Groovy intros SQL database soln

SAN MATEO, US: Groovy Corporation, the provider of parallel SQL processing software for the Live Web, today announced the commercial availability of the Groovy SQL Switch, a solution that enables enterprises of all sizes to cost-effectively generate the database scale required to bridge the last mile between real-time and Live data.

Rising data volumes and decreasing tolerance for delays between data production and consumption are motivating businesses like financial institutions, online advertisers, media companies, Internet retailers, auction sites and ticket sales services to update database systems to deliver a true, real-time experience.

To date, the few enterprises that have generated a real-time experience produced real-time performance by massively scaling out datacenters, efforts that generated significant costs, increased complexity and custom solutions specific only to individual networks.

In most cases, the dirty secret about these real-time experiences is that the data is not actually delivered in real-time; at best, it is a near-time experience.

Leveraging multi-threaded programming, multicore processor capability and push technology, the approach delivered by the Groovy SQL Switch enables a Live, or true real-time, data experience, generating greater performance on a smaller footprint and at a greatly reduced price point, said a press release.

"The special purpose engines powering the current stars of real-time search have produced huge advancements in highlighting the value of Live vs. real-time or near real-time data," said Joe Ward, chief executive officer of Groovy Corporation.

"The Groovy SQL Switch will extend the benefits of Live data to enterprises. The milliseconds of increased SQL database performance delivered by the Groovy SQL Switch will eliminate delayed business reaction time caused by batch-based relational databases, enabling faster transactions that generate more revenue," he added.

The Groovy SQL Switch solution is a parallel SQL processing and relational data management system architected for the storage and forwarding of data, as opposed to the storage only approach of traditional relational databases.

It provides a solution for correcting the inability of 30 year-old relational database architectures to linearly scale with the multicore growth curve.

Enterprises can implement the Groovy SQL Switch as a push layer to an existing or new database infrastructure, an accelerator to any database or as an alternative to a new database, added the release.