Meet Amazon Redshift RG – AWS Graviton-based instances with an integrated data lake query engine delivering up to 2.4x better performance at 30% lower price than RA3

This article announces the general availability of Amazon Redshift RG instances, powered by AWS Graviton processors, delivering significant performance and cost improvements for data warehouse and data lake workloads.

• RG instances deliver up to 2.4x faster performance on Iceberg workloads, 1.5x on Parquet, 2.2x on data warehouse workloads
• 30% lower cost per vCPU compared to RA3 instances
• Built-in vectorized data lake query engine eliminates Amazon Redshift Spectrum per-TB scanning charges
• JIT ANALYZE automatically collects and uses statistics for data lake tables during query execution
• Full feature parity with RA3 maintains existing capabilities without rearchitecting workloads
• Three migration paths available: Elastic Resize, Snapshot & Restore, Classic Resize
• Ideal for agentic AI workloads requiring fast, low-latency responses at scale
• Available in 25+ AWS regions with rg.xlarge and rg.4xlarge sizes launching now

Amazon Redshift RG instances provide a cost-effective, high-performance foundation for unified analytics, combining Graviton's superior price-performance with purpose-built data lake capabilities.