Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Redshift delivers ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk. You can setup and deploy a new data warehouse in minutes, and run queries across petabytes of data in your Redshift data warehouse, and exabytes of data in your data lake built on Amazon S3. You can start small for just $0.25 per hour and scale to $250 per terabyte per year, less than one-tenth the cost of other solutions.
To create your first Amazon Redshift data warehouse, follow our Getting Started Guide and get the most out of your experience. Contact us to request support for your proof-of-concept or evaluation.To accelerate your migration to Amazon Redshift, you can use the AWS Database Migration Service (DMS) free for six months. Learn more »
Amazon Redshift announces concurrency scaling
Concurrency scaling is a new feature that provides consistently fast query performance even with thousands of concurrent users and queries. Amazon Redshift automatically deploys and removes capacity as needed to serve your changing query workload.
Amazon Redshift delivers 10x better performance than other data warehouses. It uses machine learning, a massively parallel architecture, compute-optimized hardware, and result set caching to deliver high throughput and sub-second response times. With Redshift, you spend less time waiting, and more time gaining insights from your data.
Easy to set up, deploy, and manage
Amazon Redshift is simple to use, enabling you to deploy a new data warehouse in minutes. Redshift automates most of the common administrative tasks to manage, monitor, and scale your data warehouse. This helps you break free from the complexities of managing on-premises data warehouses.
Amazon Redshift is the most cost effective cloud data warehouse, and less than 1/10th the cost of traditional data warehouses on-premises. There are no upfront costs with Redshift, and you only pay for what you use. You can start small for just $0.25 per hour with no commitments, and scale out for just $250 per terabyte per year.
Scale quickly to meet your needs
Amazon Redshift enables you to scale from querying gigabytes to exabytes of data across your Redshift data warehouse and Amazon S3 data lake. Quickly analyze any size of data in S3 with no loading or ETL required, and easily resize your Redshift cluster with just a few clicks on the console or a simple API call. With Redshift, you can scale up or down as your needs change.
Query your data lake
Amazon Redshift extends your data warehouse to your data lake to help you gain unique insights that you could not get by querying independent data silos. You can directly query open data formats stored in Amazon S3 with Redshift Spectrum, a feature of Redshift, without the need for unnecessary data movement. This enables you to analyze data across your data warehouse and data lake, together, with a single service.
Amazon Redshift runs mission critical workloads for large financial services, healthcare, retail, and government organizations. The database can be encrypted using AWS KMS or HSM. You can isolate your clusters using Amazon Virtual Private Cloud (VPC). Redshift is compliant with SOC1, SOC2, SOC3, PCI DSS Level 1 requirements, and FedRAMP, and HIPAA eligible with BAA available from AWS.
How it works
Amazon Redshift powers the largest number of data warehousing deployments in the cloud for business, real-time, and predictive analyses.
NTT DOCOMO uses Amazon Redshift to analyze over four petabytes of data.
Finra uses Amazon Redshift to analyze billions of transactions daily.
Johnson & Johnson minimizes time to insight with Amazon Redshift.
Yelp uses Amazon Redshift to analyze massive amounts of clickstream and log data.
Equinox Fitness Club closes their customer journey loop by analyzing clickstream data with Amazon Redshift.
Pinterest powers A/B testing and personalized recommendations with Amazon Redshift.
Accelerate all your analytics workloads
You can use Amazon Redshift to get sub-second results for reports, dashboards, and interactive analysis, and to get fast results for complex queries on any scale of data. Redshift uses machine learning, massively parallel execution, columnar storage on high-performance disk, and result caching to give you the performance you need on any mix of workloads.
Unified data warehouse and data lake
You can use Amazon Redshift to run queries across your data warehouse and data lake to unlock insights that you would not be able to obtain by querying independent data silos. Redshift Spectrum can directly query open file formats in Amazon S3 and data in Redshift in a single query, without the need or delay of loading the S3 data. This gives you the freedom to store data where you want, in the format you want, and get fast query results at any scale.
Modernize your on-premises data warehouse
You can modernize your on-premises data warehouse to a fast, scalable, easy to manage, and cost-effective cloud data warehouse running on Amazon Redshift. Redshift automates most of the common administrative tasks to setup, scale, manage, and maintain your data warehouse. By handling these time-consuming and labor-intensive tasks, you can focus more on your data and your analytics.