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TheStreet Open House

Amazon Web Services Announces Amazon Redshift

Amazon Web Services Inc., an Amazon.com company (NASDAQ:AMZN), today announced the limited preview of Amazon Redshift, a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables customers to dramatically increase the speed of query performance when analyzing virtually any size data set, using the same SQL-based business intelligence tools they use today. With a few clicks in the AWS Management Console, customers can launch a Redshift cluster, starting with a few hundred gigabytes and scaling to a petabyte or more, for under $1,000 per terabyte per year – one tenth the price of most data warehousing solutions available to customers today. To learn more about Amazon Redshift, visit  http://aws.amazon.com/redshift.

Self-managed, on-premise data warehouses require significant time and resource to administer, especially for large datasets. Loading, monitoring, tuning, taking backups, and recovering from faults are complex and time-consuming tasks. And, the financial cost associated with building, maintaining, and growing traditional data warehouses is flat-out expensive. Larger companies have resigned themselves to paying such a high cost for data warehousing, while smaller companies often find the hardware and software costs prohibitively expensive, leaving most of these organizations without a data warehousing capability. Amazon Redshift aims to change this quagmire. Amazon Redshift manages all of the work needed to set up, operate, and scale a data warehouse, from provisioning capacity to monitoring and backing up the cluster, to applying patches and upgrades. Scaling a cluster to improve performance or increase capacity on Amazon Redshift is simple and incurs no downtime, while the service continuously monitors the health of the cluster and automatically replaces any component needed. Amazon Redshift is also priced cost-effectively (a fraction of existing data warehouses) to enable larger companies to substantially reduce their costs and smaller companies to take advantage of the analytic insights that come from using a powerful data warehouse.

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