Amazon Redshift has up to 3x better price-performance than other cloud data warehouses, and the price-performance advantage improves as your data warehouse grows from gigabytes to exabytes.
Amazon Redshift takes advantage of AWS designed-hardware and machine learning (ML) to deliver the best price performance at any scale. This includes using the AWS Nitro System to accelerate data compression and encryption, ML techniques to analyze queries, and graph optimization algorithms to automatically organize and store data for faster query results.
AQUA is a new distributed and hardware accelerated cache that allows Redshift queries to run up to 10x faster than other enterprise cloud data warehouses by automatically boosting certain operations. AQUA accelerates scan, filtering, and aggregation operations today, and will accelerate more operations in the future.
Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between.
"Because of the performance and scale Redshift provides, we have increased our manufacturing efficiency and reduced the time needed to gather and prepare data for regulatory submissions by a factor of five."
"By leveraging Redshift's ability to query data directly in our Amazon S3 data lake, we have been able to easily integrate new data sources in hours, not days or weeks. This has not only reduced our time to insight, but helped us control our infrastructure costs."
Migrate your on-premises data warehouse to Amazon Redshift
Learn more about modernizing your data warehouse.
Redshift makes it simple and cost effective to run high performance queries on petabytes of semi-structured and structured data so that you can build powerful reports and dashboards using QuickSight or other business intelligence tools.
Intuit uses Redshift for business intelligence.
Operational analytics on events
Bring together structured data from your data warehouse and semi-structured data such as application logs from your S3 data lake to get real-time operational insights on your applications and systems.
Euclid uses Redshift for analytics.
Data as a service
Share data inside and outside your organization for secure and governed collaboration on live data with Redshift data sharing.
Use SQL to automatically create, train, and deploy Amazon SageMaker models on the data in your data warehouse with Redshift Machine Learning (preview).