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Amazon Redshift launches RG instances powered by AWS Graviton
Amazon Redshift RG Instances
Amazon Redshift introduces RG instances, a new generation of provisioned cluster nodes powered by AWS Graviton processors, offering up to 2.4x faster performance and 30% lower price per vCPU compared to RA3 instances. RG instances feature a custom-built vectorized data lake query engine for Apache Iceberg and Parquet data, eliminating the need for Redshift Spectrum's separate scanning fleet.
Key improvements include:
- Performance: Up to 2.2x faster for data warehouse workloads, up to 2.4x faster for Apache Iceberg queries, and up to 1.5x faster for Parquet workloads.
- Data Lake Engine: Features include a purpose-built I/O subsystem, NVMe caching, vectorized Parquet scans, and advanced file and partition-level pruning.
- Just-in-Time (JIT) Analyze: Automatically collects and updates table statistics, ensuring consistently fast queries without manual tuning.
- Intelligent NVMe Caching: Keeps frequently accessed datasets close to compute, reducing round-trips to the data lake for faster response times.
What to do
- Migrate existing RA3 clusters using Snapshot & Restore, Elastic Resize, or Classic Resize.
- Choose from flexible pricing options, including On-Demand, and 1-year and 3-year Reserved Instances with No Upfront payment.
- Visit the Amazon Redshift pricing page for details.
RG instances are available in the following AWS Regions:
- US East (N. Virginia)
- US East (Ohio)
- US West (Oregon)
- US West (N. California)
- Canada (Central)
- South America (São Paulo)
- Europe (Ireland)
- Europe (Frankfurt)
- Europe (London)
- Europe (Paris)
- Europe (Stockholm)
- Europe (Milan)
- Europe (Spain)
- Asia Pacific (Tokyo)
- Asia Pacific (Seoul)
- Asia Pacific (Singapore)
- Asia Pacific (Sydney)
- Asia Pacific (Mumbai)
- Asia Pacific (Jakarta)
- Asia Pacific (Hong Kong)
- Asia Pacific (Osaka)
- Asia Pacific (Malaysia)
- Asia Pacific (Hyderabad)
- Asia Pacific (Taiwan)
- Asia Pacific (Melbourne)
- Middle East (UAE)
To get started, refer to the following resources:
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