Wednesday, 5/23/2007
11:00 AM - 11:30 AM
Level: Product/Service Offering

RDBMS-based Data warehouses cannot provide real-time BI because relational technology poorly addresses schema evolution, graph-oriented data manipulation, and combined data/metadata queries. Persistent RDF triple-stores offer a new way to manage business analytics in the areas relational-technology fails. Unfortunately, many first-generation triple-stores fail to scale beyond toy problems in both speed and memory. Nor do they provide enterprise-ready tools for transactions, concurrency or enterprise-integration. This talk introduces Franz Inc's next-generation technology: AllegroGraph - the world's fastest and most-scalable graph database. AllegroGraph loads NTriple files at 20-30K triples/sec and telecom data at 40-50K triples/sec. It can load and index 10-billion-triple databases on standard 64-bit hardware. Furthermore, we are partnering with others to add features Business Analysts expect such as SPARQL queries, statistical data mining and full description logic.

Jans Aasman started out as an experimental and cognitive psychologist. He earned his Ph.D in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004 he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans joined Franz Inc. in 2004, and is currently its Director of Engineering.