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Graphs, Graphs, Graphs, …

Last week, Datablend open-sourced two new Tinkerpop Blueprints implementations: blueprints-mongodb-graph and blueprints-datomic-graph. Tinkerpop is an open source project that provides an entire stack of technologies within the Graph Database space. At the core of this stack is the Blueprints framework. Blueprints can be considered as the JDBC of Graph Databases. By providing a collection of

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Back To The Future with Datomic

At the beginning of March, Rich Hickey and his team released Datomic. Datomic is a novel distributed database system designed to enable scalable, flexible and intelligent applications, running on next-generation cloud architectures. Its launch was surrounded with quite some buzz and skepticism, mainly related to its rather disruptive architectural proposal. Instead of trying to recapitulate

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The joy of algorithms and NoSQL revisited: the MongoDB Aggregation Framework

[information] Part 1 of this article describes the use of MongoDB to implement the computation of molecular similarities. Part 2 discusses the refactoring of this solution by making use of MongoDB’s build-in map-reduce functionality to improve overall performance. Part 3 finally, illustrates the use of the new MongoDB Aggregation Framework, which boosts performance beyond the

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Visualizing RDF Schema inferencing through Neo4J, Tinkerpop, Sail and Gephi

Last week, the Neo4J plugin for Gephi was released. Gephi is an open-source visualization and manipulation tool that allows users to interactively browse and explore graphs. The graphs themselves can be loaded through a variety of file formats. Thanks to Martin Škurla, it is now possible to load and lazily explore graphs that are stored

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The (non-)sense of NoSQL O(R)M frameworks

NoSQL seems to be ready for prime time. Several NoSQL companies, including 10gen (MongoDB), DataStax (Cassandra) and Neo Technology (Neo4J), recently received millions in funding to expand their (commercial) NoSQL offerings. Even Oracle is now entering the already crowded NoSQL-space with its very own key-value NoSQL Database 11g. No doubt that this type of publicity

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The joy of algorithms and NoSQL: a MongoDB example (part 2)

[information] Part 1 of this article describes the use of MongoDB to implement the computation of molecular similarities. Part 2 discusses the refactoring of this solution by making use of MongoDB’s build-in map-reduce functionality to improve overall performance. [/information] In part 1 of this article, I described the use of MongoDB to solve a specific

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The joy of algorithms and NoSQL: a MongoDB example (part 1)

[information] Part 1 of this article describes the use of MongoDB to implement the computation of molecular similarities. Part 2 discusses the refactoring of this solution by making use of MongoDB’s build-in map-reduce functionality to improve overall performance. [/information] In one of my previous blog posts, I debated the superficial idea that you should own

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