Amazon Redshift RG instances
Powered by AWS Graviton. Run data warehouse and data lake workloads up to 2.4x as fast as RA3 at 30% lower cost.
Why Amazon Redshift RG?
Amazon Redshift RG instances, powered by AWS Graviton, deliver better performance - running data warehouse workloads up to 2.2x as fast as previous generation RA3 instances at 30% lower price per-vCPU. Run SQL analytics across your data warehouse and data lake from a single engine with increased performance over RA3 — up to 2.4x as fast as RA3 for Apache Iceberg and up to 1.5x as fast as RA3 for Apache Parquet. That combination of speed, cost efficiency, and an integrated data lake query engine makes Redshift RG best suited for the query volumes and latency demands of today’s analytics and agentic AI workloads.
Benefits
Advanced query optimizations, combined with the power of AWS Graviton deliver the best performance for your workloads. The vectorized data lake query engine features a highly optimized scan layer with the latest data pruning techniques, a purpose-built I/O subsystem, and Graviton-based optimizations that make scanning Iceberg and Parquet data highly efficient. Just-in-Time (JIT)-Analyze delivers consistently fast queries without manual tuning — automatically updating table statistics as your data and workload patterns evolve. Intelligent caching keeps frequently accessed datasets close to compute, reducing round-trips to your data lake for repeated queries for faster response times.
Get RG instances at 30% lower price per vCPU than previous generation RA3 instances. Eliminate unpredictable per-terabyte scanning charges that weigh on analytics budgets. RG instances replace variable fees with a single, predictable monthly bill—reducing total costs for combined warehouse and data lake workloads.
Query your data warehouse and data lake from the same compute — no separate engine to provision, manage, or pay for. A vectorized query engine built directly into the Redshift processor handles Apache Iceberg and other open formats natively alongside your warehouse workloads.
Data Points
Customer quotes
tombola
The new Graviton-based Amazon Redshift RG instances delivered 1.8x–2x faster write throughput and up to 2.2x faster read speeds compared to RA3 across a diverse set of batch and analytical jobs — enabling us to process 40% more within the same window. Compressed ETL cycles, accelerated time-to-insight, and decision-making no longer bottlenecked by the pipeline — together, these translated directly into fresher data reaching our analysts and business teams sooner. What made this even more compelling was a concurrent 30% reduction in compute spend alongside the gains — delivering more for less is a rare outcome, and one worth highlighting. In a volume-heavy gaming industry at tombola, where query latency and cost compound at scale, this has been one of the more impactful platform decisions we've made this year
Akshay Srinivasan, Data Engineer, tombola
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