indexes (T-tree) * persistence through logging and memory dumps * concurrency through locking * limited queries (conjunctive only) * CSV and RDF support * Python bindings * command line utility tools