HPCC Systems, a part of LexisNexis (News - Alert) Risk Solutions, announced it has released the source code for its HPCC Systems platform to the open source community, enabling developers to leverage and further enhance the platform.

LexisNexis launched HPCC Systems, an open source model designed to solve big data problems in the enterprise, in June. HPCC Systems is essentially a dual license open source model offered by LexisNexis in its data intensive supercomputing platform.

The HPCC Systems is comprised of a single architecture, a consistent data-centric programming language called Enterprise Control Language (ECL), and two processing platforms: the Thor Data Refinery Cluster and the Roxie Rapid Data Delivery Cluster.

ECL is a declarative, data-centric programming language optimized for large-scale data management and query processing. The Thor Data Refinery Cluster ingests vast amounts of data, transforming, linking and indexing that data, with parallel processing power spread across the nodes while the Roxie Rapid Data Delivery Cluster provides highly scalable, high-performance online query processing and data warehouse capabilities.

The HPCC Systems platform helps customers solve Big Data analytics problems, according to company officials. The source code will give the open source community access to established, proven technology for Big Data analytics processing, says Armando Escalante, senior vice president and chief technology officer of LexisNexis Risk Solutions and head of HPCC Systems.

“We feel strongly that HPCC Systems is the most effective solution in the marketplace for Big Data," Escalante added.

GTRI Information and Communications Lab is leveraging the HPCC platforms for several upcoming projects that require Big Data processing.

"The platform fits well with the research we are doing internally and for our diverse base of research customers," said Margaret Loper, GTRI Information and Communications Lab chief scientist, in a statement.

Another client, Georgia Tech Research Institute (GTRI), one of the nation's top research universities, has found ECL and HPCC Systems ideal for solving the informatics challenge of sorting through petabytes of data to find correlations and generate hypotheses.

Sandia National Laboratories, a Federally Funded Research and Development Corporation (FFRDC) within the National Nuclear Security Agency, says ECL is a significant leap forward in declarative programming methods for managing extreme scale data challenges.

HPCC customers, such as financial institutions, insurance carriers, insurance companies, law enforcement agencies, federal government and other enterprise-class organizations leverage the HPCC Systems technology through LexisNexis(R) products and services

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