Posted On: Nov 30, 2021
Amazon Redshift now provides a serverless option (preview) to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users including data analysts, developers, and data scientists can now use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver best-in-class performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications.
With a few clicks in the AWS Management Console, you can get started with querying data with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can take advantage of pre-loaded sample data sets along with sample queries to kick start analytics immediately. You can create databases, schemas, tables, and load your own data from Amazon S3, access data via Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. Amazon Redshift Serverless also enables you to directly query data in open formats, such as Parquet, in Amazon S3 data lakes, as well as data in your operational databases, such as Amazon Aurora and Amazon RDS. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, making it easy for you to monitor and manage costs.