AWS – Amazon Redshift multi-data warehouse writes through data sharing is now generally available

AWS announces the general availability of Amazon Redshift multi-data warehouse writes through data sharing. You can now start writing to Amazon Redshift databases from multiple Amazon Redshift data warehouses in just a few clicks. The written data is available to all Amazon Redshift warehouses as soon as it is committed. This allows your teams to flexibly scale compute by adding warehouses of different types and sizes based on their write workloads’ price-performance needs, isolate compute to more easily meet your workload performance requirements, and easily and securely collaborate with other teams.

With Amazon Redshift multi-data warehouse writes through data sharing, you can easily keep extract, load and transform (ETL) jobs more predictable by splitting workloads between multiple warehouses, helping you meet your workload performance requirements with less time and effort. You can track usage and control costs as each team or application can write using its own warehouse, regardless of where the data is stored. You can use different types of RA3 and Serverless warehouses across different sizes to meet each individual workload’s price-performance needs. Your data is immediately available across AWS accounts and regions once committed, enabling better collaboration across your organization.

Amazon Redshift multi-warehouse writes through data sharing is available for RA3 provisioned clusters and Serverless workgroups in all AWS regions where Amazon Redshift data sharing is supported. To get started with Amazon Redshift multi-warehouse writes through data sharing, visit the documentation page.

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