![]() ![]() You can now rapidly onboard any number of workloads with diverse data access patterns and SLA requirements and not be concerned about resource contention. Queries accessing shared data run on the consumer cluster and read data from the Amazon Redshift managed storage layer directly without impacting the performance of the producer cluster. With data sharing, workloads accessing shared data are isolated from each other. There is no additional cost to use data sharing on your Amazon Redshift clusters.ĭata sharing builds on Amazon Redshift RA3 managed storage, which decouples storage and compute, allowing either of them to scale independently.
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