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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. This allows Redshift to perform operations on billions of rows at once. Redshift uses parallel-processing and compression to decrease command execution time. Īccording to Cloud Data Warehouse report published by Forrester in Q4 2018, Amazon Redshift has the largest number of Cloud data warehouse deployments, with more than 6,500 deployments.
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The service can handle connections from most other applications using ODBC and JDBC connections.
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An initial preview beta was released in November 2012 and a full release was made available on February 15, 2013. Īmazon Redshift is based on an older version of PostgreSQL 8.0.2, and Redshift has made changes to that version. Redshift allows up to 16 petabytes of data on a cluster compared to Amazon RDS Aurora's maximum size of 128 terabytes. 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. It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), to handle large scale data sets and database migrations. Amazon RedshiftĪmazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. For other uses of "redshift", see Redshift (disambiguation).