Operational Database Management Systems
Uplevel Big Data analytics with HPE Vertica – Part 1: Graph in a relational database? Seriously? by Walter Maguire, Chief Field Technologist, HPE Big Data Group A graph is born One...
Review of Neo4j GraphDay – Stockholm Neo4j Tuesday, 17 March 2015 from 09:00 to 17:00 (CET) Stockholm, Sweden Join us (LINK) for a one-day event and get complimentary graph database training and one2one advice...
Creating Business Value through Data Relationships White Paper Neo4j— February 2015 Where does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of relationships in your data....
Embracing the evolution of Graphs by Stephen Dillon, Data Architect, Schneider Electric. –January 2015. Graph database technologies are poised to become even more influential in both the Big Data and Analytics communities. There is...
Traversing Trillions of Edges in Real-time: Graph Exploration on Large-scale Parallel Machines Fabio Checconi, Fabrizio Petrini High Performance Analytics Department IBM TJ Watson, Yorktown Heights, NY 10598 Email: {fchecco,fpetrin}@us.ibm.com Abstract—The world of Big Data...
An empirical comparison of graph databases Salim Jouili,Eura Nova R&D, 1435 Mont-Saint-Guibert, Belgium Valentin Vansteenberghe, Universite Catholique de Louvain, 1348 Louvain-La-Neuve, Belgium Abstract—In recent years, more and more companies provide services that can not...
This section contains resources related to AllegroGraph and Gruff. AllegroGraph, from Franz Inc, is a high-performance, ACID, and scalable semantic Graph Database. AllegroGraph’s Activity Recognition capabilities provides a powerful means to aggregate and analyze...
TinkerPop: an open-source graph software group, provide a stack of technologies (called the TinkerPop stack). The stack starts just above the database layer (just above the graph persistence layer) and connects to various graph...