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  • Neo4j 3.0 Released with Binary Communication Protocol and Standardised Drivers

    Today at GraphConnect Europe 2016, Neo Technology announced the release of Neo4j 3.0, which includes a new binary protocol for transmitting data between server and client, and a new set of standardised drivers for interacting with the database, along with stored procedure support and higher performance and capacity. InfoQ spoke to Neo Technology to find out more.

  • Neo4j Launches Open Source Graph Query Language openCypher

    Neo4j Graph NoSQL database team launches open source graph query language called openCypher. Neo Technology, the company behind the graph database, announced last week at GraphConnect Conference, the launch of the open source project that will be available to technology providers as a common language for querying graph data.

  • Neo4j 2.3 Supports In-Memory Page Cache, Docker Tools and IBM POWER8 Integration

    Latest version of Graph NoSQL database Neo4j supports in-memory page cache, Docker tools, enhanced query planner and IBM POWER8 integration. Neo4j team announced last week the release of version 2.3 which also supports query development with graph and text string search.

  • Catching up with Neo4j

    Neo4j, the open source graph database project has doubled its contributor community in the past six months, which has enabled significant improvements in the product. InfoQ caught up with Emil Efrem after his keynote titled "Graph All the Things" to understand the current and planned features for the open source version of Neo4j.

  • Batch Updates Solve Long-standing Issue with Core Data

    Core Data batch updates, introduced in iOS 8 and OS X Yosemite, aim at fixing a long-standing limitation of the Core Data stack, as developers had been asking for many years. Let's review the problem that batch updates solve, how they work, and an alternative to them involving a rethinking of data normalization strategy.

  • Cayley: A Graph Engine Inspired by Google’s Knowledge Graph

    Barak Michener, a Software Engineer working for the Google Knowledge Team, has open sourced a personal project called Cayley, a graph database inspired by Freebase and the Google Knowledge Graph, the later powering Google’s search engine. Freebase is a collection of free structured data, currently at ~2.7B facts and counting, and an API for querying this data.

  • Graph Processing Using Big Data Technologies

    Processing extremely large graphs has been and remains a challenge, but recent advances in Big Data technologies have made this task more practical. Tapad, a startup based in NYC focused on cross-device content delivery, has made graph processing the heart of their business model using Big Data to scale to terabytes of data.

  • Spark Officially Graduates From Apache Incubator

    Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.

  • Community-Driven Research: NoSQL Database Adoption Trends

    InfoQ's research initiative continues with an 15th question about: "NoSQL Database Adoption Trends". This is a new service we hope will provide you with up-to-date & bias-free community-based insight into trends & behaviors that affect enterprise software development. Unlike traditional vendor/analyst-based research, our research is based on answers provided by YOU.

  • Trends in the latest Technology Radar

    ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.

  • MongoGraph Brings Semantic Web Features to MongoDB Developers

    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.

  • Graph Database Neo4j Updates Licensing and Enhances Usability

    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.

  • 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.

  • 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.

  • 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.

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