Justin Dearing presents a brief introduction to MongoDB, and focuses on interacting with it in Mono via the official 10gen driver. Techniques for handling business logic in application code, such as LINQ are discussed. This is a very code centric talk.
MongoGraph from AllegroGraph brings semantic web features to MongoDB developers. They implemented a MongoDB interface to AllegroGraph database to give Javascript programmers both joins and the semantic web capabilities. InfoQ spoke with AllegoGraph CEO Jans Aasman about this new approach and how it helps the NoSQL developers.
Neo Technology has released version 1.3 GA (General Availability) of Neo4j. This release updates Neo4j's licensing and adds a number of features. The Community edition is now licensed under GPLv3, the same license as MySQL.
MS Research has begun working on its own graph database, Trinity. Graph databases store data in terms of nodes and edges instead of rows and columns, making them quite effective for loosely and arbitrarily connected data. Hypergraphs extend this by allowing one edge to connect multiple nodes. Potentially uses for this included social networks, movie recommendations, and related product searches.
We talk with Daniel Kirstenpfad, founder and CTO of sones GmbH, about Graph Databases and how they can better model some types of data such as relations in a social networking application. A graph database can offer performance benefits over other types of databases because they explicitly represent a graph and are organized to have index free adjacency.
Michael Hunger discusses graph databases and the need for them in the larger context of NoSQL data stores, introducing Spring Data, Neo4j, and Spring Data Neo4j.
Rick Bullotta and Emil Eifrem discuss how to use graph databases to model the real world, people, systems and things, talking advantage of the relationships between various data elements.
Borislav Iordanov presents the architecture of HyperGraphDB, a special type of store based on hypergraphs – graphs with edges pointing to an arbitrary number of nodes and to other edges, comparing it with other graphs databases and its relationship to other NoSQL stores.
Emil Eifrem explains graph databases, what domains they fit well, and the state of Neo4j. Also: how graph databases stack up against RDBMs.
