Neo4J: Get Started
Get Started Taking the first steps with Neo4j? Read our introductory tutorials and developer guides that cover all areas of your development work. Your First Steps Getting started with Neo4j is easy. Take your...
Category: Graphs and Data Stores – Blog Posts
Getting Started with the Microsoft Concept Graph in Neo4j
By Cristina Escalante, COO of SilverLogic | March 8, 2017 Introduction What does the study of concepts (or categories, depending on your field of study) tell us about the human mind? A result of the...
cognoma- puts machine learning in the hands of cancer biologists.
cognoma : BY Daniel Himmelstein, Postdoctoral Fellow at University of Pennsylvania, in collaboration with the DataPhilly and Code for Philly meetups. This project puts machine learning in the hands of cancer biologists. BUILD A CLASSIFICATION ALOGRITHM...
Hetionet: an integrative network of disease
Daniel Himmelstein is the creator of Hetionet – an integrative network of biology, disease, and pharmacology. ‘hetnet’ is actually a word coined by Daniel to describe networks with many types of relationships Hetionet is a hetnet...
Announcing Neo4j in the Microsoft Azure Marketplace [Azure Series, Part I]
By Igor Borojevic, Director of Product Management | May 10, 2017 We are excited to announce the availability of Neo4j in the Microsoft Azure Marketplace. Neo4j is a native graph database that stores data as graphs rather than...
How to Deploy Neo4j on Microsoft Azure, a Step-by-Step Guide [Azure Series, Part II]
By Igor Borojevic, Director of Product Management | May 31, 2017 In the first post of this series covering Neo4j on Microsoft Azure, we announced the availability of Neo4j in the Azure Marketplace. Today, we’ll go...
XAP: In-Memory Data Grid
XAP is an In-Memory Data Grid that scales your digital business performance by orders of magnitude. Our open platform provides microsecond-scale transaction processing, data scalability and powerful event-driven workflows. XAP enables your entire app...
LDBC Developer Community: Benchmarking Graph Data Management Systems
LDBC develops all its benchmarks in open source and invites the developer community to participate. Either by downloading, compiling and using the benchmark data generators and drivers, or by reporting on results and issues in...
Social Network Benchmark
The Social Network Benchmark consists in fact of three distinct benchmarks on a common dataset, since there are three different workloads. Each workload produces a single metric for performance at the given scale and a price/performance metric...
Graphalytics benchmark
The Graphalytics benchmark is an industrial-grade benchmark for graph analysis platforms such as Giraph. It consists of six core algorithms, standard datasets, synthetic dataset generators, and reference outputs, enabling the objective comparison of graph analysis platforms. The design of the benchmark process...