Amazon Redshift RG instances

Advanced query optimizations, combined with the power of Amazon 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.