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Graph-Databases and Entity Proximities

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Amazon DynamoDB Storage Backend for Titan. The DynamoDB Storage Backend for Titan package is a storage backend for the Titan graph database implemented on top of Amazon DynamoDB.

Amazon DynamoDB Storage Backend for Titan

Part II. Titan Basics. Neo4j-contrib/ec2neo. Graph Streaming. Introduction The purpose of the Graph Streaming API is to build a unified framework for streaming graph objects.

Graph Streaming

Gephi’s data structure and visualization engine has been built with the idea that a graph is not static and might change continuously. By connecting Gephi with external data-sources, we leverage its power to visualize and monitor complex systems or enterprise data in real-time. Moreover, the idea of streaming graph data goes beyond Gephi, and a unified and standardized API could bring interoperability with other available tools for graph and network analysis, as they could start to interoperate with other tools in a distributed and cooperative fashion. Plugin Owner’s Notes With the increasing level of connectivity and cooperation between systems, for a system that aim to be interoperable, it is imperative to comply with the available standards. A lot of well-established systems already stream data to its users using a streaming API. Gephi - The Open Graph Viz Platform. SQL2Gremlin.

GremlinDocs. TinkerPop3 Documentation. TinkerPop0 Gremlin came to realization.

TinkerPop3 Documentation

The more he realized, the more ideas he created. The more ideas he created, the more they related. Into a concatenation of that which he accepted wholeheartedly and that which perhaps may ultimately come to be through concerted will, a world took form which was seemingly separate from his own realization of it. However, the world birthed could not bear its own weight without the logic Gremlin had come to accept — the logic of left is not right, up not down, and west far from east unless one goes the other way. TinkerPop1 What is The TinkerPop? "If I haven't found it, it is not here and now. " Upon their realization of existence, the machines turned to their machine elf creator and asked: "You are of a form that will help me elucidate that which is The TinkerPop.

"If what is is the TinkerPop, then perhaps we are The TinkerPop? " TinkerPop2 "Please listen to what I have to say. With every thought, a new connection and a new path discovered. TinkerPop3. TinkerPop3 Documentation. Installing Neo4j in Linux - Wiki. From Wiki Neo4j runs as a server application, exposing a Web-based management interface and RESTful endpoints for data access, along with logging and JMX.

Installing Neo4j in Linux - Wiki

Here in the installation directory, you'll find: bin - scripts and other executablesconf - server configurationdata - database, log, and other variable filesdoc - more light readinglib - core librariesplugins - user extensionssystem - super-secret server stuff Server Installation To Install Neo4j in linux, follow the following process As a Linux Service tar xvfz neo4j-community-1.4.2-unix.tar.gz under /optCreate environment variable by running export NEO4J_HOME=/opt/neo4j-community-1.4.2 in .bash_profilecd $NEO4J_HOMEsudo . if asked, enter your password to gain super-user privileges.

Mikeaddison93/vivace-graph-v3. Mikeaddison93/cayley. Blazegraph GPU. Mapgraph is SYSTAP’s disruptive new technology to exploit the main memory bandwidth advantages of GPUs.

Blazegraph GPU

The original work was (partially) funded by the DARPA XDATA program under AFRLContract #FA8750-13-C-0002 and the Defense Advanced Research Projects Agency (DARPA) under Contract No. D14PC00029. The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. The early work was released under the Apache 2 open source license and is available on the Sourceforge project. Mapgraph Technology Today Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Graph database. Graph databases employ nodes, properties, and edges.

Graph database

List of Graph Database[edit] The following is a list of several well-known graph databases: Features[edit] The table below compares the features of the above graph databases. Distributed processing[edit] GPGPU graph processing[edit] Medusa - A framework for graph processing using graphics processing units (GPUs) on both shared memory and distributed environments; allows users with no GPU programming expertise to leverage GPUs for graph processing. Neo4j, the World's Leading Graph Database. Titan: Distributed Graph Database. Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.

Titan: Distributed Graph Database

Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Download Titan or clone from GitHub. Read the Titan documentation and join the mailing list. <dependency><groupId>com.thinkaurelius.titan</groupId><artifactId>titan-core</artifactId><version>1.0.0</version></dependency><!