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bot: 清理跨語言連結MicroStrategy成為內部連結:編輯摘要的red link經繁簡轉換後存在

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{{NoteTA
|G1=IT
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{{第一手来源}}
{{Infobox software
| logo =
| name = Amazon Redshift
| developer = [[Amazon.com]]
| released = {{Release date and age|2012|10}}
| operating system = [[跨平台]]
| language = 英文
| genre =
| license = [[专有软件]]
| website = {{URL|https://aws.amazon.com/redshift/}}
}}
'''Amazon Redshift'''是一款[[互联网托管服务]]和[[資料倉儲]]产品，是大型[[雲端運算]]平台[[亚马逊云计算服务]]的一部分。该产品基于[[大规模并行处理机|大规模并行处理]]数据倉儲公司ParAccel的技术（该公司后被{{le|Actian}}收购）<ref>{{Cite web|title=Amazon Redshift: ParAccel in, costly appliances out|url=http://www.zdnet.com/amazon-redshift-paraccel-in-costly-appliances-out-7000008111/|accessdate=2013-07-08|work=ZDNet|archive-date=2013-06-05|archive-url=https://web.archive.org/web/20130605000041/http://www.zdnet.com/amazon-redshift-paraccel-in-costly-appliances-out-7000008111/|dead-url=no}}</ref>，用以处理大规模数据集和[[数据库]]迁移。<ref>{{Cite web|title=Improve data processing performance on AWS Redshift by 200%|url=http://www.ardentisys.com/cloud-management/improve-aws-redshift-performance|work=Ardentisys.com|accessdate=2019-11-15|archive-date=2019-11-15|archive-url=https://web.archive.org/web/20191115085000/https://www.ardentisys.com/cloud-management/improve-aws-redshift-performance|dead-url=no}}</ref>该产品与[[亚马逊公司]]的其他托管数据库产品（如{{le|Amazon RDS}}）的区别在于，它能处理基于[[列式数据库]]原理存储的[[大數據]]数据集的分析工作的负载。

Amazon Redshift基于较旧的[[PostgreSQL]] 8.0.2版本并对其进行了改动。<ref>{{Cite web|title=Redshift and PostgreSQL|url=http://docs.aws.amazon.com/redshift/latest/dg/c_redshift-and-postgres-sql.html|work=AWS|publisher=Amazon|accessdate=2019-11-15|archive-date=2019-11-15|archive-url=https://web.archive.org/web/20191115085004/https://docs.aws.amazon.com/redshift/latest/dg/c_redshift-and-postgres-sql.html|dead-url=no}}</ref> <ref>{{Cite web|title=Unsupported PostgreSQL features|url=http://docs.aws.amazon.com/redshift/latest/dg/c_unsupported-postgresql-features.html|work=AWS|publisher=Amazon|accessdate=2019-11-15|archive-date=2019-11-15|archive-url=https://web.archive.org/web/20191115084956/https://docs.aws.amazon.com/redshift/latest/dg/c_unsupported-postgresql-features.html|dead-url=no}}</ref>最初的[[軟件版本週期|公众预览版（beta）]]于2012年11月发布<ref>{{Cite web|title=Amazon Debuts Low-Cost, Big Data Warehousing|url=https://www.informationweek.com/software/information-management/amazon-debuts-low-cost-big-data-warehous/240142712|accessdate=2013-07-08|work=Information Week|archive-date=2013-05-31|archive-url=https://web.archive.org/web/20130531074545/http://www.informationweek.com/software/information-management/amazon-debuts-low-cost-big-data-warehous/240142712|dead-url=no}}</ref>，完整版则于2013年2月15日发布。该服务可以处理其他大多数应用程序使用[[ODBC]]和[[Java数据库连接|JDBC]]建立的连接。<ref>{{Cite web|title=Amazon Redshift cloud based data warehouse service|url=http://johanlouwers.blogspot.nl/2014/02/amazon-redshift-cloud-based-data.html|author=Louwers|date=2014-02-01|first=Johan|work=johanlouwers.blogspot.co.uk|accessdate=2019-11-15|archive-date=2017-10-13|archive-url=https://web.archive.org/web/20171013013354/http://johanlouwers.blogspot.nl/2014/02/amazon-redshift-cloud-based-data.html|dead-url=no}}.</ref>

根据Forrester在2018年第四季度发布的云端数据仓储（Cloud Data Warehouse）报告，Amazon Redshift的云端数据仓储部署最大，超过6,500个。在2018年由Gigaom进行的基准测试中，Redshift的表现优于[[Microsoft Azure]]。<ref>{{Cite web|title=Data Warehouse in the Cloud Benchmark|url=https://gigaom.com/report/data-warehouse-in-the-cloud-benchmark/|accessdate=2019-05-23|author=McKnight|date=2018-07-12|first=William|work=gigaom.com|language=en-US|archive-date=2019-05-23|archive-url=https://web.archive.org/web/20190523215853/https://gigaom.com/report/data-warehouse-in-the-cloud-benchmark/|dead-url=no}}</ref>。

亚马逊在其“APN合作伙伴”计划列出了众多的{{le|商业智能软件|business intelligence software}}所有者及经过测试的工具<ref name = partners>{{Citation | contribution-url = http://aws.amazon.com/redshift/partners/ | publisher = Amazon | title = AWS Partner Network | contribution = Amazon Redshift Partners | date = 2017-02-06 | archiveurl = https://web.archive.org/web/20170206101133/https://aws.amazon.com/redshift/partners/ | archive-date = 2017-02-06 | accessdate = 2019-11-15 | dead-url = no }}.</ref>，包括{{tsl|en|Actian}}、{{tsl|en|Actuate Corporation}}、{{tsl|en|Alteryx}}、{{tsl|en|Dundas Data Visualization}}、[[Cognos|IBM Cognos]]、{{tsl|en|InetSoft}}、{{tsl|en|Infor}}、{{tsl|en|Logi Analytics}}、{{tsl|en|Looker (company)}}、[[MicroStrategy]]、{{tsl|en|Pentaho}}<ref>{{cite web|url=https://aws.amazon.com/redshift/partners-detail/pentaho/|title=APN - Amazon Redshift Partners - Pentaho|quote="Pentaho has certified its business analytics and data integration platform to work with Amazon Redshift."|publisher=Amazon|work=AWS|accessdate=2019-11-15|archive-date=2019-11-15|archive-url=https://web.archive.org/web/20191115084949/https://aws.amazon.com/redshift/partners-detail/pentaho/|dead-url=no}}</ref><ref>{{cite web|url=http://www.pentaho.com/amazon-web-services#tab-1|title=Amazon Web Services|quote="then transformed, refined, and immediately pushed into Amazon Redshift."|website=Pentaho.com|accessdate=2019-11-15|archive-date=2018-04-01|archive-url=https://web.archive.org/web/20180401031827/http://www.pentaho.com/amazon-web-services#tab-1|dead-url=no}}</ref>、{{tsl|en|Qlik}}、{{tsl|en|SiSense}}、{{tsl|en|Tableau Software}}和 {{tsl|en|Yellowfin Business Intelligence|Yellowfin}}。提供[[数据集成]]工具的合作伙伴包括{{tsl|en|Informatica}}和{{tsl|en|SnapLogic}}。系统集成和咨询合作伙伴包括[[埃森哲]]、[[德勤]]、[[凱捷]]和{{tsl|en|DXC Technology}}。

== 参见 ==
*{{tsl|en|Amazon Aurora}}
*[[Amazon DynamoDB]]
*{{tsl|en|Amazon Relational Database Service}}

== 参考文献 ==
{{Reflist}}
[[Category:Amazon Web Services]]
[[Category:数据仓库]]
[[Category:云端运算]]

Amazon Redshift - 版本历史

imported>Cewbot：​bot: 清理跨語言連結MicroStrategy成為內部連結:編輯摘要的red link經繁簡轉換後存在

imported>Cewbot：bot: 清理跨語言連結MicroStrategy成為內部連結:編輯摘要的red link經繁簡轉換後存在