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Redshift com12/23/2023 Redshift Spectrum can be used in conjunction with any other AWS compute service with direct S3 access, including Amazon Athena, as well as Amazon Elastic Map Reduce for Apache Spark, Apache Hive and Presto. Multiple clusters can access the same S3 data set at the same time, but queries can only be conducted on data stored in the same AWS region. Redshift Spectrum must have a Redshift cluster and a connected SQL client. Redshift Spectrum can scale to run a query across more than an exabyte of data, and once the S3 data is aggregated, it's sent back to the local Redshift cluster for final processing. Those requests are spread across thousands of AWS-managed nodes to maintain query speed and consistent performance. Redshift Spectrum breaks a user query into filtered subsets that are run concurrently. Redshift Spectrum also expands the scope of a given query because it extends beyond a user's existing Redshift data warehouse nodes and into large volumes of unstructured S3 data lakes. This can save time and money because it eliminates the need to move data from a storage service to a database, and instead directly queries data inside an S3 bucket. ![]() With Redshift Spectrum, an analyst can perform SQL queries on data stored in Amazon S3 buckets. Amazon Redshift Spectrum is a feature within Amazon Web Services' Redshift data warehousing service that lets a data analyst conduct fast, complex analysis on objects stored on the AWS cloud.
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