High performance graph database using cache, cloud, and standards

Bigdata(R) is a high performance open source graph database platform. Written in Java, bigdata manages 50 billion edges on one machine and scales horizontally across a cluster. You will learn why RDF and SPARQL provide a great basis for a standards compliant graph database, how to efficiently manage link attributes in bigdata, why graph database APIs can be a bottleneck, and how to get blazing performance out of a graph database using SPARQL and a maintained DESCRIBE cache.

• Open source, standards compliant graph database
• Single machine and clustered deployments
• Link attributes and hyperedges
• High level query
• Fast vertex cache
• Blazing performance

Mr. Bryan B. Thompson is the co-founder and Chief Scientist of SYSTAP, LLC and the chief architect of bigdata®. SYSTAP provides solutions that bridge the gap between real-world, mission-critical customer problems and innovative research, emerging technologies, and open-source software. For several years, Mr. Thompson has focused on assessing and applying Semantic Web technologies to support semantics-based federation (mashups) at scale (10s of billions of triples). Mr. Thompson is the founder and lead author of the bigdata® open source project, which is developing a scale-out database and computing fabric. He was a member of the W3C RDF Data Access Working Group and the XML Topic Maps working group and is an advocate for the role of provenance in metadata standards.