Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025.
If you would like to use Python UDFs, create the UDFs prior to that date.
Existing Python UDFs will continue to function as normal. For more information, see the
blog post
Considerations for data sharing in Amazon Redshift
With Amazon Redshift data sharing, you can securely share access to live data across Amazon Redshift clusters, workgroups, Amazon Web Services accounts, and Amazon Web Services Regions without manually moving or copying the data. Previously, objects in datashares were read only in all circumstances. Writing to an object in a datashare is a new feature. Objects in datashares are only write-enabled when a producer specifically grants write privileges like INSERT or CREATE on objects to the datashare. Additionally, for cross-account sharing, a producer has to authorize the datashare for writes and the consumer has to associate specific clusters and workgroups for writes.
This section covers considerations when working with Amazon Redshift data sharing.
Topics
Considerations for data sharing reads and writes in Amazon Redshift
Considerations for data sharing with data lake tables in Amazon Redshift
Considerations for data sharing with Amazon Lake Formation in Amazon Redshift
Considerations for data sharing with Amazon Web Services Data Exchange in Amazon Redshift
Supported SQL statements for data sharing writes on consumers
Unsupported SQL statements for data sharing writes on consumers