Amazon open doors to data warehouse service Redshift
Latest addition to AWS family officially launches with hourly pricing and promises of high performance.
Amazon has today officially launched Redshift, its new data warehouse service.
Announced last year at re:Invent conference, the latest
addition to AWS’ lineup of pay-as-you-go cloud offerings was
previously available only as a “service preview”.
Traditional data warehouses, used to search for relationships within large quantities of data, were “too expensive and a pain in the butt to manage” for both large and small companies, claimed AWS boss Andy Jassy during his opening keynote. He added that existing data warehouse-as-a-service offerings were inadequate.
Redshift, like AWS’ other offerings, is entirely cloud-based and can be scaled up on demand. Pricing is hourly, based on the number and types of nodes used, starting at $0.85 per hour. Amazon promise high performance, reportedly achieved with massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations.
As to be expected, Redshift is well-integrated with other AWS services. Data can be imported directly from Amazon’s proprietary NoSQL service DynamoDB using a single command, and during production is automatically backed up to storage service S3. It also interfaces with a number of existing business intelligence products, such as Actuate and Jaspersoft.
Redshift was not the only data warehouse service to be launched at re:Invent. It came as a surprise to BitYota, who launched a similar AWS-hosted service later in the same day. Chief Executive Dev Patel told the Wall Street Journal that he thought his company’s own product was “more flexible and easier to manage”.