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Description / Rationale

HPCC Systems offers an enterprise ready, open source supercomputing platform to solve big data problems. As compared to Hadoop, the platform offers analysis of big data using less code and less nodes for greater efficiencies and offers a single programming language, a single platform and a single architecture for efficient processing. HPCC Systems is a technology division of LexisNexis Risk Solutions.

Getting Started

Release + Support Policy

In general, a new version of the HPCC Platform is released every 3 months. These releases can be either Major (with breaking changes) or Minor (with new features). Maintenance and security releases (point releases) are typically made weekly, and may occasionally include technical previews.

Maintenance releases are supported for the current and previous release, while security releases are supported for the current and previous two releases:

---
displayMode: compact
---
gantt
    title Release Schedule
    axisFormat %Y-Q%q
    tickInterval 3month
    dateFormat YYYY-MM-DD
    section v8.12.x
        Active:          active, 2023-02-07, 5M
        Critical:        3M
        Security:        6M
    section v9.0.x
        Active:          active, 2023-04-03, 6M
        Critical:        3M
        Security:        6M
    section v9.2.x
        Active:          active, 2023-07-04, 9M
        Critical:        3M
        Security:        3M
    section v9.4.x
        Active:          active, 2023-10-04, 9M
        Critical:        3M
        Security:        3M
    section v9.6.x
        Active:          active, 2024-04-04, 6M
        Critical:        3M
        Security:        3M
    section v9.8.x
        Active:          active, 2024-07-02, 6M
        Critical:        3M
        Security:        3M
    section v9.10.x
        Active:          active, 2024-10-01, 6M
        Critical:        3M
        Security:        3M

Architecture

The HPCC Systems architecture incorporates the Thor and Roxie clusters as well as common middleware components, an external communications layer, client interfaces which provide both end-user services and system management tools, and auxiliary components to support monitoring and to facilitate loading and storing of filesystem data from external sources. An HPCC environment can include only Thor clusters, or both Thor and Roxie clusters. Each of these cluster types is described in more detail in the following sections below the architecture diagram.

Thor

Thor (the Data Refinery Cluster) is responsible for consuming vast amounts of data, transforming, linking and indexing that data. It functions as a distributed file system with parallel processing power spread across the nodes. A cluster can scale from a single node to thousands of nodes.

Roxie

Roxie (the Query Cluster) provides separate high-performance online query processing and data warehouse capabilities. Roxie (Rapid Online XML Inquiry Engine) is the data delivery engine used in HPCC to serve data quickly and can support many thousands of requests per node per second.

ECL

ECL (Enterprise Control Language) is the powerful programming language that is ideally suited for the manipulation of Big Data.

ECL IDE

ECL IDE is a modern IDE used to code, debug and monitor ECL programs.

ESP

ESP (Enterprise Services Platform) provides an easy to use interface to access ECL queries using XML, HTTP, SOAP and REST.

Developer documentation

The following links describe the structure of the system and detail some of the key components:

Regression test

cd /opt/HPCCSystems/testing/regress
./ecl-test query --target thor nlppp.ecl