Redshift delivers fast query performance on gigabytes to petabytes of data, and from a few users to thousands. And you get consistently fast results as your workload grows over time.
Use RA3 instances with managed storage to get up to 3x better price performance than other cloud data warehouses.
AQUA is a new distributed and hardware accelerated cache that allows Redshift queries to run up to 10x faster than other cloud data warehouses by automatically boosting certain types of queries.
Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between.
Learn more about Redshift customers »
10s of thousands
Start small at $0.25 per hour and scale up to petabytes for under $1000 per terabyte per year. Pay only for what you use and know how much you'll spend with predictable monthly costs. Amazon Redshift is at least 50% less expensive than all other cloud data warehouses.
Scale and pay for storage and compute separately and get the optimal amount of storage and compute for diverse workloads. Choose the size of your Redshift cluster based on your performance requirements, and only pay for the storage that you use. The new managed storage automatically scales your data warehouse storage capacity without you having to add and pay for additional compute instances.
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 (preview).
Use SQL to automatically create, train, and deploy Amazon SageMaker models on the data in your data warehouse with Redshift Machine Learning (preview).