Amazon Redshift

Power data driven decisions with the best price-performance cloud data warehouse

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 up to 6x better price performance than any other cloud data warehouse, with a fully managed, AI powered, Massively Parallel Processing (MPP) data warehouse built for performance, scale, and availability.
Easily access or ingest data across your data lakes, databases, data warehouses, streaming data - with no code/low code zero-ETL approach for integrated analytics
Run SQL queries and open source analytics, power dashboards and visualizations, activate near real-time analytics and AI/ML applications with analytics engines and languages of your choice.
Share and collaborate on data easily within and across your organizations, AWS regions, and even 3rd party data sets with no manual data movement or copying and with fine grained governance, security, and compliance.

How it works

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.