HPCC
| HPCC | |
|---|---|
| Developer(s) | HPCC Systems, LexisNexis Risk Solutions |
| Initial release | 15-06-2011 |
| Stable release | 7.4.18-1
/ 13-09-2019 |
| Repository | https://github.com/hpcc-systems |
| Written in | C++, ECL |
| Operating system | Linux |
| License | Apache License 2.0 |
| Website | hpccsystems |
HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing for applications utilizing big data. The HPCC platform includes system configurations to support both parallel batch data processing (Thor) and high-performance online query applications using indexed data files (Roxie). The HPCC platform also includes a data-centric declarative programming language for parallel data processing called ECL.
The public release of HPCC was announced in 2011, after ten years of in-house development (according to LexisNexis). It is an alternative to Hadoop and other Big data platforms.