Amazon Redshift RG.Large Instances Add Single-Node Support for Cost-Effective Data Analytics

AWS Redshift enabled single-node cluster deployment of rg.large instances to support smaller analytics workloads without high availability.

By Nina Foster · Editorial pseudonym · 2026-09-03 · 1 min read

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-09-03. Source published: 2026-09-03. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Amazon Redshift expanded rg.large instance capabilities by allowing single-node cluster creation, targeting smaller workloads and quick proof-of-concept testing without the overhead of high availability configurations. This feature is available on releases from P204 patch level onward.

These Graviton-powered instances claim up to 2.4 times faster performance than previous RA3 instances with 30% lower vCPU cost, leveraging Redshift's vectorized data lake query engine compatible with formats like Apache Iceberg and Parquet. Single-node rg.large instances are accessible in numerous AWS regions globally, providing cost-effective options for analytic workloads.

Source & further reading

Amazon Redshift rg.large instances now support single-node clusters ↗

Source published 2026-09-03. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.