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.
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.
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.
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.
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.
SECURE 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.
Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.
Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially relating to human behavior and interactions.