HPCC Systems®

HPCC Systems® is a mature platform that has been heavily used in commercial applications for almost two decades, predating the development of Hadoop. Created by LexisNexis® Risk Solutions, an innovative pioneer in big data processing, and open source for nearly a decade now, HPCC Systems features a vibrant development community that continues to push the boundaries of Big Data.

This powerful, versatile platform makes it easier for developers to see the data they’re working with and manipulate it as needed. Flexible information delivery makes it easier for your clients to query and find the data they need — and it runs analysis and queries faster than other platforms such as SQL or Hadoop.

Learn ECL

Learn ECL offers interactive tutorials and sample code for mastering ECL, a language for big data processing with HPCC Systems. Ideal for beginners and experts, it covers data handling and analysis, making it a valuable resource for ECL learners.

Projects

HPCC Systems® Auth Service

Auth-service is a robust access control system, ensuring secure access to protected areas through digital signatures and key pair verification. It simplifies user administration with an intuitive interface, allowing organizations to effortlessly manage user accounts and permissions, enhancing overall security and access management.

HPCC Systems® Tombolo

Revolutionizing HPCC Systems Cluster Management with Data Catalog Power. Tombolo serves as an an open-source robust data catalog tool, transforming HPCC Systems cluster management into a seamless experience. This innovative solution is your gateway to effortless workflow creation, asset monitoring, version control, and more, all with a data-centric focus.

HPCC Systems® REAL BI

REAL BI (Roxie Enabled Business Intelligence), a dynamic and powerful data tool, plays a pivotal role in bridging the gap between data stored in HPCC clusters and insightful visualizations. This innovative solution provides organizations with the means to harness the wealth of information within their HPCC data repositories effectively.