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IoT/시맨틱웹/머신러닝 System Properties Comparison Elasticsearch vs. Hive vs. Jena

총관리자 2016.03.10 18:27 조회 수 : 1056

출처 : http://db-engines.com/en/system/Elasticsearch%3BHive%3BJena

System Properties Comparison Elasticsearch vs. Hive vs. Jena

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Editorial information provided by DB-Engines
Name	Elasticsearch  X	Hive  X	Jena  X
Description	A modern search and analytics engine based on Apache Lucene	data warehouse software for querying and managing large distributed datasets, built on Hadoop	Apache Jena is a Java framework for building Semantic Web and Linked Data applications.
Database model	Search engine	Relational DBMS	RDF store
DB-Engines Ranking  Trend Chart	Score 80.17 Rank #11   Overall #1   Search engines	Score 50.51 Rank #16   Overall #10   Relational DBMS	Score 1.79 Rank #84   Overall #3   RDF stores
Website	www.elastic.co/­products/­elasticsearch	hive.apache.org	jena.apache.org
Technical documentation	www.elastic.co/­guide	cwiki.apache.org/­confluence/­display/­Hive/­Home	jena.apache.org/­documentation/­index.html
Developer	Elastic	Apache Software Foundation	Apache Software Foundation
Initial release	2010	2012	2000
Current release	2.2.0, February 2016	1.2.1, June 2015	2.12.0, August 2014
License	Open Source	Open Source	Open Source
Database as a Service (DBaaS)	no	no	no
Implementation language	Java	Java	Java
Server operating systems	All OS with a Java VM	All OS with a Java VM	Linux OS X Unix Windows
Data scheme	schema-free	yes	yes
Typing	yes	yes	yes
Secondary indexes	yes	yes	yes
SQL	no	no	no
APIs and other access methods	Java API RESTful HTTP/JSON API	JDBC ODBC Thrift	Fuseki  Jena RDF API RIO  SPARQL
Supported programming languages	.Net Clojure Erlang Go Groovy Haskell Java JavaScript Lua Perl PHP Python Ruby Scala	C++ Java PHP Python	Java
Server-side scripts	yes	yes	yes
Triggers	yes	no	yes
Partitioning methods	Sharding	Sharding	none
Replication methods	yes	selectable replication factor	none
MapReduce	no	yes	no
Consistency concepts	Eventual Consistency	Eventual Consistency
Foreign keys	no	no
Transaction concepts	no	no	ACID
Concurrency	yes	yes	yes
Durability	yes	yes	yes
User concepts		Access rights for users, groups and roles	Access control via Jena Security
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
3rd party products and services We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.
More resources
	Elasticsearch	Hive	Jena
DB-Engines blog posts	MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger Elasticsearch replaced Solr as the most popular search engine 12 January 2016, Paul Andlinger Winners, losers and an attractive newcomer in Novembers DB-Engines ranking 2 November 2015, Paul Andlinger show all	Why is Hadoop not listed in the DB-Engines Ranking? 13 May 2013, Paul Andlinger show all
Recent citations in the news	Elasticsearch cluster in a jiffy: Step by step 15 February 2016, The Register Treasure Data Adds Elasticsearch Integration to Portfolio 17 February 2016, GlobeNewswire (press release) Prelert brings behavioral analytics to Elasticsearch 18 February 2016, BetaNews Slack Analytics & Search with Elasticsearch, Node.js and React - SYS 11 February 2016, CON Media (press release) Elasticsearch de dentro para fora: Mapping e Analyzers 4 March 2016, iMasters provided by Google News	Apache、データウェアハウス構築環境「Apache Hive 2.0.0」をリリース 17 February 2016, CodeZine From Hadoop to Zeta: Inside MapR's Convergence Conversion 8 March 2016, Datanami How different SQL-on-Hadoop engines satisfy BI workloads | CIO 24 February 2016, CIO Hortonworks Makes Waves, BI Benchmark Breakthrough: Big Data ... 6 March 2016, InformationWeek AtScale Benchmarks Three SQL-on-Hadoop Engines 25 February 2016, TechTarget (blog) provided by Google News	How Govinfo keeps pace with users 18 February 2016, GCN.com JSON format coexists with XML in association's data strategy 14 January 2016, TechTarget MarkLogic Hones Its Triple Store 18 August 2015, Datanami How to determine which NoSQL DBMS best fits your needs 5 June 2015, TechTarget September News and Product Briefs - Bio 8 October 2013, IT World provided by Google News

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184	elasticsearch 1.3.0에서 rdf및 hadoop plugin설치	2016.04.06	646
183	Elastic Search For Hadoop 2.2.0설치하기(5대 클러스터링)	2016.04.04	587
182	Incompatible clusterIDs오류 원인및 해결방법	2016.04.01	661
181	namenode오류 복구시 사용하는 명령	2016.04.01	591
180	"java.net.NoRouteToHostException: 호스트로 갈 루트가 없음" 오류시 확인및 조치할 사항	2016.04.01	3451
179	bash는 PS1 변수를 통해 프롬프트의 모양을 바꿀 수 있다.	2016.03.30	937
178	CentOS의 서버 5대에 yarn(hadoop 2.7.2)설치하기-ResourceManager HA/HDFS HA포함, JobHistory포함	2016.03.29	1260
177	CentOS에서 리눅스(Linux) 포트 열기, 방화벽 설정/해제 등.	2016.03.14	960
176	Spark Streaming으로 유실 없는 스트림 처리 인프라 구축하기	2016.03.11	496
»	System Properties Comparison Elasticsearch vs. Hive vs. Jena	2016.03.10	1056
174	TopBraid Composer에서 SPIN 사용법	2016.02.25	231
173	SPIN(SPARQL Inference Notation)이란..	2016.02.25	1007
172	SPARQL의 유형, SPARQL 만들기등에 대한 설명	2016.02.18	434
171	select와 group by결과 값이 없는경우의 리턴 값이 다름	2016.02.05	428
170	?a는 모두 표시하면서 ?b와 비교하여 ?a=?b는 ""로 하고 ?a!=?b 인경우는 해당값을 가지는 결과 집합을 구하는 경우	2016.01.29	351
169	?a는 모두 표시하면서 ?b와 비교하여 ?a=?b는 표시하고 ?a!=?b 인경우는 ""로 구성된 결과 집합을 구하는 경우	2016.01.29	918
168	null 혹은 ""를 체크하는 방법	2016.01.27	773
167	sparql 1.1 BIND(if() as ?bind변수) 버그로 추정되는 문제점및 해결방안 -> select 문에 (if(,,) as ?bind변수)	2016.01.21	478
166	CDH 5.4.4 버전에서 hive on tez (0.7.0)설치하기	2016.01.14	800
165	한번에 여러값 update하기	2016.01.13	567