Category: Analytics
Service: Amazon Redshift Serverless
Answer:
Amazon Redshift Serverless is a new deployment option for Amazon Redshift, a fast, scalable, and fully-managed cloud data warehouse service. It allows you to run Redshift with on-demand, autoscaling compute resources that automatically pause and resume your cluster, based on the incoming query traffic.
Traditionally, Amazon Redshift clusters require you to provision and manage the underlying compute resources, including the number and size of nodes. This requires some upfront capacity planning and ongoing monitoring and maintenance to ensure that the cluster has enough resources to handle the workload.
With Amazon Redshift Serverless, you don’t need to worry about provisioning or managing the underlying compute resources. Instead, Redshift Serverless automatically scales the cluster based on your query workload, with no downtime or impact on query performance. This can lead to significant cost savings, as you only pay for the queries that you run and the amount of data scanned by those queries, without having to pay for idle compute resources.
Here are some key differences between Amazon Redshift Serverless and traditional Amazon Redshift clusters:
Compute resources: In traditional Redshift clusters, you need to choose and provision the number and size of nodes that will run your queries. With Redshift Serverless, you don’t need to worry about this – the service will automatically provision and scale the compute resources based on the incoming query traffic.
Cost model: In traditional Redshift clusters, you pay for the compute resources that you provision, regardless of how much you actually use them. With Redshift Serverless, you pay only for the queries that you run and the amount of data scanned by those queries, which can lead to significant cost savings.
Query concurrency: In traditional Redshift clusters, the number of concurrent queries that can be executed is limited by the number of nodes in the cluster. With Redshift Serverless, you can run hundreds of concurrent queries, regardless of the size of your cluster.
Availability: In traditional Redshift clusters, you need to manage the cluster’s availability and ensure that it’s always up and running. With Redshift Serverless, the service automatically manages availability and can quickly recover from any issues or failures.
In summary, Amazon Redshift Serverless is a new deployment option for Amazon Redshift that offers on-demand, autoscaling compute resources without requiring you to manage the underlying infrastructure. This can lead to significant cost savings and increased query concurrency, among other benefits.
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