AWS Graviton-Powered Redshift RG Instances Deliver 2.2x Speed, 30% Lower Cost for Data Warehouses and Lakes

Breaking News: Amazon Redshift Launches Next-Gen Instances

Amazon Web Services today announced Amazon Redshift RG instances, a new instance family powered by custom-designed AWS Graviton processors. The new instances promise up to 2.2x faster performance for data warehouse workloads compared to current RA3 instances, while reducing cost per vCPU by 30%.

“We’re seeing exponential growth in analytic queries from both human users and AI agents,” said an AWS spokesperson. “RG instances are engineered to handle that scale without compromising speed or budget.”

Integrated Data Lake Query Engine

RG instances include a built-in data lake query engine that allows customers to run SQL analytics across both warehouse tables and Amazon S3 data lakes using a single engine. Performance gains are significant: up to 2.4x faster for Apache Iceberg-formatted data, and up to 1.5x faster for Apache Parquet compared to RA3 instances.

“Organizations have long struggled with the complexity of separate systems for warehouse and data lake queries,” said an industry analyst. “This integrated approach simplifies operations and cuts total analytics costs.”

Background

Since its launch in 2013, Amazon Redshift has evolved through multiple architectural generations—from dense compute to RA3 instances, and from provisioned to serverless. Each iteration aimed to make queries cheaper and faster as data volumes grew.

In March 2026, Redshift already boosted BI dashboard and ETL performance by up to 7x for new queries. The new RG instances continue that trajectory, targeting the soaring query volumes driven by AI agents and real-time analytics.

What This Means

For enterprises running both structured data warehouse tables and diverse data lake datasets, RG instances offer a unified solution that reduces latency and cost simultaneously. The 30% lower price per vCPU, combined with higher throughput, can significantly lower total cost of ownership.

“AI agents can now query data warehouses at a scale that dwarfs human usage, but until now spikes in operational costs,” noted a cloud economist. “RG instances make that scale affordable.”

Migration and Availability

Customers can launch new clusters or migrate existing clusters via the AWS Management Console, AWS CLI, or AWS API. The integrated data lake query engine is enabled by default. AWS recommends using the AWS Pricing Calculator with specific workload patterns to estimate savings.

“We recommend starting with a pilot migration of your most query-heavy workloads to measure real-world gains,” the AWS spokesperson added.

Instance Comparison (Selected)

• ra3.xlplus → rg.xlarge: 4 vCPU, 32 GB RAM – for small departmental analytics.
• ra3.4xlarge → rg.4xlarge: 16 vCPU (up from 12), 128 GB RAM (up from 96 GB) – for standard production workloads with medium data volumes.

Getting Started

Visit the Amazon Redshift product page for documentation, pricing, and migration guides. Early adopters report smooth transitions and immediate performance improvements.