Coba jelasin Proyek-proyek graph database dari Graph database dong

Berikut adalah daftar sejumlah proyek graph database yang terkenal:

The following table compares the features of the above graph databases.

Angrapa  - graph package in Hama , a bulk synchronous parallel (BSP) platform

Apache Hama  - a pure BSP(Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms.

Bigdata  - A RDF/graph database capable of clustered deployment. Bigdata supports high availability (HA) mode , embedded mode , single server mode  and has available commercial licenses . As of version 1.3.1, it supports the Blueprints API  and Reification Done Right (RDR) .

Faunus  - a Hadoop-based graph computing framework that uses Gremlin as its query language. Faunus provides connectivity to Titan, Rexster-fronted graph databases, and to text/binary graph formats stored in HDFS. Faunus is developed by Aurelius .

FlockDB - an open source distributed, fault-tolerant graph database based on MySQL and the Gizzard framework for managing Twitter-like graph data (single-hop relationships) FlockDB on GitHub .

Giraph  - a Graph processing infrastructure that runs on Hadoop (see Pregel).

GraphBase  - Enterprise Edition supports embedding of callable Java Agents within the vertices of a distributed graph.

GoldenOrb  - Pregel implementation built on top of Apache Hadoop

GraphLab  - A framework for machine learning and data mining in the cloud

GraphX  - GraphLab built on the Spark  cluster computing system. Dr. Joseph Gonzalez is the project lead, the creator of GraphLab.

HipG  - a library for high-level parallel processing of large-scale graphs. HipG is implemented in Java and is designed for distributed-memory machine

IBM System G Graph Analytics Toolkit  - A comprehensive graph analytics library consisted of network topological analysis tools, graph matching and search tools, and graph path and flow tools. It has been applied to various use cases and industry solutions.

InfiniteGraph  - a commercially available distributed graph database that supports parallel load and parallel queries.

JPregel  - In-memory java based Pregel implementation

KDT  - An open-source distributed graph library with a Python front-end and C++/MPI backend (Combinatorial BLAS ).

OpenLink Virtuoso - the shared-nothing Cluster Edition supports distributed graph data processing.

Oracle Spatial and Graph  - loading, inferencing, and querying workloads are automatically and transparently distributed across the nodes in an Oracle Real Application Cluster, Oracle Exadata Database Machine, and Oracle Database Appliance.

Phoebus  - Pregel implementation written in Erlang

Pregel - Google's internal graph processing platform, released details in ACM paper.

Powergraph  - Distributed graph-parallel computation on natural graphs.

PowerLyra  - A distributed graph analytics based on GraphLab using differentiated graph computation and partitioning on skewed (e.g. power-law and bipartite) graphs (dynamically applying different computation and partition strategies for different vertices).

Cyclops  - A computation and communication efficient graph processing system with significantly low communication cost.

Imitator  - A reliable distributed graph processing system with replication-based fault-tolerance.

Sedge  - A framework for distributed large graph processing and graph partition management (including an open source version of Google's Pregel)

Signal/Collect  - a framework for parallel graph processing written in Scala

Sqrrl Enterprise - distributed graph processing utilizing Apache Accumulo and featuring cell-level security, massive scalability, and JSON support

Titan  - A distributed, disk-based graph database developed by Aurelius .

Trinity  - Distributed in-memory graph engine under development at Microsoft Research Labs.

Parallel Boost Graph Library (PBGL)  - a C++ library for graph processing on distributed machines, part of Boost framework.

Mizan  - An optimized Pregel clone that can be deployed easily on Amazon EC2, local clusters, stand-alone Linux systems and supercomputers (IBM BlueGene/P). It utilizes runtime graph repartitioning between iterations to provide dynamic load balancing for better algorithm performance.

Weaver  - A fast and scalable graph store designed specifically for dynamically-changing graphs