Amazon Redshift Capabilities
Modern, scalable, secure, and high-performance cloud data warehousing to analyze all your data.Achieve best price-performance at any scale
Meet your needs for a highly scalable, performant, and reliable modern cloud data warehouse to handle growing data for any number of concurrent users. With the best price-performance for your workloads, Amazon Redshift runs on Massively Parallel Processing (MPP) architecture and RA3 instances that separate compute and storage. Run and scale any kind of analytics workloads cost effectively without managing data warehouse infrastructure using Amazon Redshift Serverless, complete with AI-driven scaling and optimizations. As you adjust to demanding analytics needs for your business, a reliable cloud data warehouse such as Amazon Redshift becomes imperative for you to minimize disruptions with its multi-Az deployments delivering 99.99% SLAs.
Unify all your data with zero-ETL approaches
Break through data silos in your organization and build an end to end data strategy to analyze all your data. Amazon Redshift employs a zero-ETL approach that enable interoperability and integration between the data warehouse, your Amazon S3 data lakes, operational and NoSQL databases such as Amazon Aurora, Amazon RDS, and Amazon DynamoDB, and even your streaming data services, so that the data is easily and automatically ingested into the warehouse for you or you can access the data in place. No more spending weeks or months building cumbersome and erroneous data pipelines to move the data from one system to another.
Maximize value with comprehensive analytics & ML
From executing SQL queries to building complex dashboards or near real-time and AI/Gen-AI applications, Amazon Redshift makes it easy for you to analyze all your data and drive your business forward. You can spin up a Redshift Serverless endpoint in seconds, use Amazon Redshift’s Query Editor to load, analyze, visualize, and collaborate on your data, across data sources. Submit query requests in plain English and receive custom SQL code recommendations based on your organizations schema metadata with Amazon Q generative SQL in Query Editor. Seamlessly go from data to predictive analytics with Amazon Redshift ML which uses familiar SQL to build, train, and deploy machine learning or forecasting models, right within the warehouse.
Innovate faster with secure data collaboration
Share data securely across AWS regions, teams, and third-party data warehouses without data movement or data copying. In just a few clicks multiple teams can read and update shared data sets and collaborate on up-to-date data across regions, accounts, and even third party data warehouses. Data sharing is centrally governed by AWS Lake Formation. Have the confidence that your data is secure no matter where you operate or how highly regulated your industries are. Amazon Redshift enables fine grained access controls such as role-based access controls, row and column level security and an easy authentication experience with single sign-on for your organizational identity – all provided at no additional cost to you.