The latest products enable developers to take Sybase's SQL Anywhere, IQ or Adaptive Server Enterprise data-management products and use them to set up and allocate data and analytic servers in Amazon's Elastic Compute Cloud.
Sybase has introduced versions of its data management servers for Amazon's Elastic Compute Cloud environment.
The latest offerings enable developers to take Sybase's SQL Anywhere, IQ or Adaptive Server Enterprise products and use them to set up and allocate data and analytic servers in EC2. The Sybase software will be delivered as production-ready Amazon machine images and priced on hourly system usage rates.
"Sybase Technology works with Amazon Web Services to provide our customers a new way to enable the security, reliability and power of proven Sybase database and analytics products in a way that meets our customer's business goals," Brian Vink, VP of data-management products at Sybase, said in a statement.
Sybase's SQL Anywhere data offers low administrative requirements for workgroup, mobile and Web applications, the vendor said. IQ is for analytics, data warehousing and other business intelligence applications. Finally, Adaptive Server Enterprise is for transaction management systems.
Amazon machine images of the developer editions of the data-management servers, introduced late last month, are currently available. Sybase is scheduled to make available Sept. 30 an Amazon machine image of SQL Anywhere Web Edition, with additional SQL Anywhere AMIs scheduled for release in the fourth quarter.
AMIs of the production versions of Adaptive Server Enterprise are scheduled for availability in the first quarter of 2010.
Pay as you go pricing for all the products will be available at the time of release.
Companies are particularly interested in cloud computing like that provide by Amazon for customer relationship management systems, which typically require less integration with on-premise systems. To convince more companies to adopt cloud computing in other other areas, vendors will have to address a number of concerns that include data management, as well as security, total cost of ownership, regulatory and compliance issues and vendor lock-in.
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