Two big pieces of news for Greenplum today.

First, we announced that Fox Interactive Media (FIM) is using a Sun/Greenplum data warehouse appliance to support monetization of FIM’s portfolio of Web properties, including MySpace. The Sun/Greenplum data warehouse appliance provides complex, real-time analysis to drive FIM’s advanced targeted advertising systems.

With 190 million active users generating new content every day, FIM has one of the world’s most demanding analytical workloads. Scalability is paramount: FIM's data volumes are growing so quickly that they urgently needed an infrastructure that could easily scale to support the vast amount of user-generated content. The combination of Solaris, ZFS, and Thumper coupled with our massively parallel database is enabling a new set of applications and services that were previously neither possible nor practical at this scale.

FIM is part of a larger trend: Internet companies are using lower-cost, high-performance database technology like Greenplum's to process and analyze massive amounts of data at Google-like speeds. Internet companies are all dealing with incredibly fast data growth and massive data volumes, which is why Greenplum has had so much success in the Internet market (we're working with FIM, LinkedIn, VideoEgg, iCrossing, Skype and many others). Greenplum customers are truly embracing the parallel computing model to power large-scale analytics.

Which brings us to the second piece of Greenplum news today: the latest version of our parallel database that now includes MapReduce and adds some great new features for large-scale analytics. Greenplum MapReduce enables programmers to run analytics against petabyte-scale datasets stored in and outside of the Greenplum Database. Greenplum MapReduce brings the benefits of a growing standard programming model to the reliability and familiarity of the relational database. Our customers are now able to use this leading-edge new technology on a stable, reliable foundation.