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

총관리자 2016.03.10 18:27 조회 수 : 16165

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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756	oozie의 meta정보를 mysql에서 관리하기	2014.05.26	27762
755	bananapi 5대(ubuntu계열 리눅스)에 yarn(hadoop 2.6.0)설치하기-ResourceManager HA/HDFS HA포함, JobHistory포함	2015.04.24	25708
754	mapreduce appliction을 실행시 "is running beyond virtual memory limits" 오류 발생시 조치사항	2017.05.04	22844
753	org.apache.hadoop.hdfs.server.common.InconsistentFSStateException: Directory /tmp/hadoop-root/dfs/name is in an inconsistent state: storage directory does not exist or is not accessible.	2013.03.11	18508
752	Cloudera의 API를 이용하여 impala의 실행되었던 쿼리 확인하는 예시	2018.05.03	16982
»	System Properties Comparison Elasticsearch vs. Hive vs. Jena	2016.03.10	16165
750	Cloudera Hadoop and Spark Developer Certification 준비(참고)	2018.05.16	15602
749	Hive Query Examples from test code (2 of 2)	2014.03.26	14815
748	Resource temporarily unavailable(자원이 일시적으로 사용 불가능함) 오류조치	2015.11.19	13244
747	drop table로 삭제했으나 tablet server에는 여전히 존재하는 테이블 삭제방법	2021.07.09	12648
746	[DataNode]org.apache.hadoop.security.KerberosAuthException: failure to login: for principal: hdfs/datanode03@GOOPER.COM from keytab hdfs.keytab오류	2023.04.18	12220
745	insert hbase by hive ... error occured after 5 hours..HMaster가 뜨지 않는 장애에 대한 복구 방법	2014.04.29	11966
744	[Decommission]시 시간이 많이 걸리면서(수일) Decommission이 완료되지 않는 경우 조치	2018.01.03	11813
743	mysql 5.5.34-0ubuntu0.13.04용 설치/진행 화면	2014.09.10	11489
742	hive job실행시 meta정보를 원격의 mysql에 저장하는 경우 설정방법	2014.05.28	11293
741	hive 2.0.1 설치및 mariadb로 metastore 설정	2016.06.03	11129
740	cumulusRDF 1.0.1설치및 "KeyspaceCumulus" keyspace확인하기	2016.04.15	11112
739	Windows7 64bit 환경에서 Apache Spark 2.2.0 설치하기	2017.07.26	11060
738	jupyter, zeppelin, rstudio를 이용하여 spark cluster에 job를 실행시키기 위한 정보	2018.04.13	10562