Amazon Redshift has enhanced data warehousing and SQL analytics since its inception in 2013, with over 100 new features and enhancements in 2024 alone.
The service has improved with features such as better performance, data sharing, and multi-data warehouse writes.
Customers can now write data to shared Redshift databases from multiple Redshift data warehouses and use generative AI capabilities to build natural language-based applications.
Amazon Redshift has also focused on improved performance with lower latency responses, up to three times better price-performance, and enhancements in layout and sort keys that optimize performance.
Near real-time analytics and a simplified data lake house architecture make it an ideal solution for growing businesses and enterprises.
Amazon Redshift allows users to scale with multi-cluster deployments and offers seamless cross-account and cross-region data collaboration.
Amazon Redshift now offers serverless AI-driven scaling and optimization for larger workloads and easier integration for generative AI and natural language processing.
With improvements in simplified ingestion and increased connectivity to third-party enterprise applications, Amazon Redshift continues to enable fast insights over fresher data.
Other improvements include new continuous file ingestion from S3 buckets, expanded support for Apache Kafka clusters, and query identifiers for improved performance monitoring.
Amazon Redshift AI is becoming even more intelligent, with Amazon Q generative SQL and integration with Amazon Bedrock for generative AI tasks. Amazon Bedrock Knowledge Bases now supports structured data retrieval as well.