Writing to Apache Iceberg tables - Amazon Redshift

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 .

Writing to Apache Iceberg tables

With Amazon Redshift, you can create and write to Apache Iceberg tables stored in Amazon S3 and Amazon S3 table buckets. Writing Iceberg data directly from Amazon Redshift streamlines your data management by eliminating extra tools. Iceberg tables must be registered with AWS Glue Data Catalog.

You can use lakehouse architecture with Apache Iceberg tables while simultaneously taking advantage of Amazon Redshift's powerful SQL analytics across both warehouses and lakes. You also gain immediate access to advanced Amazon Redshift features like materialized views on your Iceberg tables, significantly enhancing your analytical capabilities without adding complexity.

Iceberg writes is supported on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless instances.

Topics