Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026.
We will start enforcing it in phases. For more information on the details of Python end of life
and migration options, see the
blog post
Amazon Redshift Serverless
Amazon Redshift Serverless makes it convenient for you to run and scale analytics without having to provision and manage an on-premises data warehouse. With Amazon Redshift Serverless, data analysts, developers, and data scientists can now use Amazon Redshift to get insights from data in seconds by loading data into and querying records from the data warehouse in the cloud. Amazon Redshift automatically provisions and scales data warehouse capacity to deliver fast performance for demanding and unpredictable workloads. You pay only for the capacity that you use. You can benefit from this simplicity without changing your existing analytics and business intelligence applications.
For information about Amazon Redshift Serverless SLAs, see Amazon Redshift Service Level Agreement
