HPCC Systems is the open source (Apache 2.0 license) Big Data platform serving three major needs:
- Massively parallel Extraction Transformation and Loading (ETL)
- Massively parallel Analytics
- Highly concurrent and large scale real time data delivery for reporting and OLAP
The majority of the platform is written in C++, although some of the user interface components use Javascript and some of our test code is written in Python. Sources are hosted on github at https://github.com/hpcc-systems/HPCC-Platform and contributions are welcomed. The project is maintained by a group of developers employed by LexisNexis Risk Solutions Group, and it is used as the core technology for several areas of the business, as well as being used by a number of other companies around the world.
To find out more about HPCC Systems, visit our website:
- Find out what HPCC is and how it works.
- Learn more about our Cloud Native Platform.
- Read about the features and benefits of using HPCC Systems:
- Download our free community edition (Bare Metal Version) and supporting documentation.
- Get information on how to contribute to our open source project.
- Visit our community forums and the HPCC Systems GitHub page.
- Read blogs, white papers, case studies, watch demos and listen to podcasts and our monthly Tech Talk presentations.
- Find out about our partner organisations
- Read a comparison of HPCC Systems vs Hadoop and also look at some benchmark tests
The website also provides access to JIRA, our community issue tracker.
You don't need an account to view our website or issue tracker, but you do if you want to post comments in the website forums or get notifications about JIRA issues that may be relevant to you.
Find out more about:
- The HPCC Systems Intern Program
- The LexisNexis Corporate Intern Program
- The HPCC Systems student wiki
- HPCC Systems Technical Presentations by students working on HPCC Systems related projects.
- HPCC Systems Tech Talks
- Events Calendar
