Amazon open doors to data warehouse service Redshift
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”.