It can push many compute-intensive tasks, such as predicate filtering and aggregation, down to the Redshift Spectrum layer, so that queries use much less of your cluster’s processing capacity. Redshift Spectrum excels when running complex queries. Run fast and simple queries using Athena while taking advantage of the advanced Amazon Redshift query engine for complex queries using Redshift Spectrum. Moving to Redshift Spectrum also allowed us to take advantage of Athena as both use the AWS Glue Data Catalog. Take advantage of the ability to define multiple tables on the same S3 bucket or folder, and create temporary and small tables for frequent queries.Ĭombine Athena and Redshift Spectrum for optimal performance Then we realized that we were unnecessarily scanning a full day’s worth of data every minute. When we started using Redshift Spectrum, we saw our Amazon Redshift costs jump by hundreds of dollars per day. Faster performance, less data to scan, and much more efficient columnar format. You pay only for the queries you perform and only for the data scanned per query. One of the biggest benefits of using Redshift Spectrum (or Athena for that matter) is that you don’t need to keep nodes up and running all the time. Among the benefits of Redshift the following are some: Amazon Redshift and is the most popular cloud data warehouse.
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