InfoQ Homepage Graph Database Content on InfoQ
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Trinity: Microsoft Research’s Hypergraph Database
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.
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A Case for Graph Databases
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.
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Neo4j: Java-based NoSQL Graph Database
After several years of development, the developers from NeoTechnology have released version 1.0 of Neo4j, a Java-based graph database which follows the property graph datamodel. InfoQ spoke with NeoTechnology COO Peter Neubauer to learn more about the current Neo4j release and what it offers to developers.