Amazon Redshift
Run and scale analytics on all your data with the best price-performance cloud data warehouse.
Price-Performance
Up to 3x better than other cloud data warehouses
Customers
Tens of thousands
Data Lake Querying
Analyze exabytes of data in Amazon S3
About Amazon Redshift
Amazon Redshift provides a powerful and scalable cloud data warehouse solution that integrates deeply with the AWS ecosystem, including S3 data lakes and operational databases. It uses columnar storage technology and massively parallel processing (MPP) to deliver fast query performance on large datasets. Key features include Redshift ML for creating and training machine learning models directly in the database, streaming ingestion for real-time analytics, and secure data sharing capabilities across different Redshift clusters. Common use cases range from business intelligence and operational reporting to complex predictive analytics and log analysis, making it a central component for modern data architectures.
Core Features
Massively Parallel Processing (Mpp)
Distributes and parallelizes queries for high-performance analytics on large datasets.
Redshift Ml
Allows users to create, train, and deploy machine learning models using simple SQL commands.
Data Sharing
Securely and easily share live data across Redshift clusters, AWS accounts, and regions.
Redshift Serverless
Automatically provisions and scales data warehouse capacity to meet workload demands.
Federated Querying
Query and analyze data across your operational databases, data warehouse, and data lake.
Integration & Data Sources
Aws Ecosystem
Native integration with Amazon S3, AWS Glue, Amazon EMR, Amazon QuickSight, and more.
Data Ingestion
Supports streaming ingestion from Amazon Kinesis Data Streams and Amazon MSK.
Third-Party Tools
Connects with major BI, ETL, and data visualization tools like Tableau, Looker, and Power BI.
Api Access
Provides a Data API for simplified, event-driven access from applications.