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DBMS > Amazon Redshift

Amazon Redshift System Properties

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Our visitors often compare Amazon Redshift with Snowflake, Amazon DynamoDB and Google BigQuery.

Editorial information provided by DB-Engines
NameAmazon Redshift
DescriptionLarge scale data warehouse service for use with business intelligence tools
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.67
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­redshift
Technical documentationdocs.aws.amazon.com/­redshift
DeveloperAmazon (based on PostgreSQL)
Initial release2012
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshosted
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesrestricted
SQL infoSupport of SQLyes infodoes not fully support an SQL-standard
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin Python
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the system
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
CData: Connect to Big Data & NoSQL through standard Drivers.

Connect Apps, BI, & ETL Tools
to Redshift

Easily connect BI, Analytics, Reporting, and Custom Apps
with Big Data & NoSQL databases.

Connect to Big Data & NoSQL databases without writing code! Our state-of-the-art Drivers let you read, write, and update big data sources through a standard database interface - just like using SQL Server. Trial downloads are available at www.cdata.com/drivers.

Big Data & NoSQL Drivers:
MongoDB, Google BigQuery, Cassandra,
and Other Big Data & Cloud sources ...
ODBC | JDBC | ADO.NET | SQL SSIS | BIZTALK | CLOUD | SYNC The Leading Provider of Big Data & NoSQL Drivers
Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon Redshift
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

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2 October 2015, Paul Andlinger

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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Recent citations in the news

GoodData BI customers now able to use data on Amazon Redshift
8 October 2019, TechTarget

GoodData and Amazon Redshift Form Partnership
11 October 2019, Database Trends and Applications

Amazon migrates more than 100 consumer services from Oracle to AWS databases
15 October 2019, TechCrunch

AI and Data Science Tools on Amazon Web Services
28 September 2019, MarkTechPost

Survey: Rapid Time to Value Is The Main Driver for Analytics Projects, Yet Making Data Available for Insights Is A Barrier for 90% of Enterprises
21 October 2019, PRNewswire

provided by Google News

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