How DataXtend CE Provides
Rapid Data Access"> DataXtend CE uses in-memory speed to rapidly access the data, thus accelerating applications in situations that call for very rapid, very frequent changes to database information. It works in a similar way to Oracles TimesTen in-memory database, taking information from pretty much any underlying database and mapping it from its relational representation to an object-oriented representation.DataXtend CE is focused on the increase in data requirements of enterprise applications that has accompanied the rise of SOA (service-oriented architecture). To wit: Whereas each of a group of siloed applications generates a relatively low volume of data requests, a few services in an SOA pick up the work of what was formerly an array of siloed functionality. Because of it, those services then have a much greater rate of data to generate. "When you move to SOA from a silo architecture, youre concentrating services into a few key systems," Singhal said. "Those become mission-critical. The rate at which they must respond to [data] requests is much higher than when you had the original, siloed architecture." DataXtend CE is aimed at increasing response rates in such instances. It would be applied, for example, in an equity-trading SOA. A financial institution that Progress declined to name has been using the product for two or three years to handle data requests from a variety of trading applications, where its techniques of caching and data mapping are "essential" to accelerating data to handle transaction requirements, Singhal said. Both products are available immediately. Check out eWEEK.coms for the latest database news, reviews and analysis.
It then makes that representation available to applications. Versions are available in Java, C++ and C#.