Titan 1.0: Scalable real time and analytic graph queries
Titan is a scalable graph database build on top of Apache Cassandra that supports both real time and analytic graph queries across distributed clusters. This talk focuses on the recently released Titan 1.0 and the new features it introduces. Titan implements the most recent version of the popular Apache Gremlin graph query language through a custom rewrite engine and query optimizer to efficiently execute deep traversal queries. Graph analytics and global breadth-first execution of Gremlin queries is executed by Apache Spark through the Cassandra-Spark connector. These features are demonstrated on a social use case to highlight how Titan can deliver relationship value with little development effort.
Matthias Broecheler - DataStax
Matthias Broecheler is the lead developer of the open source Titan distributed graph database and Director of Engineering at DataStax responsible for DSE graph. Most recently, Matthias was managing partner of Aurelius. Matthias has researched large scale graph database systems for more than 7 years. His award-winning research includes high performance index structures and query answering algorithms for graph structured data. In addition, he developed the Probabilistic Similarity Logic (PSL) machine learning framework to analyze and reason about multi-relational data. Matthias holds a Ph.D. in Computer Science from the University of Maryland.
