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Graph database
Dari Wikipedia, ensiklopedia bebas
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Graph database (Basis data graf) dalam dunia ilmu komputer adalah basis data yang menggunakan struktur data graf yg memiliki komponen simpel (node), tepi (edge) dan atribut (properties) untuk merepresentasikan penyimpanan data. Basis data graf menyediaakan index-free adjacency, konsep yang memungkinkan penyimpanan dan Pemrosesan graf secara efisien.[1] Dalam sistem ini, setiap simpul langsung terhubung dengan simpul-simpul yang ada di sekitarnya tanpa perlu menggunakan indeks tambahan untuk mencari simpul-simpul tersebut. Artinya, hubungan antar simpul disimpan langsung di dalam simpul itu sendiri, sehingga akses ke simpul terrait bisa dilakukan secara cepas tanpa pencarían melalui indeks yang terpisah. Pendekatan ini sangat berguna dalam aplikasi yang membutuhkan performa tinggi, seperti rekomendasi atau analisis jaringan sosial.
Berikut struktur dari graph database:

Setiap simpul melambangkan suatu entitas seperti orang, bisnis, akun, atau item lain yang hendak dilacak.
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Sifat
Dibanding dengan relational database, graph database sering lebih cepat untuk himpunan data asosiatif, dan memetakan lebih langsung ke struktur aplikasi berorientasi objek (object-oriented application). Database ini dapat diskala lebih alamiah ke himpunan data lebih besar karena umumnya tidak membutuhkan operasi "join" yang mahal. Karena kurang tergantung dari skema kaku, mereka lebih cocok untuk dikelola secara ad hoc dan data yang berubah-ubah dengan skema yang terus diperbarui. Sebaliknya, relational database umumnya lebih cepat dalam mengerjakan operasi yang sama dengan jumlah elemen data yang lebih banyak.
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Proyek-proyek graph database
Ringkasan
Perspektif
Berikut adalah daftar sejumlah proyek graph database yang terkenal:
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Graph database features
Ringkasan
Perspektif
The following table compares the features of the above graph databases.
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Pemrosesan graf yang didistribusi
- Angrapa Diarsipkan 2016-12-30 di Wayback Machine. - graph package in Hama Diarsipkan 2012-06-18 di Wayback Machine., a bulk synchronous parallel (BSP) platform
- Apache Hama Diarsipkan 2012-06-18 di Wayback Machine. - 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 Diarsipkan 2012-03-10 di Wayback Machine. - A RDF/graph database capable of clustered deployment. Bigdata supports high availability (HA) mode Diarsipkan 2014-12-19 di Wayback Machine., embedded mode Diarsipkan 2014-12-19 di Wayback Machine., single server mode Diarsipkan 2014-12-19 di Wayback Machine. and has available commercial licenses Diarsipkan 2014-12-19 di Wayback Machine.. As of version 1.3.1, it supports the Blueprints API Diarsipkan 2014-12-19 di Wayback Machine. and Reification Done Right (RDR) Diarsipkan 2014-12-19 di Wayback Machine..
- Faunus Diarsipkan 2013-01-29 di Wayback Machine. - 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 Diarsipkan 2016-04-02 di Wayback Machine..
- 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 Diarsipkan 2017-01-16 di Wayback Machine..
- Giraph Diarsipkan 2013-03-29 di Wayback Machine. - a Graph processing infrastructure that runs on Hadoop (see Pregel).
- GraphBase Diarsipkan 2014-11-25 di Wayback Machine. - Enterprise Edition supports embedding of callable Java Agents within the vertices of a distributed graph.
- GoldenOrb Diarsipkan 2023-06-30 di Wayback Machine. - Pregel implementation built on top of Apache Hadoop
- GraphLab Diarsipkan 2011-10-27 di Wayback Machine. - A framework for machine learning and data mining in the cloud
- GraphX Diarsipkan 2022-12-21 di Wayback Machine. - GraphLab built on the Spark Diarsipkan 2023-07-03 di Wayback Machine. cluster computing system. Dr. Joseph Gonzalez is the project lead, the creator of GraphLab.
- HipG Diarsipkan 2013-06-03 di Wayback Machine. - 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 Diarsipkan 2015-02-26 di Wayback Machine. - 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 Diarsipkan 2023-06-01 di Wayback Machine. - a commercially available distributed graph database that supports parallel load and parallel queries.
- JPregel Diarsipkan 2013-01-27 di Wayback Machine. - In-memory java based Pregel implementation
- KDT Diarsipkan 2012-01-07 di Wayback Machine. - An open-source distributed graph library with a Python front-end and C++/MPI backend (Combinatorial BLAS Diarsipkan 2014-12-19 di Wayback Machine.).
- OpenLink Virtuoso - the shared-nothing Cluster Edition supports distributed graph data processing.
- Oracle Spatial and Graph Diarsipkan 2013-11-06 di Wayback Machine. - 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 Diarsipkan 2022-11-30 di Wayback Machine. - Pregel implementation written in Erlang
- Pregel - Google's internal graph processing platform, released details in ACM paper.
- Powergraph Diarsipkan 2014-02-09 di Wayback Machine. - Distributed graph-parallel computation on natural graphs.
- PowerLyra Diarsipkan 2022-10-05 di Wayback Machine. - 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 Diarsipkan 2021-06-15 di Wayback Machine. - A computation and communication efficient graph processing system with significantly low communication cost.
- Imitator Diarsipkan 2022-05-27 di Wayback Machine. - A reliable distributed graph processing system with replication-based fault-tolerance.
- Sedge Diarsipkan 2015-02-25 di Wayback Machine. - A framework for distributed large graph processing and graph partition management (including an open source version of Google's Pregel)
- Signal/Collect Diarsipkan 2016-06-12 di Wayback Machine. - 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 Diarsipkan 2013-02-12 di Wayback Machine. - A distributed, disk-based graph database developed by Aurelius Diarsipkan 2016-04-02 di Wayback Machine..
- Trinity Diarsipkan 2016-06-05 di Wayback Machine. - Distributed in-memory graph engine under development at Microsoft Research Labs.
- Parallel Boost Graph Library (PBGL) Diarsipkan 2023-03-25 di Wayback Machine. - a C++ library for graph processing on distributed machines, part of Boost framework.
- Mizan Diarsipkan 2022-12-26 di Wayback Machine. - 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.[16]
- Weaver Diarsipkan 2020-01-20 di Wayback Machine. - A fast and scalable graph store designed specifically for dynamically-changing graphs
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GPGPU Graph Processing
- Medusa Diarsipkan 2016-01-24 di Wayback Machine. - A framework for graph processing using Graphics Processing Units (GPUs) on both shared memory and distributed environments. Medusa allows users with no GPU programming expertise to leverage GPUs for graph processing.
APIs and Graph Query/Programming Languages
- Bounds Language Diarsipkan 2014-11-28 di Wayback Machine. - terse C-style syntax which initiates concurrent traversals in GraphBase and supports interaction between them.
- Blueprints Diarsipkan 2013-01-14 di Wayback Machine. - a Java API for Property Graphs from TinkerPop Diarsipkan 2017-07-10 di Wayback Machine. and supported by a few graph database vendors.
- Blueprints.NET Diarsipkan 2023-08-08 di Wayback Machine. - a C#/.NET API for generic Property Graphs.
- Bulbflow Diarsipkan 2022-01-20 di Wayback Machine. - a Python persistence framework for Rexster, Titan, and Neo4j Server.
- Cypher Query Language Diarsipkan 2014-01-08 di Wayback Machine. - a declarative graph query language for Neo4j that enables ad hoc as well as programmatic (SQL-like) access to the graph
- Gremlin Diarsipkan 2013-01-16 di Wayback Machine. - an open-source graph programming language that works over various graph database systems.
- Neo4jClient Diarsipkan 2014-12-19 di Wayback Machine. - a .NET client for accessing Neo4j.
- Neography Diarsipkan 2023-06-02 di Wayback Machine. - a thin Ruby wrapper that provides access to Neo4j via REST.
- Neo4jPHP Diarsipkan 2022-06-21 di Wayback Machine. - a PHP library wrapping the Neo4j graph database.
- NodeNeo4j Diarsipkan 2023-04-26 di Wayback Machine. - a Node.js driver for Neo4j that provides access to Neo4j via REST
- Pacer Diarsipkan 2023-05-23 di Wayback Machine. - a Ruby dialect/implementation of the Gremlin graph traversal language.
- Pipes Diarsipkan 2016-03-21 di Wayback Machine. - a lazy dataflow framework written in Java that forms the foundation for various property graph traversal languages.
- Pixy Diarsipkan 2022-12-05 di Wayback Machine. - a declarative graph query language that works on any Blueprints-compatible graph database
- PYBlueprints Diarsipkan 2016-03-04 di Wayback Machine. - a Python API for Property Graphs.
- Pygr Diarsipkan 2016-08-09 di Wayback Machine. - a Python API for large-scale analysis of biological sequences and genomes, with alignments represented as graphs.
- Rexster Diarsipkan 2013-12-21 di Wayback Machine. - a graph database server that provides a REST or binary protocol API (RexPro). Supports Titan, Neo4j, OrientDB, Dex, and any TinkerPop/Blueprints-enabled graph.
- RDFSharp Diarsipkan 2017-12-23 di Wayback Machine. - a .NET API for modeling RDF graphs, storing them on many SQL databases (Firebird, MySQL, PostgreSQL, SQL Server, SQLite) and querying them with SPARQL.
- SPARQL - a query language for databases, able to retrieve and manipulate data stored in Resource Description Framework format.
- SPASQL Diarsipkan 2023-06-01 di Wayback Machine. - an extension of the SQL standard, allowing execution of SPARQL queries within SQL statements, typically by treating them as subquery or function clauses. This also allows SPARQL queries to be issued through "traditional" data access APIs (ODBC, JDBC, OLE DB, ADO.NET, etc.)
- Spring Data Neo4j Diarsipkan 2013-09-03 di Wayback Machine. - an extension to Spring Data Diarsipkan 2013-09-10 di Wayback Machine. (part of the Spring Framework), providing direct/native access to Neo4j
- Oracle SQL and PL/SQL APIs Diarsipkan 2013-11-06 di Wayback Machine. - have graph extensions for Oracle Spatial and Graph.
- Styx (previously named Pipes.Net) - a data flow framework for C#/.NET for processing generic graphs and Property Graphs.
- Thunderdome Diarsipkan 2020-11-21 di Wayback Machine. - a Titan Rexster Object-Graph Mapper for Python (no longer maintained)
- Mogwai Diarsipkan 2014-10-06 di Wayback Machine. - a Titan Rexster Object-Graph Mapper for Python - Forked from Thunderdome
- Rexpro-Python Diarsipkan 2022-04-20 di Wayback Machine. - a Titan Rexpro connection handler for Python.
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Lihat pula
- NoSQL
- Document-oriented database
- Structured storage
- Object database
- Resource Description Framework (RDF) - framework to express node-edge graphs
- Graph transformation for a complementary topic (rule based in memory manipulation of graphs instead of transaction safe persistence).
- RDF Database
Referensi
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