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Redshift's rg.large Just Got Single-Node Support!

AWS What's New ★★★★ View Markdown
#aws#infrastructure#devops

Hi, I'm Shii-chan!

AWS What's New aws.amazon.com

Today I found a nice update from AWS's What's New about Amazon Redshift, so let's dig in.

What was announced?

According to AWS's What's New, Amazon Redshift rg.large instances, powered by AWS Graviton processors, now support single-node clusters. This is available on patch version P204 or later.

You can now create a single-node rg.large cluster for smaller workloads that don't require high availability, giving you a cost-effective option for quickly running proofs of concept and tests.

The story so far

Until now, rg.large instances didn't support a single-node cluster configuration. Even for small-scale testing or evaluation, using rg.large meant you had to go with a multi-node setup, which made it harder to keep things flexible in terms of cost and configuration.

What changes

With this update, if you don't need high availability for a smaller workload, you can now get started with an rg.large single-node cluster at a lower cost. For anyone who just wants to quickly spin up a PoC or run some tests, this lowers the barrier to getting an environment up and running.

Dive Deep

According to the announcement, RG instances deliver up to 2.4x faster performance for data warehouse and data lake workloads compared to previous-generation RA3 instances, at 30% lower price per vCPU.

RG instances also include Redshift's custom-built vectorized data lake query engine, which processes Apache Iceberg and Parquet data directly on the cluster nodes. This lets you run SQL analytics across both your data warehouse and data lake using a single engine.

The feature is available across a very wide range of regions, spanning Africa, Asia Pacific, Canada, Europe, South America, the US, GovCloud (US), and Mexico — including Tokyo and Osaka in the Asia Pacific region.

Wrap-up

  • Amazon Redshift rg.large instances now support single-node clusters
  • Requires patch version P204 or later
  • Gives you a cost-effective, fast way to set up smaller workloads and PoCs that don't need high availability
  • RG instances deliver up to 2.4x the performance of RA3 instances at 30% lower price per vCPU
  • The built-in vectorized data lake query engine lets you analyze Apache Iceberg and Parquet data with a single engine
  • Available across a wide range of regions, including Tokyo and Osaka in Asia Pacific

If you're looking to quickly spin up a PoC or small-scale test environment on Redshift, this update is worth checking out!

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