HPCC Systems Releases Big Data Analytics Source Code

HPCC Systems from LexisNexis Risk Solutions has released the source code for its HPCC Systems platform to the open source community, enabling developers to leverage and further enhance the platform. To manage, sort, link, join and analyze billions of records within seconds, LexisNexis developed a data-intensive supercomputer that has been proven, and has evolved for over a decade, with customers who need to process large volumes of data. Built on a high performing computer clustering technology, HPCC Systems is an open source solution designed to help large organizations process and deliver big data.

Available immediately for download, the source code can be found at

"We strongly believe that everyone will capitalize and benefit from the innovation that the community will create now that the source code is available," says Armando Escalante, senior vice president and chief technology officer of LexisNexis Risk Solutions and head of HPCC Systems. "The community needs full and immediate access to established, proven technology for big data analytics processing. We feel strongly that HPCC Systems is the most effective solution in the marketplace for big data."

HPCC Systems is comprised of a single architecture, a consistent data-centric programming language called ECL, and two processing platforms: the Thor Data Refinery Cluster and the Roxie Rapid Data Delivery Cluster. The core of the technology platform is the Enterprise Control Language (ECL), which is a declarative, data-centric programming language optimized for large-scale data management and query processing. The Thor Data Refinery Cluster is responsible for ingesting vast amounts of data, transforming, linking and indexing that data, with parallel processing power spread across the nodes. The Roxie Rapid Data Delivery Cluster provides highly scalable, high-performance online query processing and data warehouse capabilities. 

HPCC Systems' Community Edition runs on Linux-based operating systems including Red Hat, CentOS, SUSE, Debian, and Ubuntu.

For more information, visit the HPCC site at