Announcing HAQM Redshift Serverless with AI-driven scaling and optimization
Today, HAQM Redshift Serverless introduces the next generation of AI-driven scaling and optimization in cloud data warehousing. HAQM Redshift Serverless uses AI techniques to automatically scale with workload changes across all key dimensions—such as data volume changes, number of concurrent users, and query complexity—to meet and maintain your price-performance targets. HAQM internal tests demonstrate that this optimization can provide you up to 10x better price performance for variable workloads, without manual intervention.
The new AI-driven scaling and optimization in HAQM Redshift Serverless enhances performance and cost efficiency by learning your data warehouse workload patterns (query complexity, data volume) and automatically adjusting resources throughout the day. This dynamic and proactive resource management ensures capacity aligns with your actual workload needs, minimizing overprovisioning. Tailored performance optimization improves query speeds by intelligently tuning resources based on your workload types. The price-performance slider offers the flexibility to prioritize either cost or performance depending on your needs. AI-driven scaling and optimization reduces your operational overhead while streamlining performance and cost, making HAQM Redshift Serverless smarter and more efficient.
HAQM Redshift Serverless with AI-driven scaling and optimization is available in all AWS Regions where HAQM Redshift Serverless is available.
To get started, see the following list of resources: