LexisNexis open sources Hadoop challenger

HPCC uses LexisNexis’ own data-centric declarative programming language, known as ECL. Developed 10-years ago, it compiles to C++. HPCC includes two data-crunching platforms: the Thor Data Refinery Cluster and the Roxie Rapid Data Delivery Cluster.
LexixNexis senior vice president and chief technology officer Armando Escalante says Thor is analogous to Hadoop, while Roxie is the component that Hadoop is currently missing. Since it’s written in C++, he says, the system is also faster than Hadoop, which is written in Java.
“We been 10 years perfecting it,” Escalante said, “and we tweaked it up the wazoo to get all the performance we can. We can add more use cases and make it better.”
“We are four faster than Hadoop on the Thor side. If Hadoop needs 1,000 nodes we can do it with 250 – that means less cooling and data center space.”

(Full Story: LexisNexis open sources Hadoop challenger)

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