* AllegroGraph is 100 percent ACID, supporting Transactions: Commit, Rollback, and Checkpointing. * Full and Fast Recoverability * 100% Read Concurrency, Near Full Write Concurrency * Online Backups, Point-in-Time Recovery, Replication, Warm Standby * Dynamic and Automatic Indexing – All committed triples are always indexed (7 indices) * Advanced Text Indexing – Text indexing per predicate * SOLR and MongoDB Integration * SPIN support (SPARQL Inferencing Notation). The SPIN API allows you to define a function in terms of a SPARQL query and then call that function in other SPARQL queries. These SPIN functions can appear in FILTERs and can also be used to compute values in assignment and select expressions. * All Clients based on REST Protocol – Java Sesame, Java Jena, Python, C#, Clojure, Perl, Ruby, Scala, and Lisp clients * Completely multi-processing based (SMP) – Automatic Resource Management for all processors and disks, and optimized memory use. See the performance tuning guide here, and server configuration guide here * The AllegroGraph RDF server can be scripted using the JavaScript API * JavaScript-based interface (JIG) for general graph traversal * Soundex support - Allows Free text indexing based on phonetic pronunciation * User-defined Indices - fully controllable by system administrator

* Data Storage - Native storage structure with index-free adjacency results in faster transactions and processing. * Query Performance - Native processing ensures low latency and real-time performance, regardless of the number or depth of relationships. * Transaction Support - ACID transactions ensure data is fully consistent and reliable around the clock – perfect for always-on global enterprise applications. * Processing at Scale - Native graph model inherently scales for pattern-based queries. Scale out architecture maintains data integrity via replication. Massive scale up possibilities with IBM POWER8 and CAPI Flash systems.