Graph database: Perbedaan antara revisi
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▲Didalam dunia ilmu komputer, graph database adalah database yg menggunakan struktur data graph yg memiliki komponen node, edge dan properties unutk merepresentasikan penyimpanan data. Graph database menyediakan index-free adjacency yang artinya setiap elemen berisi direct pointer ke adjacent element dan tidak membutuhkan lagi suatu index lookups.
Berikut struktur dari graph database:00
[[File:GraphDatabase PropertyGraph.png|center|frame|Graph database]]
Setiap simpul melambangkan suatu entitas seperti orang, bisnis, akun, atau item lain yang hendak dilacak.
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Properties are pertinent information that relate to nodes. For instance, if "Wikipedia" were one of the nodes, one might have it tied to properties such as "website", "reference material", or "word that starts with the letter 'w'", depending on which aspects of "Wikipedia" are pertinent to the particular database.
Edges are the lines that connect nodes to nodes or nodes to properties and they represent the relationship between the two. Most of the important information is really stored in the edges. Meaningful patterns emerge when one examines the connections and interconnections of nodes, properties, and edges.
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Graph databases are a powerful tool for graph-like queries, for example computing the shortest path between two nodes in the graph. Other graph-like queries can be performed over a graph database in a natural way (for example graph's diameter computations or community detection).
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Berikut adalah daftar sejumlah proyek graph database yang terkenal :
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| [[AllegroGraph]] || 4.14.1 (September 2014) || [[:en:Proprietary software|Proprietary]], Clients - Eclipse Public License v1 || [[.Net (programming language)|C#]], [[:en:C (programming language)|C]], [[:en:Common Lisp (programming language)|Common Lisp]], [[Java (programming language)|Java]], [[Python (programming language)|Python]] || A [[Resource Description Framework|RDF]] and graph database.
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| [http://www.arangodb.org ArangoDB] || 2.2.1 (July 2014) || [[:en:Apache 2 License|Apache 2]] || [[C (programming language)|C]], [[C++]] & [[Javascript]] || A distributed multi-model [[Document-oriented database|document store]] and graph database. Highly scalable supporting ACID and full transaction support. Including a built-in graph explorer.
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| [http://www.bigdata.com/ Bigdata] || 1.3.1 (May 2014) || [[GPLv2]], evaluation license, or commercial license. || [[Java (programming language)|Java]] || A RDF/graph database capable of clustered deployment. Bigdata supports [http://wiki.bigdata.com/wiki/index.php/HAJournalServer high availability (HA) mode], [http://wiki.bigdata.com/wiki/index.php/NanoSparqlServer#Embedded_.28using_jetty.29 embedded mode], [http://wiki.bigdata.com/wiki/index.php/NanoSparqlServer#Servlet_Container_.28Tomcat.2C_etc.29 single server mode]. As of version 1.3.1, it supports the [http://blog.bigdata.com/?p=711 Blueprints API] and [http://blog.bigdata.com/?p=716 Reification Done Right (RDR)].
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| [http://bitbucket.org/lambdazen/bitsy Bitsy] || 1.5.0 || [[:en:Affero General Public License|AGPL]], Enterprise license (unlimited use, annual/perpetual) || [[:en:Java (programming language)|Java]] || A small, embeddable, durable in-memory graph database
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| [http://www.brightstardb.com BrightstarDB] || || [[MIT License]] <ref>http://brightstardb.com/blog/2013/02/brightstardb-goes-open-source/</ref> || [[:en:C Sharp (programming language)|C#]] || An embeddable NoSQL database for the .NET platform with code-first data model generation.
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| [https://github.com/google/cayley Cayley] || 0.4.0 (August 2014) || [[:en:Apache 2 License|Apache 2]] || [[Go_(programming_language)|Go]] || An open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph.
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| [[DEX (Graph database)|DEX/Sparksee]]<ref>http://sparsity-technologies.com#sparksee</ref> || 5.1.0 (2014) || evaluation, research or development use (free) / commercial use || [[C++]] || A high-performance and scalable graph database management system from [http://sparsity-technologies.com Sparsity Technologies], a technology transition company from [http://www.dama.upc.edu/technology-transfer/dex DAMA-UPC]. Its main characteristics is its query performance for the retrieval & exploration of large networks. [[mobile database|Sparksee 5 mobile]] is the first graph database for mobile devices.
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| [http://filament.sourceforge.net/ Filament] || || [[:en:BSD licenses|BSD]] || [[:en:Java (programming language)|Java]] || A graph persistence framework and associated toolkits based on a navigational query style.
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| [http://graphbase.net/ GraphBase] || 1.0.03a || [[:en:Proprietary software|Proprietary]] || [[:en:Java (programming language)|Java]] || A customizable, distributed, small-footprint graph store with a rich tool set from [http://factnexus.com/ FactNexus].
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| Graphd || || [[Proprietary software|Proprietary]] || || The proprietary back-end of [[Freebase]].
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| [http://research.microsoft.com/en-us/projects/ldg Horton] || || Proprietary|| C#|| A graph database from [http://research.microsoft.com/en-us/labs/xcg Microsoft Research Extreme Computing Group (XCG)] based on the cloud programming infrastructure [http://research.microsoft.com/en-us/projects/orleans/default.aspx Orleans].
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| [http://www.hypergraphdb.org HyperGraphDB] || 1.2 (2012) || [[LGPL]] || [[:en:Java (programming language)|Java]] || A graph database supporting generalized [[hypergraph]]s where edges can point to other edges.
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| [http://systemG.research.ibm.com/db-nativestore.html IBM System G Native Store] || [http://systemG.research.ibm.com/db-nativestore.html v1.0] (July 2014) || Proprietary || [[C (programming language)|C]], [[C++]], [[Java (programming language)|Java]] || A high performance graph store using natively implemented graph data structures and primitives for achieving superior efficiency. IBM System G Native Store can handle various simple graphs, property graphs, and RDF graphs, in terms of storage, analytics, and visualization. Native Store is accessible from most programming languages by providing APIs in C++, Java (Tinkerpop/Blueprints), and Python. Its gShell graph command collection and the Native Store REST APIs provide language-free interfaces.
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== Pemrosesan graf yang didistribusi ==
* [http://wiki.apache.org/hama/GraphPackage Angrapa] - graph package in [http://incubator.apache.org/hama/ Hama], a bulk synchronous parallel ([[Bulk Synchronous Parallel|BSP]]) platform
* [http://incubator.apache.org/hama/ 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.
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* [https://github.com/platinummonkey/rexpro-python Rexpro-Python] - a Titan Rexpro connection handler for Python.
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* [[NoSQL]]
* [[Document-oriented database]]
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* [[RDF Database]]
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{{Reflist}}
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* [http://www.slideshare.net/ahzf/nosql-frankfurt-2010-the-graphdb-landscape-and-sones NoSQL Frankfurt 2010 - The GraphDB Landscape and sones]
* [http://highscalability.com/paper-graph-databases-and-future-large-scale-knowledge-management Graph Databases and the Future of Large-Scale Knowledge Management]
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