In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
PostgreSQL and Neo4J, a relational and a graph database respectively, are among the latest data stores taking the route to the cloud.
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.
NoSQL databases offer alternative data storage options for storing unstructured data compared to traditional relational databases. Though the NoSQL databases have been getting a lot of attention lately, the security aspects of storing and accessing NoSQL data haven't been given much emphasis. This article focuses on the security considerations and best practices in accessing the NoSQL databases.
Ian Robinson introduces Neo4J, a graph database, discussing how it can be used to store and work with data associated with Doctor Who.
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.
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.
Emil Eifrem explains graph databases, what domains they fit well, and the state of Neo4j. Also: how graph databases stack up against RDBMs.
In this interview conducted at the SpringOne 2GX conference, Rod Johnson talks about the new advancements SpringSource is bringing to the enterprise Java space, including new cloud options. Johnson discusses open-source Java in general, including the flap over the direction of OpenJDK and Apache Harmony. And he delves into the new Code2Cloud effort from SpringSource and Tasktop, and much more.
With Spring Data, the ever popular Spring Framework has cultivated a new patch of ground, bringing Big Data and NOSQL technology like Neo4j to enterprise developers. This guide introduces you to Spring Data Neo4j, using the fast, powerful and scalable graph database Neo4j to enjoy the benefits of having good relationships in your data.
