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.
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.
Neo Technology has announced the general availability of Neo4j 2.0, coming with a new graph browser, node labels, an optional schema and an improved Cypher.
Peter Bell shares insights on the latest trends in NoSQL, a rapidly evolving category of database storage that covers a wide variety of solutions.
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.
Neo4j has announced Neo4j 1.9 GA and Neo4j 2.0 M03. A new project called Neo4j Mobile for Android intends to bring a graph database to smartphones and tablets.
ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.
Rod Johnson, the original creator of the Spring Framework, has announced that he will be leaving SpringSource and VMware to "pursue other interests". We spoke to him to find out more about his plans, and co-founder of the Spring Framework Project, Juergen Hoeller, to discuss VMware's priorities for Spring going forward.
PostgreSQL and Neo4J, a relational and a graph database respectively, are among the latest data stores taking the route to the cloud.
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.
JasperSoft announces reporting support for Hadoop and leading NoSQL 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.
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.