Cloudera CDH/CDP 및 Hadoop EcoSystem, Semantic IoT등의 개발/운영 기술을 정리합니다. gooper@gooper.com로 문의 주세요.

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

총관리자 2016.03.10 18:27 조회 수 : 5708

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

System Properties Comparison Elasticsearch vs. Hive vs. Jena

Please select another system to include it in the comparison.

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

• 
  추천 0
• 
  비추천 0

첨부 [2]

• info.png [File Size:662Bytes/Download:123]
• ranking_trend_s.png [File Size:3.1KB/Download:98]

이 게시물을

이 글의 추천인 목록 목록

• 전체
• Cloudera CDH/CDP
• OS
• IoT/시맨틱웹/머신러닝
• 개발언어/프레임웍
• 빌드/형상관리
• 검색엔진
• 기타

분류 Cloudera CDH/CDP (447)    수집/큐 (39)      flume (6)      sqoop (18)      kafka (15)    가공/분석 (145)      Hue (11)      Cloudera Management Service (1)      Atlas (1)      mapreduce (2)      impala (18)      kudu (15)      hive (47)      spark (41)      Jupyter (5)      Zeppelin (2)      Rstudio (0)      presto (1)      pig (0)    제어/인증 (36)      Cloudera Manager (5)      Ranger (3)      zookeeper (3)      oozie (23)      kms/kts (1)    저장 (130)      Hadoop (67)      mariadb (13)      hbase (29)      kudu (4)      cassandra (5)      mongodb (8)    YARN (1)    HDFS (9) OS (39)    안드로이드 (3)    CentOS (8)    Windows (0)    우분투 (26) IoT/시맨틱웹/머신러닝 (77)    IoT (1)    Cassandra+CumulusRDF (1)    Solr+SolRDF (2)    Spark+S2RDF (10)    Drools (11)    halyard/rdf4j (10)    sparql (15)    fuseki/jena/ (13) 개발언어/프레임웍 (53)    프레임웍 (0)    lagom (11)    spring-mybatis (9)    microservice (10)    python (6)    java/jsp (16)    scala (1) 빌드/형상관리 (35)    sbt (10)    gradle (7)    maven (4)    svn (0)    git (13) 검색엔진 (24)    elasticsearch (6)    solr (18) 기타 (59)    Magento2/APM (15)    bananapi (6)    기타 (6)

번호	제목	날짜	조회 수
310	데이타 분석및 머신러닝에 도움이 도움이 되는 사이트	2016.11.04	3264
309	java스레드 덤프 분석하기	2016.11.03	2114
308	centos 6에서 mariadb 5.1 to 10.0 으로 upgrade	2016.11.01	2719
307	Spark Streaming 코드레벨단에서의 성능개선	2016.10.31	3011
306	Flume과 Kafka를 사용한 초당 100만개 로그 수집 테스트	2016.10.31	4339
305	Flume을 이용한 데이타 수집시 HBase write 성능 튜닝	2016.10.31	3112
304	How-to: Build a Complex Event Processing App on Apache Spark and Drools	2016.10.31	2849
303	How-to: Tune Your Apache Spark Jobs (Part 2)	2016.10.31	3457
302	mybatis와 spring을 org.apache.commons.dbcp2.BasicDataSource의 DataSource로 연동할때 DB설정(참고)	2016.10.31	4324
301	Caused by: java.sql.SQLNonTransientConnectionException: Could not read resultset: unexpected end of stream, read 0 bytes from 4 오류시 확인/조치할 내용	2016.10.31	6935
300	VisualVM 1.3.9을 이용한 spark-submit JVM 모니터링을 위한 설정및 spark-submit실행 옵션	2016.10.28	4856
299	VisualVM 1.3.9을 이용한 JVM 모니터링	2016.10.27	3389
298	운영중인 상태에서 kafka topic삭제하고 재생성하여 처리되지 않은 메세지 모두 삭제하기	2016.10.24	4205
297	producer / consumer구현시 설정 옵션 설명	2016.10.19	3621
296	java.lang.OutOfMemoryError: unable to create new native thread오류 발생지 조치사항	2016.10.17	4160
295	동시에 많은 요청이 endpoint로 몰려서java.net.NoRouteToHostException가 발생하는 경우의 처리방법	2016.10.17	3408
294	AIX 7.1에 Python 2.7.11설치하기	2016.10.06	4155
293	프로그래밍 언어별 딥러닝 라이브러리 정리	2016.10.05	3616
292	모두를 위한 머신러닝과 딥러닝의 강의	2016.09.27	3061
291	DBCP Datasource(org.apache.commons.dbcp.BasicDataSource) 설정 및 속성 설명	2016.09.26	3538