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Amazon Redshift

From Wikipedia, the free encyclopedia
For other uses of "redshift", see Redshift (disambiguation).
Amazon Redshift
Developer(s)Amazon.com
Initial releaseOctober 2012; 12 years ago (2012-10)
Operating systemCross-platform
Available inEnglish
LicenseProprietary
Websiteaws.amazon.com/redshift/

Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services.[1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian),[2] to handle large scale data sets and database migrations.[3] Redshift differs from Amazon's other hosted database offering, Amazon RDS, in its ability to handle analytic workloads on big data data sets stored by a column-oriented DBMS principle. Redshift allows up to 16 petabytes of data on a cluster.[4]

Amazon Redshift is based on an older version of PostgreSQL 8.0.2, and Redshift has made changes to that version.[5][6] An initial preview beta was released in November 2012[7] and a full release was made available on February 15, 2013. The service can handle connections from most other applications using ODBC and JDBC connections.[8] According to Cloud Data Warehouse report published by Forrester in Q4 2018, Amazon Redshift had the largest number of cloud data warehouse deployments, with more than 6,500 deployments.[9]

Redshift uses parallel processing and compression to decrease command execution time.[10] This allows Redshift to perform operations on billions of rows at once.[11] This also makes Redshift useful for storing and analyzing large quantities of data from logs or live feeds through a source such as Amazon Kinesis Data Firehose.[11]

Amazon has listed a number of business intelligence software proprietors as partners and tested tools in their "APN Partner" program,[12] including Actian, Actuate Corporation, Alteryx, Dundas Data Visualization, IBM Cognos, InetSoft, Infor, Logi Analytics, Looker, MicroStrategy, Pentaho,[13][14] Qlik, SiSense, Tableau Software, and Yellowfin. Partner companies providing data integration tools include Informatica and SnapLogic. System integration and consulting partners include Accenture, Deloitte, Capgemini and DXC Technology.

The "Red" in Redshift's name alludes to Oracle, a competing computer technology company sometimes informally referred to as "Big Red" due to its red corporate color. Hence, customers choosing to move their databases from Oracle to Redshift would be "shifting" from "Red".[15]

See also

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References

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  1. ^ "Bye-bye, Big Red? Escaping Oracle's not that easy". infoworld.com. November 4, 2013. Archived from the original on January 15, 2020. Retrieved January 15, 2020.
  2. ^ "Amazon Redshift: ParAccel in, costly appliances out". ZDNet. Archived from the original on June 5, 2013. Retrieved July 8, 2013.
  3. ^ "Improve data processing performance on AWS Redshift by 200%". Ardentisys.com. Archived from the original on November 15, 2019. Retrieved April 14, 2017.
  4. ^ "Amazon Redshift FAQs - Cloud Data Warehouse - Amazon Web Services". Amazon Web Services, Inc. Archived from the original on September 17, 2020. Retrieved September 20, 2020.
  5. ^ "Redshift and PostgreSQL". AWS. Amazon. Archived from the original on November 15, 2019. Retrieved July 26, 2015.
  6. ^ "Unsupported PostgreSQL features". AWS. Amazon. Archived from the original on November 15, 2019. Retrieved July 14, 2016.
  7. ^ "Amazon Debuts Low-Cost, Big Data Warehousing". Information Week. Archived from the original on May 31, 2013. Retrieved July 8, 2013.
  8. ^ Louwers, Johan (February 1, 2014). "Amazon Redshift cloud based data warehouse service". johanlouwers.blogspot.co.uk. Archived from the original on October 13, 2017. Retrieved February 2, 2014..
  9. ^ Little, Cinny. "The Forrester Wave™: Cloud Data Warehouse Solutions, Q4 2018" (PDF). Forrester. Retrieved December 18, 2020.[permanent dead link]
  10. ^ "System and architecture overview - Amazon Redshift". docs.aws.amazon.com. Archived from the original on October 16, 2020. Retrieved October 1, 2020.
  11. ^ a b "4 Amazon Redshift Use Cases: Collect, store, analyze & share data". intermix.io. August 26, 2020. Archived from the original on October 31, 2020. Retrieved October 1, 2020.
  12. ^ "Amazon Redshift Partners", AWS Partner Network, Amazon, February 6, 2017, archived from the original on February 6, 2017.
  13. ^ "APN - Amazon Redshift Partners - Pentaho". AWS. Amazon. Archived from the original on November 15, 2019. Retrieved February 6, 2017. Pentaho has certified its business analytics and data integration platform to work with Amazon Redshift.
  14. ^ "Amazon Web Services". Pentaho.com. Archived from the original on April 1, 2018. Retrieved February 6, 2017. then transformed, refined, and immediately pushed into Amazon Redshift.
  15. ^ Krazit, Tom (January 2, 2018). "Amazon Web Services reportedly named its cloud database RedShift in order to tweak Oracle". GeekWire. Archived from the original on March 9, 2022. Retrieved March 9, 2022.
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