Why Amazon Redshift?
Tens of thousands of customers use Amazon Redshift every day to modernize their data analytics workloads and deliver insights for their businesses. With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. AWS’s zero-ETL approach unifies all your data for powerful analytics, near real-time use cases and AI/ML applications. Share and collaborate on data easily and securely within and across organizations, AWS regions and even 3rd party data providers, supported with leading security capabilities and fine-grained governance.
Achieve best price-performance at any scale
Unify all your data with zero-ETL
Maximize value with comprehensive analytics & ML
Innovate faster with secure data collaboration
How it works
Improve financial and demand forecasts
Ingests hundreds of megabytes of data per second so you can query data in near real time and build low latency analytics applications for fraud detection, live leaderboards, and IoT.
Optimize your business intelligence
Build insight-driven reports and dashboards using Amazon Redshift and BI tools such as Amazon QuickSight, Tableau, Microsoft PowerBI, or others.
Accelerate machine learning in SQL
Use SQL to build, train, and deploy ML models for many use cases including predictive analytics, classification, regression and more to support advance analytics on large amount of data.
Monetize your data
Build applications on top of all your data across databases, data warehouses, and data lakes. Seamlessly and securely share and collaborate on to create more value for your customers, monetize your data as a service, and unlock new revenue streams.
Combine your data with third party data sets easily
Whether it's market data, social media analytics, weather data or more, subscribe to and combine third party data in AWS Data Exchange with your data in Amazon Redshift, without hassling over licensing and onboarding processes and moving the data to the warehouse.
Amazon Redshift Serverless
Easily run and scale analytics in seconds without provisioning and managing a data warehouse